161 results on '"Nickson C"'
Search Results
2. Contrast-enhanced mammography for surveillance in women with a personal history of breast cancer
- Author
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Matheson, J, Elder, K, Nickson, C, Park, A, Mann, GB, Rose, A, Matheson, J, Elder, K, Nickson, C, Park, A, Mann, GB, and Rose, A
- Abstract
PURPOSE: Women with a personal history of breast cancer have an increased risk of subsequent breast malignancy and may benefit from more sensitive surveillance than conventional mammography (MG). We previously reported outcomes for first surveillance episode using contrast-enhanced mammography (CEM), demonstrating higher sensitivity and comparable specificity to MG. We now report CEM performance for subsequent surveillance. METHODS: A retrospective study of 1,190 women in an Australian hospital setting undergoing annual surveillance following initial surveillance CEM between June 2016 and December 2022. Outcome measures were recall rate, cancer detection rate, contribution of contrast to recalls, false positive rate, interval cancer rate and characteristics of surveillance detected and interval cancers. RESULTS: 2,592 incident surveillance episodes were analysed, of which 93% involved contrast-based imaging. Of 116 (4.5%) recall episodes, 40/116 (34%) recalls were malignant (27 invasive; 13 ductal carcinoma in situ), totalling 15.4 cancers per 1000 surveillance episodes. 55/116 (47%) recalls were contrast-directed including 17/40 (43%) true positive recalls. Tumour features were similar for contrast-directed recalls and other diagnoses. 8/9 (89%) of contrast-directed invasive recalls were Grade 2-3, and 5/9 (56%) were triple negative breast cancers. There were two symptomatic interval cancers (0.8 per 1000 surveillance episodes, program sensitivity 96%). CONCLUSION: Routine use of CEM in surveillance of women with PHBC led to an increase in the detection of clinically significant malignant lesions, with a low interval cancer rate compared to previous published series. Compared to mammographic surveillance, contrast-enhanced mammography increases the sensitivity of surveillance programs for women with PHBC.
- Published
- 2024
3. Contrast Enhanced Mammography in Breast Cancer Surveillance
- Author
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Elder, K., primary, Matheson, J., additional, Nickson, C., additional, Box, G., additional, Ellis, J., additional, Mou, A., additional, Shadbolt, C., additional, Park, A., additional, Tay, J., additional, Rose, A., additional, and Mann, G.B., additional
- Published
- 2022
- Full Text
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4. Contrast enhanced mammography in further assessment of screen-detected breast cancer
- Author
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Maccallum, C., primary, Mann, G.B., additional, Rose, A., additional, Nickson, C., additional, and Ruecker, K., additional
- Published
- 2022
- Full Text
- View/download PDF
5. Treatment Intensity Differences According to Participation in a Population Screening Program
- Author
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Mann, G. B., Nickson, C., and Elder, K.
- Published
- 2019
- Full Text
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6. Hippocampal Sparing Radiotherapy in adults with Primary Brain Tumors: A comparative planning and dosimetric study using IMPT, IMRT and 3DCRT
- Author
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Aka, P, Taylor, R, Hugtenburg, R, Lambert, J, Powell, J, Bevolo, T, Gao, M, Gondi, V, Hartsell, W.H, Bolsi, A, Beer, J, Belosi, M.F, Siewert, D, Lomax, A.J, Weber, D.C, Huang, Y.J, Huang, C.C, Chao, P.J, Liu, C, Shang, H, Ding, X, Wang, Y, Mammar, H, Froelich, Sébastien, Alapetite, Claire, Bolle, Stéphanie, Calugaru, Valentin, Feuvret, Loic, Helfre, Sylvie, Champion, Laurence, Goudjil, Farid, Dendal, Remi, Engelholm, S.A, Munck Af Rosenschold, P, Kristensen, I, Smulders, B, Muhic, A, Alkner, S, Jacob, E, Engelholm, S, Aljabab, S, Lui, A, Wong, T, Liao, J, Laramore, G, Parvathaneni, U, Kharouta, M, Pidikiti, R, Jesseph, F, Smith, M, Dobbins, D, Mattson, D, Choi, S, Mansur, D, Machtay, M, Bhatt, A, Lütgendorf-Caucig, C, Dunavölgyi, R, Georg, P, Perpar, A, Fussl, C, Konstantinovic, R, Ulrike, M, Piero, F, Eugen, H, Vidal, M, Gerard, A, Barnel, C, Maneval, D, Herault, J, Claren, A, Doyen, J, Dendale, R, Toutee, A, Pasquie, I, Goudjil, F, Lumbroso Lerouic, L, Levy, C, Desjardins, L, Cassoux, N, Elisei, G, Pella, A, Calvi, G, Ricotti, R, Tagaste, B, Valvo, F, Ciocca, M, Via, R, Mastella, E, Baroni, G, Saotome, N, Yonai, S, Makishima, H, Hara, Y, Inaniwa, T, Sakama, M, Kanematsu, N, Tsuji, H, Furukawa, T, Shirai, T, Sauerwein, W, Finger, P.T, Gallie, B, Gavrylyuk, Y, Thariat, J, Salleron, J, Maschi, C, Fevrier, E, Caujolle, J.P, Hofverberg, P, Angellier, G, Peyrichon, M.L, Breneman, J, Esslinger, H, Pater, L, Vatner, R, Habrand, J.L, Stefan, D, Lesueur, P, Kao, W, Véla, A, Geffrelot, J, Tessonnier, T, Balosso, J, Mahé, M.A, Lim, P.S, Rompokos, V, Chang, Y.C, Royle, G, Gaze, M, Gains, J, Vennarini, S, Francesco, F, Rombi, B, Amichetti, M, Schwarz, M, Lorentini, S, Mee, T, Burnet, N.G, Crellin, A, Kirkby, N.F, Smith, E, Kirkby, K.J, Roggio, M, Buwenge, M, Melchionda, F, Ammendolia, I, Ronchi, L, Cammelli, S, Morganti, A.G, Youn, S.H, Kim, J.Y, Park, H.J, Shin, S.H, Lee, S.H, Hong, E.K, Czerska, K, Winczura, P, Wejs-Maternik, J, Blukis, A, Antonowicz-Szydlowska, M, Rucinski, A, Olko, P, Badzio, A, Kopec, R, Franceschini, D, Cozzi, L, De Rose, F, Meattini, I, Fogliata, A, Cozzi, S, Becherini, C, Tomatis, S, Livi, L, Scorsetti, M, Garda, A, Fattahi, S, Michel, A, Mutter, R, Yan, E, Park, S, Corbin, K, Giap, H, LAM, W.W, Geng, H, Tang, K.K, Lee, T.Y, Kong, C.W, Yang, B, Chiu, T.L, Cheung, K.Y, Yu, S.K, Ma, M, Gao, X, Zhao, Z, Zhao, B, Mullikin, T, Routman, D, Yu, J, Greco, K, Fagundes, M, Shan, J, Daniels, T, Rule, W, DeWees, T, Hu, Y, Bues, M, Sio, T, Liu, W, chenbin, L, yuehu, P, yuenan, W, Bai, Y, Gao, X.S, Zhao, Z.L, Ma, M.W, Ren, X.Y, Salem, A, Woolf, D, Aznar, M, Azadeh, A, Eccles, C, Charlwood, F, Faivre-Finn, C, Teoh, S, Fiorini, F, George, B, Vallis, K, Van den Heuvel, F, Huang, E.Y, Juang, P.J, Pan, S, Hawkins, M, Clarke, M, Lowe, M, Radhakrishna, G, Schaub, S, Bowen, S, Nyflot, M, Chapman, T, Apisarnthanarax, S, Vitek, P, Kubes, J, Vondracek, V, Vinakurau, S, Zamecnik, L, Vitolo, V, Barcellini, A, Brugnatelli, S, Cobianchi, L, Vanoli, A, Fossati, P, Facoetti, A, Dionigi, P, Orecchia, R, Iannalfi, A, Vischioni, B, Ronchi, S, D’Ippolito, E, Petrucci, R, Yamaguchi, H, Honda, M, Hamada, K, Todate, Y, Seto, I, Suzuki, M, Wada, H, Murakami, M, Yu, Z, Zheng, W, Lien-Chun, L, Zhengshan, H, Qing, Z, Jiade, L, Guoliang, J, Fiore, M.R, D'Ippolito, E, Fukumitsu, N, Hayakawa, T, Yamashita, T, Mima, M, Demizu, Y, Suzuki, T, Soejima, T, Hartsell, W, Collins, S, Casablanca, V, Mihalcik, S, Brennan, E, Van Nispen, A, Corbett, A, Mohammed, N, Lee, P, van Nispen, A, Liang, Y.S, Mein, S, Kopp, B, Choi, K, Haberer, T, Debus, J, Abdollahi, A, Mairani, A, Ogino, H, Iwata, H, Hashimoto, S, Nakajima, K, Hattori, Y, Nomura, K, Shibamoto, Y, Li, P, Wu, S, Deng, L, Zhang, G, Zhang, Q, Fu, S, Yang, Z, Zhang, Y, Sasaki, R, Okimoto, T, Akasaka, H, Miyawaki, D, Yoshida, K, Wang, T, Komatsu, S, Fukumoto, T, Shuang, W, Xin, C, zhengshan, H, Shen, F, Vorobyov, N, Andreev, G, Martynova, N, Lyubinsky, A, Kubasov, A, Chen, J, Ma, N, Lu, Y, Zhao, J, Shahnazi, K, Lu, J, Jiang, G, Mao, J, Walser, M, Bojaxhiu, B, Kawashiro, S, Tran, S, Pica, A, Bachtiary, B, Weber, D, Gaito, S, Abravan, A, Richardson, J, Colaco, R, Saunders, D, Brennan, B, Petersen, I, Ahmed, S, Laack, N, Mizoe, J.E, Iizumi, T, Minohara, S, Kusano, Y, Matsuzaki, Y, Tsuchida, K, Serizawa, I, Yoshida, D, Katoh, H, Sakurai, H, Tujii, H, Kim, T.H, Park, J.W, Bo Hyun, K, Hyunjung, K, Sung Ho, M, Sang Soo, K, Sang Myung, W, Young-Hwan, K, Woo Jin, L, Dae Yong, K, Hong, Z, Wang, Z, Koroulakis, A, Molitoris, J, Kaiser, A, Hanna, N, Jiang, Y, Regine, W, DeCesaris, C.M, Choi, J.I, Carr, S.R, Burrows, W.M, Regine, W.F, Simone, C.B, Aihara, T, Hiratsuka, J, Kamitani, N, Higashino, M, Kawata, R, Kumada, H, Ono, K, Chou, Y.C, Dippolito, E, Bonora, M, Alterio, D, Gandini, S, Jereczeck, B.A, Kelly, C, Dobeson, C, Iqbal, S, Chatterjee, S, Hague, C, Li, T, Lin, A, Lukens, J, Slevin, N, Thomson, D, van Herk, M, West, C, Teo, K, Jeans, E, Manzar, G, Patel, S, Ma, D, Lester, S, Foote, R, Friborg, J, Jensen, K, Hansen, C.R, Andersen, E, Andersen, M, Eriksen, J.G, Johansen, J, Overgaard, J, Grau, C, Dědečková, K, Vítek, P, Ondrová, B, Sláviková, S, Zapletalová, S, Zapletal, R, Vondráček, V, Rotnáglová, E, Kwanghyun, J, Woojin, L, Dongryul, O, Yong Chan, A, Paudel, N, Schmidt, S, Ruckman, M, Gans, S, Stauffer, M, Helenowski, I, Patel, U, Samant, S, Gentile, M, Damico, N, Yao, M, Shuja, M, Routman, D.M, Foote, R.L, Garces, Y.I, Neben-Wittich, M.A, Patel, S.H, McGee, L.A, Harmsen, W.S, Ma, D.J, Sommat, K, Tong, A.K.T, Hu, J, Ong, A.L.K, Wang, F, Sin, S.Y, Wee, T.S, Tan, W.K, Fong, K.W, Soong, Y.L, Wallace, N, Fredericks, S, Fitzgerald, T, Vernimmen, F, Petringa, G, Cirrone, P, Agosteo, S, Attili, A, Cammarata, F.P, Cuttone, G, Conte, V, La Tessa, C, Manti, L, Rosenfeld, A, Lojacono, P.A, Hennings, F, Fattori, G, Peroni, M, Lomax, A, Hrbacek, J, Nguyen, H.G, Bach Cuadra, M, Sznitman, R, Schalenbourg, A, Pflaeger, A, Weber, A, Seidel, S, Stark, R, Heufelder, J, Mailhot Vega, R, Bradley, J, Lockney, N, Macdonald, S, Liang, X, Mazal, A, Mendenhall, N, Sher, D, Korreman, S.S, Andreasen, S, Petersen, J.B, Offersen, B.V, Gergelis, K, Jethwa, K, Whitaker, T, Shiraishi, S, Shumway, D, Press, R, Shelton, J, Zhang, C, Dang, Q, Tian, S, Shu, T, Seldon, C, Jani, A, Zhou, J, McDonald, M, Gort, E, Beukema, J.C, Spijkerman-Bergsma, M.J, Both, S, Langendijk, J.A, Matysiak, W.P, Brouwer, C.L, Baba, K, Numajiri, H, Murofushi, K, Oshiro, Y, Mizumoto, M, Onishi, K, Nonaka, T, Ishikawa, H, Okumura, T, Dominietto, M, Adam, K, Ahlhelm, F.J, Safai, S, Abdul-Jabbar, L, Song, J, Tseng, Y. D, Rockhill, J, Fink, J, Chang, L, Halasz, L. M, Guntrum, F, Steinmeier, T, Nagaraja, S, Jazmati, D, Geismar, D, Timmermann, B, Plaude, S, Lynch, C, Petras, K, Chang, J, Grimm, S, Lukas, R, Kumthekar, P, Merrell, R, Kalapurakal, J, Gross, J, Hoppe, B, Simone, C, Nichols, R.C, Pham, D, Mohindra, P, Chon, B, Morris, C, Li, Z, Flampouri, S, Powell, J.R, Murray, L, Burnet, N, Fernandez, S, Lingard, Z, McParland, L, O’Hara, D, Whitfield, G, Short, S.C, Guan, X, Gao, J, Hu, W, Yang, J, Xing, X, Hu, C, Kong, L, Zou, Z, Thomas, H, Sasidharan, B.K, Rengan, R, Zeng, J, Busold, S, Heese, J, Cerello, P, Bottura, L, Felcini, E, Ferrero, V, Monaco, V, Pennazio, F, de Rijk, G, Chang, H, KyungDon, C, Byunghun, H, Gyuseong, C, Chilukuri, S, Jalali, R, Panda, P.K, Korn, G, Larosa, G, Russo, A, Schillaci, F, Scuderi, V, Margarone, D, Fredén, E, Almhagen, E, Mejaddam, Y, Siegbahn, A, Guardiola, C, Gómez, F, Prieto-Pena, J, Fleta, C, De Marzi, L, Prezado, Y, Kabolizadeh, P, Reitemeier, P, Navin, M, Hamstra, D, Anderson, J, Stevens, C, Bartolucci, L, Adrien, C, Lejars, M, Vaillant, M, Fourquet, A, Robillard, M, Costa, E, Kirova, Y, Kolano, A.M, Degiovanni, A, Farr, J.B, Kundel, S, Pinto, M, Kurichiyanil, N, Würl, M, Englbrecht, F, Hillbrand, M, Schreiber, J, Parodi, K, Kurup, A, Magliari, A, Perez, J, Masui, S, Asano, T, Owen, H, Burt, G, Apsimon, R, Pitman, S, Popovici, M.A, Vasilache, R, Safavi-Naeini, M, Chacon, A, Howell, N, Middleton, R.J, Fraser, B, Guatelli, S, Rendina, L, Matsufuji, N, Gregoire, M.C, Sikora, K, Pettingell, J, Crocker, M, Saplaouras, A, Snijders, A, Mao, J.H, Nakamura, K, Bin, J, Gonsalves, A, Mao, H.S, Steinke, S, Roach, M, Leemans, W, Blakely, E, Takayama, K, Tan, T.S, Wee, J.T.S, Tuan, J.K.L, Wang, M.L.C, Quah, J.S.H, Tay, N.C.W, Lee, J.C.L, Lim, J.K.H, Oei, A.A, Tan, J.M, Park, S.Y, Chow, W.W.L, Omar, Y.B, Chew, P.G, Taylor, P, Lee, J, Tsurudome, T, Hirabayashi, M, Tsutsui, H, Yoshida, J, Takahashi, N, Kamiguchi, N, Hashimoto, A, Tachikawa, T, Mikami, Y, Kumata, Y, Wang, M, Chua, E.T, Wee, J, Wong, F.Y, Tuan, J, Master, Z, Wong, S, Welsh, J, Hentz, C, Pankuch, M, DeJongh, F, Xia, Y, Aitkenhead, A.H, Appleby, R, Merchant, M.J, MacKay, R.I, Young, H, Hughes, V, Alsulimane, M, Barajas, C.A, Taylor, J, Casse, G, Omar, A, Burdin, S, Boon, C, Lester, J, Thomas, A.J, Khan, A, Huthart, L, Leaver, K, Snell, J, Warlow, A, Burigo, L.N, Oborn, B, Belosi, F, Fredh, A, van de Water, S, Schneider, T, Patriarca, A, Bergs, J, Hierso, E, Hirayama, R, Martínez-Rovira, I, Seksek, O, Shirato, H, Nakamura, T, Ogino, T, Akimoto, T, Tamamura, H, Nishimoto, N, Proton-Net, G, Shimizu, S, Fabiano, S, Bangert, M, Guckenberger, M, Unkelbach, J, Mcauley, G, Teran, A, Slater, J, Wroe, A, Boon, I, Clorley, J, Owen, K, Oliver, T, Cicchetti, A, Ballarini, F, Rancati, T, Carrara, M, Zaffaroni, N, Bezawy, R. El, Carante, M, Valdagni, R, Faccini, R, Forte, G.I, Dhinsey, S, Greenshaw, T, Parsons, J, Welsch, C, Stock, M, Grevillot, L, Kragl, G, Carlino, A, Martino, G, Hug, E, Arya, H, Chirayath, V.A, Jin, M, Weiss, A.H, Glass, G.A, Chi, Y, Kaplan, L.P, Perez, R.A, Vestergaard, A, Gittings, E, Stamper, J, Beltran, C, Mark, P, Furutani, K, McAuley, G, Gordon, J, Boisseau, P, Dart, A, Nett, W, Kollipara, S, Grossmann, M, Actis, O, Diete, W, Rudolf, D, Klein, H.U, Kramert, R, Meer, D, Venkataraman, C, Waterstradt, T, Hérault, J, Bergerot, J.M, Hsi, W.C, Zhou, R, Zhang, X, Yang, F, Yinxiangzi, S, Sun, J, Li, X, Zhiling, C, Yuehu, P, Mengya, G, Haiyun, K, Qi, L, Zhentang, Z, Lin, Y.H, Tan, H.Q, Tan, L.K.R, Ang, K.W, Xiufang, L, Milkowski, K, Pang, D, Jones, M, Mizota, M, Tsunashima, Y, Himukai, T, Ogata, R, Uno, T, Ouyang, L, Jia, B, Li, D, Paul, K, Pullia, M, Savazzi, S, Lante, V, Foglio, S, Donetti, M, Falbo, L, Casalegno, L, Rousseau, M, Shinomiya, K, Yazawa, T, Iseki, Y, Kanai, Y, Hirata, Y, Powers, J, Solovev, A, Chernukha, A, Saburov, V, Shegai, P, Ivanov, S, Kaprin, A, Stolarczyk, L, Mojżeszek, N, Van Hoey, O, Farah, J, Domingo, C, Mares, V, Ploc, O, Trinkl, S, Harrison, R, Toltz, A, Nevitt, Z, Bloch, C, Taddei, P, Saini, J, Regmi, R, Yuntao, S, Jinxing, Z, Yap, J.S.L, Hentz, M, Silverman, J, Jolly, S, Boogert, S, Nevay, L, Kacperek, A, Schnuerer, R, Resta-Lopez, J, Zeng, X, Zheng, J, Li, M, Han, M, Song, Y, Holm, A, Korreman, S, Petersen, J.B.B, Bäumer, C, Fuenstes, C, Janson, M, Matic, A, Wulff, J, Psoroulas, S, Lomax, T, Arjomandy, B, Athar, B, Tesfamicael, B, Bejarano Buele, A, Deemer, J, Kozlyuk, V, VanSickle, K, Bolt, R, van Goethem, M.J, Langendijk, J, van t Veld, A, Chen, K.L, Wlodarczyk, B, Wu, H, Chen, Z, Shen, L, Fachouri, N, Placidi, L, Böhlen, T, Ieko, Y, Iwai, T, Nemoto, K, Suzuki, K, Kanai, T, Miyasaka, Y, Harada, M, Yamashita, H, Kubota, I, Kayama, T, Jensen, M.F, Bræmer-Jensen, P, Randers, P, Søndergaard, C.S, Nørrevang, O, Taasti, V.T, Kong, H, Yin, C, Gu, M, Liu, M, Shu, H, Chongxian, Y, Haiyang, Z, Juan, Z, Ming, L, Manzhou, Z., Liying, Z, Kecheng, C, Xiaolei, D, Castro, J, Freire, J, Cremades, M, Moral, L, Rico, P, Ares, C, Miralbell, R, Shi, J, Xia, J, Wang, B, Li, Q, Liu, X, Sung, C.C, Chen, W.P, Liao, T.Y, Takashina, M, Hamatani, N, Tsubouchi, T, Yagi, M, Mizoe, J, Titt, U, Mirkovic, D, Yepes, P, Wang, Q, Grosshans, D, Wieser, H.P, Mohan, R, Vadrucci, M, Xiao, G, Cai, X, Li, G, Yuan, Y, Lu, R, Sun, G, Zhang, M, Deming, L, lianhua, O, Takada, K, Tanaka, S, Matsumoto, Y, Naito, F, Kurihara, T, Nakai, K, Matsumura, A, Sakae, T, Shamurailatpam, D, P, K, Mp, N, A, M, Kg, G, T, R, C, S, J, R, Rozes, A, Dutheil, P, Batalla, A, Vela, A, Rana, S, Bennouna, J, Gutierrez, A, He, P, Shen, G, Dai, Z, Ma, Y, Chen, W, Pandey, J, Chirvase, C, Osborne, M, Ilsley, E, Di Biase, I, Kato, T, Hirose, K, Arai, K, Motoyanagi, T, Harada, T, Takeuchi, A, Kato, R, Tanaka, H, Mitsumoto, T, Takai, Y, Bolsa-Ferruz, M, Palmans, H, Chen, Y.S, Wu, S.W, Huang, H.C, Wang, H.T, Yeh, C.Y, Chen, H.H, Cook, H, Lourenço, A, Dal Bello, R, Magalhaes Martins, P, Hermann, G, Kihm, T, Seimetz, M, Brons, S, Seco, J, De Saint-Hubert, M, Swakon, J, De Freitas Nascimento, L, Tessaro, V.B, Poignant, F, Gervais, B, Beuve, M, Galassi, M.E, Harms, J, Chang, C.W, Zhang, R, Lin, Y, Langen, K, Liu, T, Lin, L, Howard, M, Denbeigh, J, Remmes, N, Debrot, E, Herman, M, Huang, Y.Y, Tsai, S.H, Fang, F.M, Mizuno, H, Sagara, T, Yamazaki, Y, Kato, M, Oyama, S, Pembroke, C, Joslin-Tan, T, Maggs, R, O’Neil, K, Barrett-Lee, P, Staffurth, J, Resch, A, Heyes, P, Georg, D, Fuchs, H, Hideyuki, M, katsuhisa, N, Wataru, Y, Samnøy, A.T, Ytre-Hauge, K.S, Povoli, M, Kok, A, Summanwar, A, Linh, T, Malinen, E, Röhrich, D, Asp, J, Santos, A, Afshar, V.S, Zhang, W.Q, Bezak, E, a, M, k, G, p, K, mp, N, t, R, c, S, j, R, Smith, B, Hammer, C, Hyer, D, DeWerd, L, Culberson, W, Brooke, M, Straticiuc, M, Craciun, L, Matei, C.E, Radu, M, Xiao, M, Paschalis, S, Joshi, P, Price, T, Mehta, M, Graça, J, Biglin, E, Aitkenhead, A, Price, G, Williams, K, Chadwick, A, Schettino, G, Robinson, A, Kirkby, K, Catanzano, D, Cessac, R, Rutherford, R, Ahmed, A, Mohammadi, A, Tashima, H, Yamaya, T, Chavez Barajas, C, Taylor, A, Vossebeld, J, Barwick, I, CHEON, W, Jo, K, Ahn, S.W, Cho, J, Han, Y, Choi, H.H.F, Cheung, C.W, Cohilis, M, Lee, J.A, Sterpin, E, Souris, K, Mundy, D, Petasecca, M, Rosenfeld, A.B, Boso, A, Di Fulvio, A, Becchetti, F.D, Torres-Isea, R.O, Febbraro, M, Gagnon-Moisan, F, Feng, Y, Fontana, M, Etxebeste, A, Dauvergne, D, Letang, J.M, Testa, E, Sarrut, D, Maxim, V, Gajewski, J, Durante, M, Garbacz, M, Krah, N, Krzempek, K, Schiavi, A, Skrzypek, A, Tommasino, F, Ruciński, A, Gillin, M, Sahoo, N, Zhu, X.R, Van Delinder, K.W, Crawford, D, Khan, R, Gräfe, J, Kakiuchi, G, Shioyama, Y, Shimokomaki, R, Huang, Z, Wang, W, Sheng, Y, Lee, M.W, Jan, M.L, Hong, J.H, Okamoto, K, Sato, H, Kalantan, S, Boston, A, Kang, Y, Shen, J, Casey, W, Vern-Gross, T, Wong, W, McGee, L, Halyard, M, Keole, S, Kelleter, L, Radogna, R, Saakyan, R, Basharina-Freshville, A, Attree, D, Volz, L, Komenda, W, Krzempek, D, Mierzwińska, G, Barbara, M, Kopeć, R, Lan, J.H, Chang, F.X, Lin, C.H, Lee, T.F, Ahn, S, Cheon, W, Lee, M, Letellier, V, Osorio, J, Dreindl, R, Livingstone, J, Gallin-Martel, M.L, Létang, J.M, Marcatili, S, Morel, C, Maggi, P, Chen, H, Yang, H, Panthi, R, Mackin, D, Peterson, S, Beddar, S, Polf, J, Masuda, T, Nishio, T, Sano, A, Tomozawa, H, Nishio, A, Tsuneda, M, Okamoto, T, Karasawa, K, Miszczynska Giza, O, Sánchez-Parcerisa, D, Herraiz, J. L, Rojo-Santiago, J, Udias, J.M, Mitrović, U, Hager, M, List, I, Fischer, C, Cecowski, M, Gajšek, R, Mizutani, S, Hotta, K, Baba, H, Tanizaki, N, Yamaguchi, T, Moon, S.Y, Rah, J.E, Yoon, M, Shin, D, Nebah, P, Dugas, J, Syh, J, Maynard, M, Marsh, N, Rosen, L, Nichiporov, D, Watts, D.A, Chen, Y, Petterson, M, Lee, W.D, Penfold, S.N, Ruebel, N, Piersimoni, P, Mille, M, Mossahebi, S, Chen-Mayer, H, Allport, P, Green, S, Shaikh, S, Walker, D, Qamhiyeh, S, Levegruen, S, Kutscher, S, Kranke, H, Olbrich, G, Stuschke, M, Baran, J, Pawlik-Niedzwiecka, M, Moskal, P, Rutherford, H, Poenisch, F, Martin, C, Wu, R, Mayo, L.L, Shah, S.J, Frank, S.J, Gunn, G.B, Sakurai, Y, Takata, T, Kondo, N, Schlegel, N, Deng, Y, Sun, W, Wu, X, Yap, J, Zhang, H, Szumlak, T, Schuy, C, Simeonov, Y, Zink, K, Graeff, C, Weber, U, Allred, B, Robertson, D, Dewees, T, Gagneur, J, Stoker, J, Stützer, K, Valentini, C, Agolli, L, Hölscher, T, Thiele, J, Dutz, A, Löck, S, Krause, M, Baumann, M, Richter, C, Takayanagi, T, Uesaka, T, Nakamura, Y, Unlu, M.B, Kuriyama, Y, Uesugi, T, Ishi, Y, Umegaki, K, Matsuura, T, Watts, D. A, Huisman, B, Valladolid Onecha, V, Fraile, L.M, Sanchez Parcerisa, D, España, S, Ze, W, Chen, H.Y, Chuang, K.S, Wilson, M, Lui, J, Noble, D, Holloway, S, Yap, J.H.H, Chew, M.M.L, Pang, P.P, Lim, C.J.C, Gan, S.A, Tan, T.W.K, Shen, Z.M, Moyers, M, Qianxia, W, Chen, H.L, Li, J, Lin, J, Zhao, L, Myers, W, Ates, O, Faught, J, Yan, Y, Faught, A, Sobczak, D, Hua, C.H, Moskvin, V, Merchant, T, Henkner, K, Ecker, S, Chaudhri, N, Ellerbrock, M, Jäkel, O, Hernandez Morales, D, Augustine, K, Johnson, J, Younkin, J, Fiorina, E, Mattei, I, Morrocchi, M, Sarti, A, Traini, G, Valle, S.M, Bert, C, Karger, C.P, Kamada, T, Scholz, M, DeLuca, P.M, De Simoni, M, Dong, Y, Embriaco, A, Fischetti, M, Mancini-Terracciano, C, Mirabelli, R, Muraro, S, Lens, E, de Blécourt, A, Schaart, D, Vos, F, van Dongen, K, Berthold, J, Khamfongkhruea, C, Petzoldt, J, Wohlfahrt, P, Pausch, G, Janssens, G, Smeets, J, Shamblin, J, Blakey, M, Moore, R, Matteo, J, Schreuder, N, Derenchuk, V, Shin, J, Jee, K.W, Clasie, B.M, Depauw, N, Batin, E, Madden, T.M, Schuemann, J, Paganetti, H, Kooy, H.M, Daniel, M, Abbassi, L, Arsène-Henry, A, Amessis, M, Maes, S, O’Ryan-Blair, A, Laval, G, Ermoian, R, Taddei, P. J, Andersson, K, Norrlid, O, Lindbäck, E, Vallhagen Dahlgren, C, Witt Nyström, P, Argota Perez, R, Sharma, M.B, Elstrøm, U.V, Bizzocchi, N, Albertini, F, Branco, D, Kry, S, Rong, J, Frank, S, Followill, D, Busch, K, Muren, L.P, Thörnqvist, S, Andersen, A.G, Pedersen, J, Dong, L, Cao, W, Bai, X, Van Lobenstein, N, Traneus, E, Anson, C, Comi, S, Marvaso, G, Russo, S, Giandini, T, Avuzzi, B, Ciardo, D, Cattani, F, Jereczek-Fossa, B, Cotterill, J, Esposito, M, Winter, A, Allinson, N, Liu, G, Yan, D, Jawad, S, Dilworth, J, Chen, P, Ackermann, B, Florijn, M, Sharfo, A.W.M, Wiggenraad, R.G.J, van Santvoort, J.P.C, Petoukhova, A.L, Hoogeman, M.S, Mast, M.E, Dirkx, M.L.P, Fujitaka, S, Fujii, Y, Nihongi, H, Nakayama, S, Ho, M.W, Artz, M, Tong, K.T.A, Hytonen, R, Koponen, T, Niemela, P, Iancu, G, Lautenschlaeger, S, Eberle, F, Horst, F, Ringbaek, T, Engenhart-Cabillic, R, Kim, M.J, Hong, C.S, Kim, Y.B, Park, S.H, Kim, J.S, Reiterer, J, Steffal, C, Gora, J, Kann, T, Schratter-Sehn, A.U, Li, H, Chen, M, wu, R, Li, Y, zhang, X, Gautam, A, poenisch, F, sahoo, N, Zhu, R, Lin, M, Chang, J.T.C, Maeda, Y, Sato, Y, Shibata, S, Bou, S, Yamamoto, K, Sasaki, M, Fuwa, N, Takamatsu, S, Kume, K, Lim, F, Faller, F, Stiller, W, Ming, X, Hui, H, Mukawa, T, Takashi, Y, Stephenson, L, Pang, E.P.P, Paz, A.E, Yoshida, Y, Righetto, R, Vecchi, C, Alparone, A, De Spirito, M, Radhakrishnan, S, Chandrashekaran, A, Nandigam, J, Sarma, Y, Rechner, L, Munck af Rosenschöld, P, Bäck, A, Johansen, T.S, Schut, D.A, Aznar, M.C, Nyman, J, Ren, X, Rosas, S, Vanderstraeten, R, Jyske, T, Jari, L, Yuenan, W, Henthorn, N, Warmenhoven, J, Merchant, M, Kirkby, N, Ranald, M, Stefanowicz, S, Zschaeck, S, Troost, E.G.C, Stubington, E, Ehrgott, M, Nohadani, O, Shentall, G, Sun, T, yin, Y, Lin, X, Yoshimura, T, Matsuo, Y, Yamazaki, R, Takao, S, Miyamoto, N, Toussaint, L, Indelicato, D.J, Lassen-Ramshad, Y, Kirby, K, Mikkelsen, R, Di Pinto, M, Høyer, M, Stokkevåg, C.H, Van Herk, M, Shortall, J, Green, A, Vasquez Osorio, E, Mackay, R, Navratil, M, Andrlik, M, Chiang, Y.Y, Yeh, Y.H, Yeh, Y.J, Chang, T.C, Eaton, B, Yang, X, Esiashvili, N, Gu, W, Ruan, D, O’Connor, D, Zou, W, Tsai, M.Y, Jia, X, Sheng, K, Hyde, C, Chen, P.Y, Deraniyagala, R, Petoukhova, A, Klaassen, L, Habraken, S, Jacobs, J, Sattler, M, Verhoeven, K, Klaver, Y, Widesott, L, Fracchiolla, F, Algranati, C, Scifoni, E, Scartoni, D, Farace, P, Kröniger, K, Bauer, J, Nilsson, R, Chen, X, Liu, R, Sun, B, Mutic, S, Zhang, T, Zhao, T, Kajdrowicz, T, Wochnik, A, Swakoń, J, Małecki, K, Michalec, B, Moffitt, G, Wootton, L, Hardemark, B, Sandison, G, Emery, R, Stewart, R, Reidel, C.A, Finck, C, Deisher, A, Mahajan, A, Michael, H, Ahn, S.H, Kwang Hyeon, K, Chankyu, K, Youngmoon, G, Shinhaeng, C, Se Byeong, L, Young Kyung, L, Haksoo, K, Dongho, S, Jong Hwi, J, Ali, Y, Monini, C, Maigne, L, Alshaikhi, J, D’Souza, D, Amos, R. A, Baumann, K.S, Gomà, C, Flatten, V, Lautenschläger, S, Abdel-Rehim, A, Wan Chan Tseung, H.S, Ma, J, Kamal Syed, H, Boscolo, D, Krämer, M, Fuss, M, Braunroth, T, Rabus, H, Baek, W.Y, Brown, H, Alshammari, H, Brownstein, J, Giantsoudi, D, Wang, C.C, Grassberger, C, Chen, C, Chan, M.F, Mah, D, Hojo, Y, Xu, C, Elia, A, Fung, A, Nguyen, B.N, Oyervides, M, Koska, B, Kamal Sayed, H, Kim, C, Kim, Y.J, Lee, S.B, Goh, Y, Cho, S, Jeong, J.H, Kim, H, Lim, Y.K, Koh, W.Y.C, Lew, W.S, Lee, C.L.J, Kollitz, E, Han, H, Kim, C.H, Kroll, C, Riboldi, M, Newhauser, W, Dedes, G, Fuglsang Jensen, M, Nyström, U.H, Skyt, P.S, Hoffmann, L, Sloth Møller, D, Dokic, I, Kuo, S.H, Tai, P.L, Cheng, S.W, Chong, N.S, Yeom, Y.S, Kuzmin, G, Griffin, K, Langner, U, Jung, J.W, Lee, C, Lee, C.C, Hsu, W, Chao, T.C, Liamsuwan, T, Pischom, N, Tangboonduangjit, P, Suchada, T, Zheng, D, Rutenberg, M, Dhabaan, A, Harrabi, S, MARAFINI, M, Gioscio, E, Yunsheng, D, Alphonse, G, Rodriguez Lafrasse, C, Testa, É, Morris, B, Asavaphatiboon, S, DeBlois, D, Yam, M, Sękowski, P, Skwira-Chalot, I, Matulewicz, T, Flynn, R, Verbeek, N, Smyczek, S, Brualla, L, Lei, Y, Ghavidel, B, Curran, W, Beitler, J, Yu, H.W, Jeng, S.C, Tsai, Y.C, Chiou, J.F, Yusa, K, Dai, T, Yuan, P, Shafai-Erfani, G, Shu, H.K, Pepin, M, Tryggestad, E.J, Abdel Rehim, A, Johnson, J.E, Herman, M.G, Lee, S.C, Sheu, R.J, Ödén, J, Ramos-Mendez, J, Perl, J, Faddegon, B, Alaka, B.G, Bentefour, E.H, Samuel, D, Biradar, B, Frusti, P, Den Otter, L.A, Kurz, C, Stanislawski, M, Landry, G, Meijers, A, Knopf, A.C, Dickmann, J, Wesp, P, Rit, S, Johnson, R.P, Bashkirov, V, Schulte, R.W, Hoyle, B, Johnson, R, Schulte, R, Weller, J, Cotterill, J.V, Waltham, C, Allport, P.P, Taylor, M, Rogers, J, Evans, P.M, Allinson, N.M, Henry, T, Ardenfors, O, Gudowska, I, Poludniowski, G, Dasu, A, Lai, Y, Yuncheng, Z, Yiping, S, Mingwu, J, Xun, J, Yujie, C, Meric, I, Mattingly, J, Moustafa, A, Skjerdal, K, Moteabbed, M, Harisinghani, M, Efstathiou, J.A, Lu, H.M, Kabuki, S, Mizowaki, T, Ofierzynski, R, Paysan, P, Strzelecki, A, Lucca, R, Patch, S, Mustapha, B, Santiago-Gonzalez, D, Pettersen, H.E.S, Sølie, J, Levegrün, S, Pöttgen, C, Meyer, E, Collins-Fekete, C.A, Bashkirov, V.A, Wang, Y.M, Sung, K.C, Wang, C.J, Wu, H.Y, Winter, M, Bauer, U, Hansmann, T, Naumann, J, Peters, A, Pilz, K, Troost, E, Yan, S, Greenhalgh, J, Li, S, Bortfeld, T, Flanz, J, Ytre-Hauge, K, Zhang, L, Sharp, G.C, Cascio, E.W, Flanz, J.B, Tang, J, Zhu, J, Zhang, J, Uh, J, Sarosiek, C, Ricci, J, Coutrakon, G, Ozoemelam, I, van der Graaf, E.R, Maciej, K, Zhang, N, Brandenburg, S, Dendooven, P, Niepel, K, Yohannes, I, Dietrich, O, Ertl-Wagner, B, Pappas, E, Sølie, J.R, Odland, O.H, Ghesquiere-Dierickx, L.M.H, Felix Bautista, R, Gehrke, T, Jakubek, J, Turecek, D, Martisikova, M, Malekzadeh, E, Rajabi, H, Kalantari Mahmoudabadi, F, Meschini, G, d’Arenzo, D, Comini, D, Huynh, M.T, Paganelli, C, Fontana, G, Mancin, A, Preda, L, Su, Z, Henderson, R, Nichols, C, Bryant, C, Mendenhall, W, Boyer, B, Geerebaert, Y, Gevin, O, Koumeir, C, Magniette, F, Manigot, P, Poirier, F, Servagent, N, Thiebaux, C, Verderi, M, Chen, Y.R, Anderle, K, Jeraj, R, Chuter, R, Allan, I, Patel, I, MacKay, R, Harrison, K, Hoole, A, Thomas, S, Jena, R, Liao, Z, Zhu, R.X, Freeman, M, Espy, M, Aulwes, E, Magnelind, P, Merrill, F, Neukirch, L, Sidebottom, R, Tang, Z, Tupa, D, Wilde, C, Shusharina, N, Fullerton, B, Adams, J, Sharp, G, Chan, A, Dolde, K, Naumann, P, Dávid, C, Kachelrieß, M, Saito, N, Pfaffenberger, A, Wolf, M, Lis, M, Moreau, J, Buttion, M, Molitoris, J.K, Simone-, C.B, Regele, H, Bula, C, Danuser, S, Kang, M, Lin, H, Ribeiro, C. O, Dumont, D, Terpstra, J, Knopf, A, Wagenaar, D, Kierkels, R, van der Schaaf, A, Scandurra, D, Sijtsema, M, Korevaar, E, van den Hoek, A, O’Neil, M, Chung, H, Sala, I, Ramirez, H, Guerrero, T, Mondlane, G, Butkus, M.B, Stewart, R.D, Carlson, D.J, Ingram, S, Ytre-Hauge, K. Smeland, Rørvik, E, Perales, A, Carabe, A, Baratto-Roldan, A, Kimstrand, P, Cortes-Giraldo, M, Bertolet, A, Barato-Roldan, A, Baiocco, G, Barbieri, S, Mei, Z, Fan, K, Tang, K, Wang, J, Zhu, H, Sung, W, McNamara, A, Tran, L.T, Qi, Y, Xu, X, Pei, X, Chiang, Y, Chien-Hau, C, Chung-Chi, L, Chuan-Jong, T, Tsi-Chian, C, Wang, L, Cao, J, Wang, X, Lin, E, Minami, K, Kondo, R, Khoei, S, Shirvalilou, S, Khoee, S, Jamali Raoufi, N, Karimi, M.R, Shakeri-Zadeh, A, Patera, V, Rinaldi, I, Sas-Korczynska, B, Deng, W, Karagounis, I, Huynh, K, Maity, A, Abel, E, Santa Cruz, G, Monti Hughes, A, Herrera, M, Trivillin, V, Portu, A, Garabalino, M, Schwint, A, Gonzalez, S, Saint Martin, G, Santa Cruz, I, Tamari, Y, Watanabe, T, Masunaga, S.I, Wittig, A, Nigg, D, Stecher-Rasmussen, F, Moss, R, Igawa, K, Akita, K, Akabori, K, Hattori, K.J, Arima, H, Motoyama, K, Higashi, T, Trivillin, V.A, Pozzi, E.C.C, Thorp1, S.I, Curotto1, P, Garabalino1, M.A, Itoiz, M.E, Santa Cruz, I.S, Ramos, P.S, Palmieri, M.A, Schwint, A.E, Gadan, M.A, Thorp, S.I, Curotto, P, Portu, A.M, Thorp, S, Trivillin, V. A, Schwint, A. E, Fukuo, Y, Kanemitsu, T, Fukumura, M, Kosaka, T, Hiramatsu, R, Kuroiwa, T, Miyatake, S, Kawabata, S, Kirihata, M, Goldfinger, J.A, Garabalino, M.A, Pozzi, E.C, Ramos, P, De Leo, L.N, Yu, Q, Engelbrecht, M, Sioen, S, Miles, X, Nair, S, Ndimba, R, Baeyens, A, Vandevoorde, C, Buizza, G, Meng, J, Takai, N, Ogami, M, Nakamura, S, Ohba, Y, Liu, R.F, Zhang, Q.N, Wang, X.H, Luo, H.T, Kong, Y.R, Jansen, J, Tirinato, L, Marafioti, M.G, Hanley, R, Yao, X.Q, Pagliari, F, Huang, C.Y, Wong, W.K.R, Ho, Y.W, Nam, P.H, Koryakin, S.N, Troshina, M.V, Koryakina, E.V, Potetnya, V.I, Baykuzina, R.M, Lychagin, A.A, Ulyanenko, S.E, Molinelli, S, Giuseppe, M, Tran, L, Bolst, D, James, B, Steinsberger, T, Alliger, C, Dahle, T.J, Rusten, E, Wright, P, Forsback, S, Silvoniemi, A, Minn, H, Andersson, S, Buti, G, Barragán Montero, A.M, Vasquez-Osario, E, Sabouri, P, Nkenge, K, Yi, B, Burigo, L, Greilich, S, Thomas, R, Clark, C, Lourenco, A, Oancea, C, Granja, C, Kodaira, S, Coplan, M, Graybill, J, Lutz, L, Shahi, C, Su, J.J, Thompson, A, Romano, F, Shipley, D, Hong, T.S, Labarbe, R, Wolfgang, J.A, Meyer, S, Bortfeldt, J, Lämmer, P, Schnürle, K, Peters, N, Möhler, C, Hofmann, C, Koschik, A, Bryce-Atkinson, A, Van Nugteren, J, De Rijk, G, Kirby, G, Dutoit, B, Vignati, A, Ahmadi Ganjeh, Z, Fausti, F, Giordanengo, S, Hammad Ali, O, Sacchi, R, Shakarami, Z, Cirio, R, Inoue, J, Tachibana, M, Shimizu, Y, Ochi, T, Amano, D, Miyashita, T, Cooley, J, Nyamane, S, Zwart, T, Wagner, M, Lu, M, Rosenthal, S, Hashimoto, T, Katoh, N, Tamura, H, Emert, F, Missimer, J, Eichenberger, P, Gmuer, C, Spengler, C, Kamp, F, Hofmaier, J, Reiner, M, Belka, C, Van Ooteghem, G, Dasnoy-Sumell, D, Geets, X, Chen, C.C, Galbreath, G, Shmulenson, R, Pinheiro de Almeida, I, van Elmpt, W, Vilches Freixas, G, Unipan, M, Verhaegen, F, Bosmans, G, Garcia, G, Cevallos Robalino, L, Guzman-Garcia, K, Vega-Carrillo, H.R, Gomez-Ros, J.M, Gallego, E, Hintenlang, K, Martin, M, Gupta, N, Meissner, J, Smathers, J, Ainsley, C, Yin, L, Jagt, T, Breedveld, S, van Haveren, R, Nout, R, Astreinidou, E, Staring, M, Heijmen, B, Hoogeman, M, Stokes, W, Matter, M, Nenoff, L, Toramatsu, C, Wakizaka, H, Nitta, M, Nishikido, F, Hirano, Y, Yoshida, E, Miller, J, Maris, A, Kalle, R, Franco, G, Kierkels, R.G.J, van den Hoek, J.G.M, Bijl, H.P, Dieters, M, Steenbakkers, R.J.H.M, Dejongh, F, DeJongh, E, Rykalin, V, Karonis, N, Ordonez, C, Duffin, K, Winans, J, Neph, R, Sanchez-Parcerisa, D, Lopez-Aguirre, M, Dolcet Llerena, A, Udias, J, Oxley, D, Besson, R, Meier, G, Nanz, A, Schorta, M, Fleury, E, Trnková, P, Erdal, E, Hassan, K, Beenakker, J.W, Pignol, J.P, Matysiak, W, Tian, L, Zepter, S, Winterhalter, C, Shim, S, Gouldstone, C, Trnkova, P, Vatnitsky, S, Liu, K, Li, E, Zhuangming, S, Lowenstein, J, De Wilde, O, Bossier, V, Lerot, X, Pouppez, A, Xx, X, Verburg, J, Hueso-Gonzalez, F, Ruggieri, T, Amato, C, Ghesquiere-Dierickx, L, Felix-Bautista, R, Deville, C, Barsky, A, Vapiwala, N, Mohamad, O, Tabuchi, T, Nitta, Y, Nomoto, A, Kasuya, G, Choy, H, Miyashiro, I, Bush, D, Chuong, M, Kozarek, J, Rubens, M, Larson, G, Vargas, C, Hung, S.P, Hsieh, C.E, Huang, B.S, Tsang, N.M, Smith, N, Viehman, J, Harmsen, W, Elswick, S, Boughey, J, Harless, C, Jimenez, R, Hickey, S, DePauw, N, Ho, A, Taghian, A, MacDonald, S, Meek, A, Hedrick, S, Baliga, S, Gallotto, S, Lewy, J, Patteson, B, Speroni, S, Omsberg, A, Tarbell, N, Musolino, P, Yock, T, Indelicato, D, Rotondo, R, Mailhot, R, Uezono, H, Bradfield, S, Agarwal, V, Gillies, C, Gosling, A, Casares-Magaz, O, Eskildsen, S.F, Lassen, Y, Hasle, H, Tofting-Olesen, K, Alapetite, C, Puget, S, Nauraye, C, Beccaria, K, Bolle, S, Doz, F, Sainte-Rose, C, Bouffet, E, Zerah, M, Wu, J, Qiu, X, Hua, W, Mao, Y, Frakulli, R, Kramer, P.H, Glas, M, Blase, C, Tippelt, S, Konrath, L, Gruber, N, Schallerbauer-Peter, A, Mock, U, Niyazi, M, Niemierko, A, Schapira, E, Kim, V, Oh, K.S, Hwang, W.L, Busse, P.M, Loeffler, J.S, Shih, H.A, Appel, H, Tseng, Y.D, Tsai, H, Sinesi, C, Rossi, C, Badiyan, S, Kotecha, R, Pike, L, Horick, N, Yeap, B, Franck, K, Wang, I, Loeffler, J, McKenna, M, Shih, H, Kountouri, M, Kole, A.J, Murray, F.R, Kliebsch, U, Combescure, C, iannalfi, A, Riva, G, Dougherty, J, Kruse, J, Iott, M, Brown, P, Olivier, K, Brodin, P, Kabarriti, R, Schechter, C, Kalnicki, S, Garg, M, Tomé, W, Lu, J.J, Chen, P.J, Dhanireddy, B, Severo, C, Lee, C.H, Lin, C.R, Rosier, L, Mathis, T, DeLaney, T, Lin, S, O’Meara, E, Powell, T, Hong, T, Hall, D, Liu, A, Ntentas, G, Dedeckova, K, Darby, S, Cutter, D, Zapletalova, S, Chen, Y.L, Miao, R, Lee, H, Hsiao-Ming, L, Choy, E, Cote, G, Eulitz, J, Lutz, B, Enghardt, W, Lühr, A, Mcmahon, S, Prise, K, Sung Hyun, L, Tansho, R, Mizushima, K, Warmenhoven, J.W, Hufnagl, A, Friedrich, T, Deycmar, S, Gruber, S, Dörr, W, Pruschy, M, Waissi, W, Burckel, H, Nicol, A, Noel, G, Yousef, I, Koizumi, M, Santa Cruz, G.A, González, S.J, Longhino, J, Provenzano, L, Oña, P, Rao, M, Cantarelli, M.D.L.Á, Leiras, A, Olivera, M.S, Alessandrini, P, Brollo, F, Boggio, E, Costa, H, Ventimiglia, R, Binia, S, Nievas, S.I, Langle, Y, Eijan, A.M, Colombo, L.L, Kawai, K, Nakamura, H, Natsuko, K, Masaki, H, Nakada, M, Furuse, M, Miyatake, S.I, Koivunoro, H, Kankaanranta, L, González, S, Joensuu, H, Sokol, O, Hild, S, Wiedemann, J, Köthe, A, Perry, D, Batie, M, Mascia, A, Sertorio, M, Luhr, A, Suckert, T, Müller, J, Beyreuther, E, Gotz, M, Haase, R, Schürer, M, Tillner, F, von Neubeck, C, Davis, A, Sishc, B, Saha, J, Ding, L, Story, M, Wagner, S, Kim, S.Y, Geary, S, Woodruff, T, Xu, T, Meng, Q, Gilchrist, S, Perentesis, J.P, Zheng, Y, Wells, S.I, Kong, Y, Liu, Y, Geng, Y, Knoll, M, Schwager, C, Schlegel, J, Schnölzer, M, Ding, L.H, Aroumougame, A, Chen, B, Saha, D, Pompos, A, Carter, R, Nickson, C, Thomson, J, Hill, M, Rodrigues, D, Snider, J, Sharma, A, Zakhary, M, Kara, L, Vujaskovic, Z, Dykstra, M, Best, T, Keane, F, Khandekar, M, Fintelmann, F, Willers, H, Singh, P, Eley, J, Malyapa, R, Mahmood, J, Hårdemark, B, Sandison, G.A, Wootton, L.S, Miyoaka, R.S, Laramore, G.E, Yang, P, van der Weide, H, Maduro, J, Heesters, M, Gawryszuk, A, Davila-Fajardo, R, Langendijk, H, Eckhard, M, Maxwell, A, VanNamen, K, Cashin, M, Jacovic, A, Dunn, M, kim, T, Jung, J, Kim, J, Swerdloff, S, Saunders, A, Thomas, J, Kidani, T, Okada, A, Tomida, K, Pennington, H, Xiaoqiang, L, Weigang, H, An, Q, Di, Y, Craig, S, Inga, G, Peyman, K, Xuanfeng, D, Cunningham, C, de Kock, M, Slabbert, J, Panaino, C.M, Phoenix, B, Regan, P.H, Shearman, R, Collins, S.M, Taylor, M.J, Grayson, M, Kato, K, Choi, H, Jang, J.W, Shin, W.G, Min, C.H, McMahon, S, Padilla Cabal, F, Fragoso, J.A, Resch, A.F, Katsis, A, Girdhani, S, Marshall, A, Jackson, I, Bentzen, S, Parry, R, Gantz, S, Schellhammer, S, Hoffmann, A, Delorme, R, Dos Santos, M, Salmon, R, Öden, J, Bullivant, K, Rucksdashal, R, Ferret, E, Covington, F, Rice, S, Decesaris, C, Siddiqui, O, Kowalski, E, Samanta, S, and Rothwell, B
- Subjects
Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0642 ,Physics: Absolute and Relative DosimetryPTC58-0180 ,Biology: Biology and Clinical InterfacePTC58-0685 ,Physics: Commissioning New FacilitiesPTC58-0385 ,Physics: 4D Treatment and DeliveryPTC58-0546 ,Clinics: EyePTC58-0714 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0528 ,Physics: Quality Assurance and VerificationPTC58-0507 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0661 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0221 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0531 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0653 ,Biology: Drug and Immunotherapy CombinationsPTC58-0163 ,Clinics: Sarcoma - LymphomaPTC58-0055 ,Biology: Drug and Immunotherapy CombinationsPTC58-0166 ,Clinics: CNS / Skull BasePTC58-0198 ,Physics: Treatment PlanningPTC58-0421 ,Clinics: PediatricsPTC58-0560 ,General: New HorizonsPTC58-0709 ,Physics: Treatment PlanningPTC58-0664 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0286 ,Physics: Treatment PlanningPTC58-0666 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0346 ,Physics: Treatment PlanningPTC58-0547 ,Physics: Treatment PlanningPTC58-0308 ,Physics: Treatment PlanningPTC58-0549 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0111 ,Physics: Absolute and Relative DosimetryPTC58-0050 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0587 ,Biology: Biology and Clinical InterfacePTC58-0454 ,Physics: Absolute and Relative DosimetryPTC58-0052 ,Physics: Commissioning New FacilitiesPTC58-0395 ,Physics: 4D Treatment and DeliveryPTC58-0534 ,Physics: Dose Calculation and OptimisationPTC58-0072 ,Physics: 4D Treatment and DeliveryPTC58-0533 ,Physics: 4D Treatment and DeliveryPTC58-0538 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0113 ,Physics: Quality Assurance and VerificationPTC58-0633 ,Physics: Treatment PlanningPTC58-0431 ,Physics: Beam Delivery and Nozzle DesignPTC58-0230 ,Biology: Mathematical Modelling SimulationPTC58-0179 ,Clinics: Head and Neck / EyePTC58-0365 ,Physics: Treatment PlanningPTC58-0319 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0697 ,Biology: Biology and Clinical InterfacePTC58-0663 ,Physics: Commissioning New FacilitiesPTC58-0240 ,Physics: Adaptive TherapyPTC58-0177 ,Physics: Commissioning New FacilitiesPTC58-0363 ,Physics: Commissioning New FacilitiesPTC58-0487 ,Physics: 4D Treatment and DeliveryPTC58-0209 ,Physics: 4D Treatment and DeliveryPTC58-0206 ,Clinics: CNS / Skull BasePTC58-0294 ,Physics: Commissioning New FacilitiesPTC58-0127 ,Biology: Mathematical Modelling SimulationPTC58-0068 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0062 ,Physics: 4D Treatment and DeliveryPTC58-0692 ,Physics: Quality Assurance and VerificationPTC58-0723 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0494 ,Physics: Treatment PlanningPTC58-0643 ,Physics: Treatment PlanningPTC58-0521 ,Physics: Treatment PlanningPTC58-0402 ,Physics: Treatment PlanningPTC58-0405 ,Clinics: Head and Neck / EyePTC58-0273 ,Clinics: GIPTC58-0397 ,Physics: Treatment PlanningPTC58-0648 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0489 ,Physics: Quality Assurance and VerificationPTC58-0617 ,Physics: Quality Assurance and VerificationPTC58-0616 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0668 ,Clinics: CNS / Skull BasePTC58-0188 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0625 ,Physics: Treatment PlanningPTC58-0654 ,Physics: Treatment PlanningPTC58-0655 ,Biology: Drug and Immunotherapy Combinations Poster Discussion SessionsPTC58-0133 ,Clinics: PediatricsPTC58-0313 ,Physics: Treatment PlanningPTC58-0659 ,Poster AbstractsClinics: CNSPTC58-0290 ,Physics: Commissioning New FacilitiesPTC58-0064 ,Physics: Adaptive TherapyPTC58-0396 ,Physics: Dose Calculation and OptimisationPTC58-0281 ,Physics: Quality Assurance and VerificationPTC58-0427 ,Physics: Quality Assurance and VerificationPTC58-0669 ,General: New Horizons SessionPTC58-0191 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0217 ,Physics: Quality Assurance and VerificationPTC58-0303 ,Physics: Quality Assurance and VerificationPTC58-0665 ,Clinics: Sarcoma - LymphomaPTC58-0495 ,Physics: Dose Calculation and OptimisationPTC58-0398 ,Physics: Quality Assurance and VerificationPTC58-0667 ,Physics: Quality Assurance and VerificationPTC58-0425 ,Physics: Quality Assurance and VerificationPTC58-0541 ,Physics: Treatment PlanningPTC58-0584 ,Physics: Quality Assurance and VerificationPTC58-0540 ,Biology: Drug and Immunotherapy Combinations Poster Discussion SessionsPTC58-0163 ,Physics: Treatment PlanningPTC58-0224 ,Physics: Treatment PlanningPTC58-0229 ,Clinics: PediatricsPTC58-0249 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0555 ,Clinics: PediatricPTC58-0463 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0556 ,Physics: Absolute and Relative DosimetryPTC58-0498 ,Physics: Commissioning New FacilitiesPTC58-0078 ,Physics: Dose Calculation and OptimisationPTC58-0270 ,Physics: Dose Calculation and OptimisationPTC58-0032 ,Physics: Dose Calculation and OptimisationPTC58-0274 ,Physics: 4D Treatment and DeliveryPTC58-0614 ,Physics: Dose Calculation and OptimisationPTC58-0026 ,Clinics: Head and Neck / EyePTC58-0280 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0091 ,Physics: Treatment PlanningPTC58-0593 ,Biology: Drug and Immunotherapy CombinationsPTC58-0012 ,Physics: Dose Calculation and OptimisationPTC58-0025 ,Physics: Dose Calculation and OptimisationPTC58-0146 ,Clinics: Sarcoma - LymphomaPTC58-0261 ,Physics: Treatment PlanningPTC58-0110 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0733 ,Physics: Quality Assurance and VerificationPTC58-0554 ,Physics: Treatment PlanningPTC58-0597 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0330 ,Physics: Treatment PlanningPTC58-0115 ,Physics: Treatment PlanningPTC58-0598 ,Physics: Absolute and Relative DosimetryPTC58-0040 ,Physics: Absolute and Relative DosimetryPTC58-0282 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0399 ,Physics: Absolute and Relative DosimetryPTC58-0283 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0569 ,Clinics: GUPTC58-0647 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0506 ,Physics: Commissioning New FacilitiesPTC58-0047 ,Physics: Dose Calculation and OptimisationPTC58-0067 ,Clinics: GUPTC58-0409 ,Physics: Dose Calculation and OptimisationPTC58-0065 ,Biology: BNCT Poster Discussion SessionsPTC58-0586 ,Physics: Absolute and Relative Dosimetry PTC58-0393 ,Physics: Image GuidancePTC58-0712 ,Physics: Quality Assurance and VerificationPTC58-0645 ,Physics: Treatment PlanningPTC58-0683 ,Biology: BNCT Poster Discussion SessionsPTC58-0107 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0266 ,Physics: Monitoring and Modelling MotionPTC58-0530 ,Biology: BNCT Poster Discussion SessionsPTC58-0341 ,Physics: Commissioning New FacilitiesPTC58-0172 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0456 ,Physics: Dose Calculation and OptimisationPTC58-0170 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0458 ,Physics: Absolute and Relative DosimetryPTC58-0034 ,Physics: Quality Assurance and VerificationPTC58-0417 ,Physics: Quality Assurance and VerificationPTC58-0413 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0492 ,Physics: Dose Calculation and OptimisationPTC58-0168 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0724 ,Physics: Treatment PlanningPTC58-0694 ,Physics: Adaptive TherapyPTC58-0005 ,Physics: Treatment PlanningPTC58-0696 ,Physics: Treatment PlanningPTC58-0453 ,Physics: Adaptive TherapyPTC58-0366 ,Clinics: BreastPTC58-0197 ,Physics: Beam Delivery and Nozzle DesignPTC58-0652 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0017 ,Physics: Treatment PlanningPTC58-0338 ,Clinics: Head and Neck / EyePTC58-0539 ,General: New Horizons SessionPTC58-0390 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0651 ,General: New HorizonsPTC58-0660 ,Physics: Dose Calculation and OptimisationPTC58-0360 ,Physics: Image GuidancePTC58-0297 ,Physics: 4D Treatment and DeliveryPTC58-0147 ,Scientific: RTTPTC58-0388 ,Physics: Dose Calculation and OptimisationPTC58-0484 ,General: New HorizonsPTC58-0301 ,Physics: Dose Calculation and OptimisationPTC58-0485 ,General: New HorizonsPTC58-0304 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0532 ,Clinics: GIPTC58-0575 ,General: New HorizonsPTC58-0306 ,Physics: Quality Assurance and VerificationPTC58-0589 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0344 ,Physics: Quality Assurance and VerificationPTC58-0225 ,Physics: Treatment PlanningPTC58-0381 ,Physics: Quality Assurance and VerificationPTC58-0467 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0585 ,Physics: Commissioning New FacilitiesPTC58-0416 ,Physics: Quality Assurance and VerificationPTC58-0228 ,Physics: Quality Assurance and VerificationPTC58-0348 ,Physics: Dose Calculation and OptimisationPTC58-0234 ,Physics: Quality Assurance and VerificationPTC58-0101 ,Physics: Treatment PlanningPTC58-0386 ,Physics: Dose Calculation and OptimisationPTC58-0118 ,Physics: Treatment PlanningPTC58-0265 ,Physics: Dose Calculation and OptimisationPTC58-0119 ,Clinics: GIPTC58-0218 ,Physics: Treatment PlanningPTC58-0267 ,Physics: Treatment PlanningPTC58-0387 ,Clinics: BreastPTC58-0142 ,Physics: Treatment PlanningPTC58-0269 ,Physics: Beam Delivery and Nozzle DesignPTC58-0620 ,Clinics: PediatricsPTC58-0048 ,Physics: Quality Assurance and VerificationPTC58-0220 ,Physics: Quality Assurance and VerificationPTC58-0461 ,Physics: Treatment PlanningPTC58-0029 ,Physics: Absolute and Relative DosimetryPTC58-0571 ,Physics: Image GuidancePTC58-0046 ,Clinics: GUPTC58-0557 ,Physics: Absolute and Relative DosimetryPTC58-0211 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0131 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0373 ,General: New HorizonsPTC58-0411 ,Physics: Dose Calculation and OptimisationPTC58-0595 ,Clinics: CNS / Skull BasePTC58-0361 ,General: New HorizonsPTC58-0414 ,General: New HorizonsPTC58-0537 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0628 ,Physics: Treatment PlanningPTC58-0271 ,Physics: Commissioning New FacilitiesPTC58-0307 ,Physics: Quality Assurance and VerificationPTC58-0359 ,Physics: Quality Assurance and VerificationPTC58-0354 ,General: New HorizonsPTC58-0419 ,Physics: Treatment PlanningPTC58-0035 ,Biology: BNCTPTC58-0474 ,Clinics: GIPTC58-0460 ,Biology: BNCTPTC58-0596 ,Clinics: GIPTC58-0222 ,Physics: Image GuidancePTC58-0193 ,Clinics: PediatricPTC58-0312 ,Clinics: GUPTC58-0441 ,Clinics: LungPTC58-0701 ,Clinics: EyePTC58-0536 ,Clinics: GUPTC58-0205 ,Physics: Dose Calculation and OptimisationPTC58-0140 ,Clinics: GUPTC58-0208 ,Physics: Dose Calculation and OptimisationPTC58-0020 ,Physics: Image GuidancePTC58-0195 ,Poster AbstractsClinics: CNSPTC58-0717 ,Physics: Quality Assurance and VerificationPTC58-0325 ,Physics: Dose Calculation and OptimisationPTC58-0015 ,Physics: Commissioning New FacilitiesPTC58-0634 ,General: New HorizonsPTC58-0646 ,Physics: Quality Assurance and VerificationPTC58-0566 ,Physics: Dose Calculation and OptimisationPTC58-0134 ,Physics: Dose Calculation and OptimisationPTC58-0376 ,Biology: Mathematical Modelling SimulationPTC58-0462 ,Biology: BNCTPTC58-0567 ,General: New HorizonsPTC58-0527 ,Physics: Treatment PlanningPTC58-0482 ,Clinics: GI, GU, BreastPTC58-0693 ,Physics: Commissioning New FacilitiesPTC58-0518 ,Physics: Quality Assurance and VerificationPTC58-0686 ,Physics: Quality Assurance and VerificationPTC58-0202 ,Physics: Quality Assurance and VerificationPTC58-0322 ,Physics: Quality Assurance and VerificationPTC58-0564 ,Physics: Quality Assurance and VerificationPTC58-0680 ,Physics: Treatment PlanningPTC58-0247 ,Physics: Quality Assurance and VerificationPTC58-0682 ,Physics: Quality Assurance and VerificationPTC58-0440 ,Biology: Translational and BiomarkersPTC58-0514 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0178 ,Clinics: EyePTC58-0520 ,Physics: Absolute and Relative DosimetryPTC58-0231 ,Clinics: Head and Neck / EyePTC58-0424 ,Physics: Absolute and Relative DosimetryPTC58-0471 ,Physics: Absolute and Relative DosimetryPTC58-0356 ,Physics: Dose Calculation and OptimisationPTC58-0491 ,Physics: Dose Calculation and OptimisationPTC58-0250 ,Physics: Commissioning New FacilitiesPTC58-0650 ,Biology: Biology and Clinical InterfacePTC58-0719 ,Physics: Absolute and Relative DosimetryPTC58-0232 ,Physics: Absolute and Relative DosimetryPTC58-0353 ,General: New HorizonsPTC58-0511 ,Physics: Quality Assurance and VerificationPTC58-0219 ,Physics: Absolute and Relative DosimetryPTC58-0238 ,General: New HorizonsPTC58-0512 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0401 ,Clinics: PediatricPTC58-0688 ,Physics: Quality Assurance and VerificationPTC58-0457 ,Physics: Quality Assurance and VerificationPTC58-0214 ,Physics: Quality Assurance and VerificationPTC58-0459 ,General: New HorizonsPTC58-0516 ,Physics: Treatment PlanningPTC58-0372 ,Physics: Treatment PlanningPTC58-0011 ,Physics: Treatment PlanningPTC58-0254 ,Physics: Quality Assurance and VerificationPTC58-0332 ,Clinics: CNS / Skull BasePTC58-0468 ,Biology: Mathematical Modelling SimulationPTC58-0357 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0649 ,Physics: Dose Calculation and OptimisationPTC58-0006 ,Physics: Quality Assurance and VerificationPTC58-0212 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0565 ,Physics: Treatment PlanningPTC58-0018 ,Physics: Treatment PlanningPTC58-0019 ,Clinics: BreastPTC58-0576 ,Clinics: Head and Neck / EyePTC58-0335 ,Clinics: Head and Neck / EyePTC58-0577 ,General: New HorizonsPTC58-0621 ,Physics: Absolute and Relative DosimetryPTC58-0426 ,Physics: Commissioning New Facilities Poster Discussion SessionsPTC58-0268 ,Physics: Absolute and Relative DosimetryPTC58-0423 ,Physics: Treatment PlanningPTC58-0184 ,Physics: Quality Assurance and VerificationPTC58-0149 ,Clinics: GIPTC58-0378 ,Clinics: GIPTC58-0257 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0662 ,General: New HorizonsPTC58-0627 ,Physics: Treatment PlanningPTC58-0186 ,Physics: Treatment PlanningPTC58-0185 ,Physics: Quality Assurance and VerificationPTC58-0144 ,Biology: BNCT Poster Discussion SessionsPTC58-0602 ,Physics: Treatment PlanningPTC58-0189 ,Physics: Dose Calculation and OptimisationPTC58-0315 ,Clinics: Head and neckPTC58-0300 ,General: New Horizons SessionPTC58-0347 ,Physics: Image GuidancePTC58-0082 ,Clinics: BreastPTC58-0443 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0629 ,Physics: Adaptive Therapy Poster Discussion SessionsPTC58-0007 ,Physics: Commissioning New FacilitiesPTC58-0472 ,Clinics: GI, GU, BreastPTC58-0515 ,Physics: Dose Calculation and Optimisation Poster Discussion SessionsPTC58-0606 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0450 ,Physics: Absolute and Relative DosimetryPTC58-0657 ,Physics: Dose Calculation and OptimisationPTC58-0551 ,Physics: Treatment PlanningPTC58-0192 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0675 ,Physics: Treatment PlanningPTC58-0194 ,Physics: Dose Calculation and OptimisationPTC58-0544 ,Physics: Treatment PlanningPTC58-0199 ,Physics: Quality Assurance and VerificationPTC58-0037 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0207 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0434 ,Physics: Quality Assurance and VerificationPTC58-0036 ,Physics: Quality Assurance and VerificationPTC58-0278 ,Physics: Quality Assurance and VerificationPTC58-0394 ,Physics: Quality Assurance and VerificationPTC58-0151 ,Physics: Quality Assurance and VerificationPTC58-0154 ,Physics: Dose Calculation and OptimisationPTC58-0428 ,Clinics: BreastPTC58-0116 ,Biology: Enhanced Biology in Treatment Planning Poster Discussion SessionsPTC58-0435 ,Physics: Commissioning New FacilitiesPTC58-0681 ,Physics: Absolute and Relative DosimetryPTC58-0323 ,Physics: Dose Calculation and OptimisationPTC58-0583 ,Physics: Absolute and Relative DosimetryPTC58-0448 ,Clinics: CNS / Skull BasePTC58-0251 ,General: New HorizonsPTC58-0721 ,Physics: Absolute and Relative DosimetryPTC58-0203 ,Physics: Dose Calculation and OptimisationPTC58-0455 ,Physics: 4D Treatment and DeliveryPTC58-0130 ,Physics: Commissioning New FacilitiesPTC58-0679 ,Physics: Absolute and Relative DosimetryPTC58-0329 ,General: New HorizonsPTC58-0604 ,Physics: Absolute and Relative DosimetryPTC58-0449 ,Clinics: CNS / Skull BasePTC58-0132 ,General: New HorizonsPTC58-0607 ,Physics: Quality Assurance and VerificationPTC58-0122 ,Physics: Quality Assurance and VerificationPTC58-0243 ,Physics: Treatment PlanningPTC58-0165 ,Oral AbstractsPhysics: Dose Calculation and OptimisationPTC58-0437 ,Physics: 4D Treatment and DeliveryPTC58-0377 ,Physics: Quality Assurance and VerificationPTC58-0125 ,Physics: Quality Assurance and VerificationPTC58-0245 ,Physics: Dose Calculation and OptimisationPTC58-0337 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0334 ,Physics: Quality Assurance and VerificationPTC58-0121 ,General: New Horizons SessionPTC58-0563 ,General: New Horizons SessionPTC58-0321 ,Clinics: Head and Neck / EyePTC58-0477 ,Physics: Quality Assurance and VerificationPTC58-0480 ,Clinics: GUPTC58-0010 ,Clinics: EyePTC58-0684 ,Clinics: GUPTC58-0496 ,Clinics: Head and neckPTC58-0676 ,Clinics: GUPTC58-0137 ,Physics: Beam Delivery and Nozzle Design Poster Discussion SessionsPTC58-0256 ,Physics: 4D Treatment and DeliveryPTC58-0117 ,Physics: Absolute and Relative DosimetryPTC58-0552 ,Physics: Absolute and Relative DosimetryPTC58-0310 ,Physics: Absolute and Relative DosimetryPTC58-0672 ,Physics: Absolute and Relative DosimetryPTC58-0436 ,Physics: Dose Calculation and OptimisationPTC58-0452 ,Physics: Dose Calculation and OptimisationPTC58-0331 ,Physics: Commissioning New FacilitiesPTC58-0213 ,Biology: Mathematical Modelling SimulationPTC58-0272 ,Clinics: EyePTC58-0326 ,Physics: Commissioning New FacilitiesPTC58-0568 ,Physics: Dose Calculation and OptimisationPTC58-0444 ,Physics: Quality Assurance and VerificationPTC58-0379 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0095 ,Physics: Treatment PlanningPTC58-0053 ,Physics: Absolute and Relative DosimetryPTC58-0438 ,Physics: Absolute and Relative DosimetryPTC58-0317 ,Physics: Quality Assurance and VerificationPTC58-0497 ,Physics: Quality Assurance and VerificationPTC58-0375 ,Physics: Treatment PlanningPTC58-0056 ,Physics: 4D Treatment and DeliveryPTC58-0124 ,Clinics: GIPTC58-0009 ,Physics: Quality Assurance and VerificationPTC58-0014 ,Physics: Quality Assurance and VerificationPTC58-0374 ,Clinics: LungPTC58-0727 ,General: New Horizons SessionPTC58-0578 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0470 ,Clinics: LungPTC58-0204 ,Clinics: Head and neckPTC58-0227 ,Clinics: LungPTC58-0446 ,Physics: Quality Assurance and VerificationPTC58-0190 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0609 ,Clinics: LungPTC58-0689 ,General: New HorizonsPTC58-0021 ,General: New HorizonsPTC58-0262 ,Biology: BNCT Poster Discussion SessionsPTC58-0081 ,Clinics: GIPTC58-0726 ,General: New HorizonsPTC58-0145 ,Physics: Image GuidancePTC58-0573 ,General: New HorizonsPTC58-0027 ,General: New HorizonsPTC58-0028 ,Biology: Mathematical Modelling and SimulationPTC58-0148 ,Physics: Dose Calculation and OptimisationPTC58-0635 ,Physics: Image GuidancePTC58-0215 ,Physics: Image GuidancePTC58-0336 ,Poster AbstractsClinics: CNSPTC58-0535 ,Physics: Quality Assurance and VerificationPTC58-0187 ,Biology: BNCT Poster Discussion SessionsPTC58-0084 ,General: New Investigator SessionPTC58-0339 ,General: New Horizons SessionPTC58-0420 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0523 ,Biology: BNCT Poster Discussion SessionsPTC58-0088 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0112 ,Physics: Quality Assurance and VerificationPTC58-0182 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0615 ,Physics: Quality Assurance and VerificationPTC58-0080 ,Biology: BNCTPTC58-0085 ,Physics: Adaptive Therapy Poster Discussion SessionsPTC58-0722 ,General: New HorizonsPTC58-0253 ,General: New HorizonsPTC58-0255 ,Clinics: PediatricPTC58-0703 ,General: New HorizonsPTC58-0499 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0380 ,General: New HorizonsPTC58-0259 ,Clinics: GI, GU, BreastPTC58-0288 ,Clinics: GI, GU, BreastPTC58-0045 ,Physics: Absolute and Relative DosimetryPTC58-0619 ,Clinics: PediatricPTC58-0707 ,Physics: Quality Assurance and VerificationPTC58-0196 ,Physics: Quality Assurance and VerificationPTC58-0074 ,Physics: Quality Assurance and VerificationPTC58-0077 ,Biology: BNCT Poster Discussion SessionsPTC58-0073 ,Biology: BNCTPTC58-0075 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0093 ,Clinics: GUPTC58-0161 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0371 ,Physics: Monitoring and Modelling MotionPTC58-0181 ,General: New HorizonsPTC58-0120 ,General: New HorizonsPTC58-0362 ,General: New HorizonsPTC58-0364 ,Physics: Image GuidancePTC58-0473 ,Scientific: RTTPTC58-0641 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0296 ,General: New HorizonsPTC58-0004 ,General: New HorizonsPTC58-0128 ,Clinics: BreastPTC58-0316 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0236 ,General: New HorizonsPTC58-0008 ,General: New Investigator SessionPTC58-0673 ,Physics: Quality Assurance and VerificationPTC58-0167 ,Physics: Quality Assurance and VerificationPTC58-0289 ,Physics: Quality Assurance and VerificationPTC58-0284 ,General: New Horizons SessionPTC58-0522 ,Physics: Quality Assurance and VerificationPTC58-0164 ,Physics: Quality Assurance and VerificationPTC58-0285 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0623 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0502 ,Clinics: GUPTC58-0293 ,Biology: Translational and BiomarkersPTC58-0599 ,Biology: BNCTPTC58-0063 ,Clinics: LungPTC58-0656 ,General: New HorizonsPTC58-0592 ,Biology: BNCT Poster Discussion SessionsPTC58-0092 ,Poster AbstractsClinics: CNSPTC58-0302 ,Physics: Image GuidancePTC58-0464 ,General: New HorizonsPTC58-0352 ,Physics: Image GuidancePTC58-0465 ,General: New HorizonsPTC58-0476 ,Physics: Image GuidancePTC58-0100 ,General: New HorizonsPTC58-0235 ,Biology: Mathematical Modelling and SimulationPTC58-0349 ,Physics: Treatment PlanningPTC58-0094 ,Physics: 4D Treatment and Delivery Poster Discussion SessionsPTC58-0367 ,Physics: Dose Calculation and OptimisationPTC58-0400 ,Biology: Translational and BiomarkersPTC58-0244 ,Physics: Dose Calculation and OptimisationPTC58-0640 ,Biology: Mathematical Modelling and SimulationPTC58-0355 ,General: New Investigator SessionPTC58-0320 ,Physics: Quality Assurance and VerificationPTC58-0057 ,Physics: Quality Assurance and VerificationPTC58-0174 ,Physics: Quality Assurance and VerificationPTC58-0295 ,Physics: Dose Calculation and OptimisationPTC58-0529 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0123 ,Physics: Quality Assurance and VerificationPTC58-0171 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0049 ,Clinics: BreastPTC58-0731 ,General: New HorizonsPTC58-0223 ,General: New HorizonsPTC58-0102 ,General: New HorizonsPTC58-0466 ,Scientific: RTTPTC58-0503 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0389 ,General: New HorizonsPTC58-0108 ,General: New HorizonsPTC58-0109 ,Physics: Commissioning New FacilitiesPTC58-0736 ,Biology: Mathematical Modelling and SimulationPTC58-0343 ,Biology: Mathematical Modelling and SimulationPTC58-0342 ,Clinics: GI, GU, BreastPTC58-0237 ,Physics: Dose Calculation and OptimisationPTC58-0711 ,Biology: Mathematical Modelling and SimulationPTC58-0581 ,Clinics: GI, GU, BreastPTC58-0114 ,Clinics: Base of SkullPTC58-0730 ,Clinics: Head and neckPTC58-0383 ,Clinics: CNS / Skull BasePTC58-0559 ,Clinics: Base of SkullPTC58-0613 ,General: New HorizonsPTC58-0691 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0054 ,General: New HorizonsPTC58-0210 ,Clinics: BreastPTC58-0729 ,General: New HorizonsPTC58-0574 ,Clinics: GI, GU, BreastPTC58-0239 ,Scientific: RTTPTC58-0637 ,General: New HorizonsPTC58-0579 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0176 ,General: New HorizonsPTC58-0699 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0156 ,Biology: Mathematical Modelling and SimulationPTC58-0333 ,Biology: Translational and BiomarkersPTC58-0345 ,Physics: Image GuidancePTC58-0369 ,Physics: Commissioning New FacilitiesPTC58-0509 ,Biology: Mathematical Modelling SimulationPTC58-0658 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0051 ,General: New Investigator SessionPTC58-0548 ,Clinics: GI, GU, BreastPTC58-0241 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0412 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0024 ,Clinics: LungPTC58-0226 ,Biology: Biological Differences between Carbon, Proton and Photons Poster Discussion SessionsPTC58-0069 ,General: New HorizonsPTC58-0562 ,General: New HorizonsPTC58-0561 ,General: New HorizonsPTC58-0201 ,Biology: Mathematical Modelling and SimulationPTC58-0439 ,General: New HorizonsPTC58-0445 ,General: New HorizonsPTC58-0324 ,Physics: Image GuidancePTC58-0031 ,Biology: Mathematical Modelling and SimulationPTC58-0558 ,Physics: Image GuidancePTC58-0392 ,Biology: Mathematical Modelling and SimulationPTC58-0678 ,Physics: Beam Delivery and Nozzle DesignPTC58-0090 ,General: New Investigator SessionPTC58-0630 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0524 ,Physics: Commissioning New FacilitiesPTC58-0713 ,Clinics: GI, GU, BreastPTC58-0139 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0248 ,Clinics: CNS / Pediatrics / Lung Poster Discussion SessionsPTC58-0368 ,Biology: Enhanced Biology in Treatment PlanningPTC58-0519 ,General: New Horizons SessionPTC58-0720 ,Physics: Quality Assurance and VerificationPTC58-0083 ,General: New HorizonsPTC58-0311 ,General: New HorizonsPTC58-0674 ,General: New HorizonsPTC58-0553 ,Physics: Image GuidancePTC58-0023 ,Scientific: RTTPTC58-0612 ,General: New HorizonsPTC58-0677 ,Biology: Mathematical Modelling and SimulationPTC58-0545 ,Physics: Dose Calculation and OptimisationPTC58-0601 ,Physics: Dose Calculation and OptimisationPTC58-0725 ,Physics: Quality Assurance and VerificationPTC58-0098 ,Physics: Dose Calculation and OptimisationPTC58-0605 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0517 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0618 ,Physics: Monitoring and Modelling MotionPTC58-0481 ,Clinics: GI / Sarcoma Poster Discussion SessionsPTC58-0071 ,Physics: Adaptive TherapyPTC58-0351 ,Physics: 4D Treatment and DeliveryPTC58-0702 ,Physics: Image GuidancePTC58-0734 ,Physics: Image GuidancePTC58-0611 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0486 ,Physics: Absolute and Relative Dosimetry Poster Discussion SessionsPTC58-0442 ,Biology: Drug and Immunotherapy CombinationsPTC58-0327 ,Clinics: Head and Neck / EyePTC58-0096 ,Clinics: LungPTC58-0159 ,Physics: Treatment PlanningPTC58-0708 ,General: New HorizonsPTC58-0097 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0350 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0016 ,Physics: Adaptive TherapyPTC58-0104 ,Physics: Absolute and Relative Dosimetry Poster Discussion SessionsPTC58-0433 ,Physics: Image GuidancePTC58-0608 ,Biology: Translational and Biomarkers Poster Discussion SessionsPTC58-0610 ,Clinics: Head and neckPTC58-0058 ,Physics: Treatment PlanningPTC58-0715 ,Clinics: Head and neckPTC58-0298 ,Clinics: EyePTC58-0099 ,General: New HorizonsPTC58-0086 ,General: New HorizonsPTC58-0089 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0200 ,Poster AbstractsClinics: CNSPTC58-0157 ,Clinics: LungPTC58-0141 ,Clinics: LungPTC58-0260 ,Clinics: LungPTC58-0264 ,Physics: Image GuidancePTC58-0513 ,Physics: Image GuidancePTC58-0631 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0469 ,Biology: BNCT Poster Discussion SessionsPTC58-0384 ,Physics: Image GuidancePTC58-0639 ,Clinics: PediatricsPTC58-0700 ,Clinics: LungPTC58-0136 ,Clinics: BreastPTC58-0706 ,General: New HorizonsPTC58-0079 ,Biology: Drug and Immunotherapy Combinations Poster Discussion SessionsPTC58-0406 ,Clinics: Base of SkullPTC58-0382 ,Physics: Image GuidancePTC58-0624 ,Physics: Beam Delivery and Nozzle DesignPTC58-0173 ,Biology: Drug and Immunotherapy CombinationsPTC58-0358 ,Poster AbstractsClinics: CNSPTC58-0690 ,General: New HorizonsPTC58-0061 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0580 ,Physics: Monitoring and Modelling MotionPTC58-0162 ,Physics: Adaptive TherapyPTC58-0550 ,Physics: Adaptive TherapyPTC58-0430 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0103 ,General: New Investigator SessionPTC58-0252 ,Physics: Quality Assurance and VerificationPTC58-0704 ,Physics: Image GuidancePTC58-0418 ,Clinics: Base of SkullPTC58-0572 ,Clinics: Lung / Sarcoma / LymphomaPTC58-0106 ,Physics: Beam Delivery and Nozzle DesignPTC58-0022 ,Physics: Monitoring and Modelling MotionPTC58-0279 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0447 ,Physics: Treatment PlanningPTC58-0622 ,Clinics: PediatricsPTC58-0644 ,Biology: Biology and Clinical InterfacePTC58-0490 ,Clinics: CNS / Skull BasePTC58-0716 ,General: New HorizonsPTC58-0292 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0570 ,General: New HorizonsPTC58-0059 ,Physics: Quality Assurance and VerificationPTC58-0710 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0216 ,Physics: Image GuidancePTC58-0404 ,Physics: Image GuidancePTC58-0525 ,Physics: Image GuidancePTC58-0526 ,Poster AbstractsClinics: CNSPTC58-0328 ,Clinics: LungPTC58-0070 ,Clinics: Eye / Breast / Pelvis Poster Discussion SessionsPTC58-0135 ,Biology: BNCT Poster Discussion SessionsPTC58-0391 ,Physics: Treatment PlanningPTC58-0510 ,Physics: Treatment PlanningPTC58-0636 ,Physics: Treatment PlanningPTC58-0638 ,Physics: Image GuidancePTC58-0408 ,Physics: Absolute and Relative Dosimetry Poster Discussion SessionsPTC58-0632 ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0318 ,Biology: Enhanced Biology in Treatment PlanningPTC58-0246 ,Clinics: PediatricsPTC58-0504 ,General: New HorizonsPTC58-0160 ,Physics: Image Guidance Poster Discussion SessionsPTC58-0076 ,Physics: Monitoring and Modelling MotionPTC58-0143 ,Biology: Mathematical Modelling and SimulationPTC58-0718 ,Physics: Image GuidancePTC58-0671 ,Clinics: LungPTC58-0183 ,Physics: Image GuidancePTC58-0670 ,Report ,Physics: Treatment Planning Poster Discussion SessionsPTC58-0422 ,Biology: Biological Differences between Carbon / Proton and Photons Carbons / Proton and PhotonPTC58-0129 ,Physics: Adaptive Therapy Poster Discussion SessionsPTC58-0705 ,Biology: Enhanced Biology in Treatment PlanningPTC58-0258 ,General: New HorizonsPTC58-0030 ,General: New HorizonsPTC58-0150 ,Biology: Biology and Clinical InterfacePTC58-0479 ,General: New HorizonsPTC58-0153 ,Clinics: PediatricPTC58-0087 ,General: New HorizonsPTC58-0152 ,General: New HorizonsPTC58-0155 ,General: New HorizonsPTC58-0033 ,General: New HorizonsPTC58-0158 ,Physics: Image GuidancePTC58-0429 ,Biology: Translational and BiomarkersPTC58-0287 ,Physics: Adaptive TherapyPTC58-0403 ,Physics: Image GuidancePTC58-0309 - Published
- 2020
7. Evaluation of digital breast tomosynthesis (DBT) in an Australian BreastScreen assessment service
- Author
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Lockie, D, Nickson, C, and Z, Aitken
- Published
- 2014
8. CN3 It's All in the Family: Microsimulation Modelling of Genetic Testing
- Author
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Petelin, L., primary, Cunich, M., additional, Procopio, P., additional, Nickson, C., additional, Campbell, I., additional, and Trainer, A.H., additional
- Published
- 2021
- Full Text
- View/download PDF
9. Breast cancer screening and overdiagnosis
- Author
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Bulliard, J-L, Beau, A-B, Njor, S, Wu, WY-Y, Procopio, P, Nickson, C, Lynge, E, Bulliard, J-L, Beau, A-B, Njor, S, Wu, WY-Y, Procopio, P, Nickson, C, and Lynge, E
- Abstract
Overdiagnosis is a harmful consequence of screening which is particularly challenging to estimate. An unbiased setting to measure overdiagnosis in breast cancer screening requires comparative data from a screened and an unscreened cohort for at least 30 years. Such randomised data will not become available, leaving us with observational data over shorter time periods and outcomes of modelling. This collaborative effort of the International Cancer Screening Network quantified the variation in estimated breast cancer overdiagnosis in organised programmes with evaluation of both observed and simulated data, and presented examples of how modelling can provide additional insights. Reliable observational data, analysed with study design accounting for methodological pitfalls, and modelling studies with different approaches, indicate that overdiagnosis accounts for less than 10% of invasive breast cancer cases in a screening target population of women aged 50 to 69. Estimates above this level are likely to derive from inaccuracies in study design. The widely discrepant estimates of overdiagnosis reported from observational data could substantially be reduced by use of a cohort study design with at least 10 years of follow-up after screening stops. In contexts where concomitant opportunistic screening or gradual implementation of screening occurs, and data on valid comparison groups are not readily available, modelling of screening intervention becomes an advantageous option to obtain reliable estimates of breast cancer overdiagnosis.
- Published
- 2021
10. The impact of the Covid-19 pandemic on breast cancer early detection and screening
- Author
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Figueroa, JD, Gray, E, Pashayan, N, Deandrea, S, Karch, A, Vale, DB, Elder, K, Procopio, P, Ravesteyn, NTV, Mutabi, M, Canfell, K, Nickson, C, Figueroa, JD, Gray, E, Pashayan, N, Deandrea, S, Karch, A, Vale, DB, Elder, K, Procopio, P, Ravesteyn, NTV, Mutabi, M, Canfell, K, and Nickson, C
- Abstract
The COVID-19 pandemic affects mortality and morbidity, with disruptions expected to continue for some time, with access to timely cancer-related services a concern. For breast cancer, early detection and treatment is key to improved survival and longer-term quality of life. Health services generally have been strained and in many settings with population breast mammography screening, efforts to diagnose and treat breast cancers earlier have been paused or have had reduced capacity. The resulting delays to diagnosis and treatment may lead to more intensive treatment requirements and, potentially, increased mortality. Modelled evaluations can support responses to the pandemic by estimating short- and long-term outcomes for various scenarios. Multiple calibrated and validated models exist for breast cancer screening, and some have been applied in 2020 to estimate the impact of breast screening disruptions and compare options for recovery, in a range of international settings. On behalf of the Covid and Cancer Modelling Consortium (CCGMC) Working Group 2 (Breast Cancer), we summarize and provide examples of such in a range of settings internationally, and propose priorities for future modelling exercises. International expert collaborations from the CCGMC Working Group 2 (Breast Cancer) will conduct analyses and modelling studies needed to inform key stakeholders recovery efforts in order to mitigate the impact of the pandemic on early diagnosis and treatment of breast cancer.
- Published
- 2021
11. The aerosol box for intubation in coronavirus disease 2019 patients: an in‐situ simulation crossover study
- Author
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Begley, J. L., primary, Lavery, K. E., additional, Nickson, C. P., additional, and Brewster, D. J., additional
- Published
- 2020
- Full Text
- View/download PDF
12. Social media for rapid knowledge dissemination: early experience from the COVID ‐19 pandemic
- Author
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Chan, A. K. M., primary, Nickson, C. P., additional, Rudolph, J. W., additional, Lee, A., additional, and Joynt, G. M., additional
- Published
- 2020
- Full Text
- View/download PDF
13. Invasive breast cancers detected by screening mammography: A detailed comparison of computer-aided detection-assisted single reading and double reading
- Author
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Cawson, J N, Nickson, C, Amos, A, Hill, G, Whan, A B, and Kavanagh, A M
- Published
- 2009
- Full Text
- View/download PDF
14. How has COVID-19 impacted cancer screening? Adaptation of services and the future outlook in Australia
- Author
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Feletto, E, Grogan, P, Nickson, C, Smith, M, Canfell, K, Feletto, E, Grogan, P, Nickson, C, Smith, M, and Canfell, K
- Abstract
The coronavirus disease 2019 (COVID-19) pandemic has caused major disruptions to many aspects of life in Australia and globally. This includes actual and potential future impacts on Australia's three national screening programs for breast, bowel and cervical cancer. These programs aim to improve cancer outcomes through an organised approach to the early detection of cancer and precancer in asymptomatic populations. The design of each program varies according to biological differences in the three cancers, the available screening technology, the target population, and variations in their administration of Australia's federal, state and territory jurisdictions. The observed and potential impacts of COVID-19 on these programs, and on related activities such as the current national enquiry into lung cancer screening feasibility, therefore vary significantly. This article focuses on observed short-term impacts, adaptations and the longer-term outlook for cancer screening in relation to COVID-19. It summarises potential responses to minimise the harms of disruptions caused by COVID-19, and highlights research and policy opportunities in the pandemic response and recovery which could inform and accelerate optimisation of cancer screening in the long term.
- Published
- 2020
15. The financial impact of a breast cancer detected within and outside of screening: lessons from the Australian Lifepool cohort
- Author
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Saxby, K, Nickson, C, Mann, GB, Velentzis, L, Bromley, HL, Procopio, P, Canfell, K, Petrie, D, Saxby, K, Nickson, C, Mann, GB, Velentzis, L, Bromley, HL, Procopio, P, Canfell, K, and Petrie, D
- Abstract
OBJECTIVE: To determine the government and out-of-pocket community costs (out-of-hospital medical services and prescription medicines) associated with screen-detected and community-detected cancers (i.e. cancers detected outside of Australia's organised screening program [BreastScreen]). METHODS: We analyse administrative data on government-subsidised medical services and prescription medicines for 568 Victorian women diagnosed with breast cancer or ductal carcinoma in situ (DCIS). Using multivariable regression analysis, we estimate the government and out-of-pocket community costs incurred in the three years after diagnosis for screen-detected cancers and community-detected cancers. Additionally, we estimate the government costs associated with diagnosis within and outside of BreastScreen. RESULTS: Average government costs for breast cancer diagnosis were similar within and outside of BreastScreen [$808 (lower limit 676; upper limit 940) vs $837 (95%CI 671; 1,003) respectively]; however, women with community-detected cancers incurred an additional $254 (95%CI 175; 332) out-of-pocket. Controlling for differences in known cancer characteristics, compared to screen-detected cancers, community-detected breast cancers were associated with an additional $2,622 (95%CI 644; 4,776) in government expenditure in the three years following diagnosis. Adverse cancer characteristics that were more prevalent in community-detected cancers (high grade, lymph node involvement, HER2 positive receptor status) were associated with increased government and out-of-pocket costs. CONCLUSIONS: Community-detected breast cancers were associated with increased government and out-of-pocket costs. Implications for public health: These costs should be considered when evaluating current and alternative breast cancer screening strategies.
- Published
- 2020
16. The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density
- Author
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Cheasley, D, Devereux, L, Hughes, S, Nickson, C, Procopio, P, Lee, G, Li, N, Pridmore, V, Elder, K, Mann, GB, Kader, T, Rowley, SM, Fox, SB, Byrne, D, Saunders, H, Fujihara, KM, Lim, B, Gorringe, KL, Campbell, IG, Cheasley, D, Devereux, L, Hughes, S, Nickson, C, Procopio, P, Lee, G, Li, N, Pridmore, V, Elder, K, Mann, GB, Kader, T, Rowley, SM, Fox, SB, Byrne, D, Saunders, H, Fujihara, KM, Lim, B, Gorringe, KL, and Campbell, IG
- Abstract
Mammographic density (MD) influences breast cancer risk, but how this is mediated is unknown. Molecular differences between breast cancers arising in the context of the lowest and highest quintiles of mammographic density may identify the mechanism through which MD drives breast cancer development. Women diagnosed with invasive or in situ breast cancer where MD measurement was also available (n = 842) were identified from the Lifepool cohort of >54,000 women participating in population-based mammographic screening. This group included 142 carcinomas in the lowest quintile of MD and 119 carcinomas in the highest quintile. Clinico-pathological and family history information were recorded. Tumor DNA was collected where available (n = 56) and sequenced for breast cancer predisposition and driver gene mutations, including copy number alterations. Compared to carcinomas from low-MD breasts, those from high-MD breasts were significantly associated with a younger age at diagnosis and features associated with poor prognosis. Low- and high-MD carcinomas matched for grade, histological subtype, and hormone receptor status were compared for somatic genetic features. Low-MD carcinomas had a significantly increased frequency of TP53 mutations, higher homologous recombination deficiency, higher fraction of the genome altered, and more copy number gains on chromosome 1q and losses on 17p. While high-MD carcinomas showed enrichment of tumor-infiltrating lymphocytes in the stroma. The data demonstrate that when tumors were matched for confounding clinico-pathological features, a proportion in the lowest quintile of MD appear biologically distinct, reflective of microenvironment differences between the lowest and highest quintiles of MD.
- Published
- 2020
17. 105 (PB-105) Poster - Contrast enhanced mammography in further assessment of screen-detected breast cancer
- Author
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Maccallum, C., Mann, G.B., Rose, A., Nickson, C., and Ruecker, K.
- Published
- 2022
- Full Text
- View/download PDF
18. 20 (PB-020) Poster Spotlight - Contrast Enhanced Mammography in Breast Cancer Surveillance
- Author
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Elder, K., Matheson, J., Nickson, C., Box, G., Ellis, J., Mou, A., Shadbolt, C., Park, A., Tay, J., Rose, A., and Mann, G.B.
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- 2022
- Full Text
- View/download PDF
19. Journal article Treatment Intensity Differences According to Participation in a Population Screening Program
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Mann G, Nickson C, and Elder K
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Cancer Type - Breast Cancer - Published
- 2019
20. Characteristics of Mammographic Breast Density and Associated Factors for Chinese Women: Results from an Automated Measurement
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Li T, Tang L, Gandomkar Z, Heard R, Mello-Thoms C, Xiao Q, Gu Y, Di G, Nickson C, Shao Z, and Brennan P
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Cancer Type - Breast Cancer - Abstract
Background. Characteristics of mammographic density for Chinese women are understudied. This study aims to identify factors associated with mammographic density in China using a quantitative method. Methods. Mammographic density was measured for a total of 1071 (84 with and 987 without breast cancer) women using an automatic algorithm AutoDensity. Pearson tests examined relationships between density and continuous variables and t-tests compared differences of mean density values between groupings of categorical variables. Linear models were built using multiple regression. Results. Percentage density and dense area were positively associated with each other for cancer-free (r=0.487, p
- Published
- 2019
21. Valuing the health states associated with breast cancer screening programmes: A systematic review of economic measures
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Bromley HL, Petrie D, Mann GB, Nickson C, Rea D, and Roberts TE
- Subjects
Cancer Type - Breast Cancer - Abstract
Policy decisions regarding breast cancer screening and treatment programmes may be misplaced unless the decision process includes the appropriate utilities and disutilities of mammography screening and its sequelae. The objectives of this study were to critically review how economic evaluations have valued the health states associated with breast cancer screening, and appraise the primary evidence informing health state utility values (cardinal measures of quality of life). A systematic review was conducted up to September 2018 of studies that elicited or used utilities relevant to mammography screening. The methods used to elicit utilities and the quality of the reported values were tabulated and analysed narratively. 40 economic evaluations of breast cancer screening programmes and 10 primary studies measuring utilities for health states associated with mammography were reviewed in full. The economic evaluations made different assumptions about the measures used, duration applied and the sequalae included in each health state. 22 evaluations referenced utilities based on assumptions or used measures that were not methodologically appropriate. There was significant heterogeneity in the utilities generated by the 10 primary studies, including the methods and population used to derive them. No study asked women to explicitly consider the risk of overdiagnosis when valuing the health states described. Utilities informing breast screening policy are restricted in their ability to reflect the full benefits and harms. Evaluating the true cost-effectiveness of breast cancer screening will remain problematic, unless the methodological challenges associated with valuing the disutilities of screening are adequately addressed.
- Published
- 2019
22. A Simulation Model to Assess Targeted Breast Cancer Screening Intervals
- Author
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Nickson, C
- Published
- 2006
23. Characteristics of Mammographic Breast Density and Associated Factors for Chinese Women: Results from an Automated Measurement
- Author
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Li, T, Tang, L, Gandomkar, Z, Heard, R, Mello-Thoms, C, Xiao, Q, Gu, Y, Di, G, Nickson, C, Shao, Z, Brennan, P, Li, T, Tang, L, Gandomkar, Z, Heard, R, Mello-Thoms, C, Xiao, Q, Gu, Y, Di, G, Nickson, C, Shao, Z, and Brennan, P
- Abstract
BACKGROUND: Characteristics of mammographic density for Chinese women are understudied. This study aims to identify factors associated with mammographic density in China using a quantitative method. METHODS: Mammographic density was measured for a total of 1071 (84 with and 987 without breast cancer) women using an automatic algorithm AutoDensity. Pearson tests examined relationships between density and continuous variables and t-tests compared differences of mean density values between groupings of categorical variables. Linear models were built using multiple regression. RESULTS: Percentage density and dense area were positively associated with each other for cancer-free (r=0.487, p<0.001) and cancer groups (r=0.446, p<0.001), respectively. For women without breast cancer, weight and BMI (p<0.001) were found to be negatively associated (r=-0.237, r=-0.272) with percentage density whereas they were found to be positively associated (r=0.110, r=0.099) with dense area; age at mammography was found to be associated with percentage density (r=-0.202, p<0.001) and dense area (r=-0.086, p<0.001) but did not add any prediction within multivariate models; lower percentage density was found within women with secondary education background or below compared to women with tertiary education. For women with breast cancer, percentage density demonstrated similar relationships with that of cancer-free women whilst breast area was the only factor associated with dense area (r=0.739, p<0.001). CONCLUSION: This is the first time that mammographic density was measured by a quantitative method for women in China and identified associations should be useful to health policy makers who are responsible for introducing effective models of breast cancer prevention and diagnosis.
- Published
- 2019
24. Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer risk
- Author
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Dench, E, Bond-Smith, D, Darcey, E, Lee, G, Aung, YK, Chan, A, Cuzick, J, Ding, ZY, Evans, CF, Harvey, J, Highnam, R, Hsieh, M-K, Kontos, D, Li, S, Mariapun, S, Nickson, C, Nguyen, TL, Pertuz, S, Procopio, P, Rajaram, N, Repich, K, Tan, M, Teo, S-H, Trinh, NH, Ursin, G, Wang, C, dos-Santos-Silva, I, McCormack, V, Nielsen, M, Shepherd, J, Hopper, JL, Stone, J, Dench, E, Bond-Smith, D, Darcey, E, Lee, G, Aung, YK, Chan, A, Cuzick, J, Ding, ZY, Evans, CF, Harvey, J, Highnam, R, Hsieh, M-K, Kontos, D, Li, S, Mariapun, S, Nickson, C, Nguyen, TL, Pertuz, S, Procopio, P, Rajaram, N, Repich, K, Tan, M, Teo, S-H, Trinh, NH, Ursin, G, Wang, C, dos-Santos-Silva, I, McCormack, V, Nielsen, M, Shepherd, J, Hopper, JL, and Stone, J
- Abstract
INTRODUCTION: For women of the same age and body mass index, increased mammographic density is one of the strongest predictors of breast cancer risk. There are multiple methods of measuring mammographic density and other features in a mammogram that could potentially be used in a screening setting to identify and target women at high risk of developing breast cancer. However, it is unclear which measurement method provides the strongest predictor of breast cancer risk. METHODS AND ANALYSIS: The measurement challenge has been established as an international resource to offer a common set of anonymised mammogram images for measurement and analysis. To date, full field digital mammogram images and core data from 1650 cases and 1929 controls from five countries have been collated. The measurement challenge is an ongoing collaboration and we are continuing to expand the resource to include additional image sets across different populations (from contributors) and to compare additional measurement methods (by challengers). The intended use of the measurement challenge resource is for refinement and validation of new and existing mammographic measurement methods. The measurement challenge resource provides a standardised dataset of mammographic images and core data that enables investigators to directly compare methods of measuring mammographic density or other mammographic features in case/control sets of both raw and processed images, for the purposes of the comparing their predictions of breast cancer risk. ETHICS AND DISSEMINATION: Challengers and contributors are required to enter a Research Collaboration Agreement with the University of Melbourne prior to participation in the measurement challenge. The Challenge database of collated data and images are stored in a secure data repository at the University of Melbourne. Ethics approval for the measurement challenge is held at University of Melbourne (HREC ID 0931343.3).
- Published
- 2019
25. Molecular comparison of interval and screen-detected breast cancers
- Author
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Cheasley, D, Li, N, Rowley, SM, Elder, K, Mann, GB, Loi, S, Savas, P, Goode, DL, Kader, T, Zethoven, M, Semple, T, Fox, SB, Pang, J-M, Byrne, D, Devereux, L, Nickson, C, Procopio, P, Lee, G, Hughes, S, Saunders, H, Fujihara, KM, Kuykhoven, K, Connaughton, J, James, PA, Gorringe, KL, Campbell, IG, Cheasley, D, Li, N, Rowley, SM, Elder, K, Mann, GB, Loi, S, Savas, P, Goode, DL, Kader, T, Zethoven, M, Semple, T, Fox, SB, Pang, J-M, Byrne, D, Devereux, L, Nickson, C, Procopio, P, Lee, G, Hughes, S, Saunders, H, Fujihara, KM, Kuykhoven, K, Connaughton, J, James, PA, Gorringe, KL, and Campbell, IG
- Published
- 2019
26. Uptake of adjuvant breast cancer treatments recommended by multi-disciplinary meetings
- Author
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Pattanasri M, Elder K, Nickson C, Cooke S, Machalek D, Rose A, Mou A, Collins JP, Park A, De Boer R, Phillips C, Pridmore V, Farrugia H, and Mann G
- Subjects
Treatment - Resources and Infrastructure ,Cancer Type - Breast Cancer - Abstract
Background Adjuvant therapy for breast cancer is routinely discussed and recommended in multi‐disciplinary meetings (MDMs). Current literature explores how treatments received by patients differ from national guidelines; however, it does not explore whether treatment is concordant with MDMs. This study provides an Australian perspective on the uptake of MDM recommendations and reasons for non‐concordance. Methods A retrospective cohort study of patients with breast cancer presented at The Royal Melbourne Hospital MDM in 2010 and 2014 to investigate the concordance between MDM recommendations and treatment received. Results The study group comprised 441 patients (161 from 2010 and 280 from 2014). A total of 375 patients were included in the analyses. Overall, 82% of patients had perfect concordance between recommended and received treatment for all modes of adjuvant therapy. Concordance to endocrine therapy was higher for invasive cancers than ductal carcinoma in situ (97% versus 81%, P < 0.0001). Concordance to radiotherapy was high and did not differ according to type of cancer or surgery (ranging from 88 to 91%). Concordance to chemotherapy recommendations was high overall (92%) and did not vary with nodal status. Women aged over 65 years were least likely to be recommended for adjuvant therapy but most likely to concordant with the recommendation. Conclusions Uptake of MDM‐recommended treatments is high. There is a minority of patients in whom MDM recommendations are not followed, highlighting that there are extra steps between recommendations at an MDM and decisions with patients. More attention to this issue is appropriate, and the reasons for non‐concordance warrant further study.
- Published
- 2018
27. Complex DNA damage induced by high-LET a-particles and protons triggers a specific cellular DNA damage response
- Author
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Carter, R, Nickson, C, Thompson, J, Kacperek, A, Hill, M, and Parsons, J
- Abstract
Purpose Complex DNA damage (CDD), where two or more DNA lesions are induced in close proximity, is a signature of ionising radiation (IR) that contributes significantly to cell killing due to the difficult nature of its repair. However the precise mechanism of recognition and processing of CDD in cellular DNA, where the DNA is wrapped around histone proteins to form chromatin, is currently unknown. Methods and Materials HeLa and oropharyngeal squamous cell carcinoma (UMSCC74A and UMSCC6) cells were irradiated with high linear energy transfer (LET) -particles or protons, versus low-LET protons and x-rays. At various time points post-irradiation, site-specific histone post-translational modifications (PTMs) were analysed by quantitative Western blotting, DNA damage and repair was measured by different versions of the comet assay, and cell survival was determined using clonogenic assays. Results Site-specific histone PTMs following low and high LET radiation, particularly proton irradiation, were screened aiming to identify those responsive to CDD. We demonstrate that histone H2B ubiquitylated on lysine 120 (H2Bub) is specifically induced several hours post-irradiation in response to high-LET α-particles and protons, but not by low-LET protons or x-rays. This is associated with increased levels of CDD and which contributes to decreased cell survival. We further discovered that modulation of H2Bub is under the control of two E3 ubiquitin ligases, MSL2 and RNF20/RNF40 complex, whose depletion leads to defective processing and further persistence of CDD, and to additional decreased cell survival post-irradiation. Conclusion This study demonstrates that the signalling and repair of CDD, particularly induced by high-LET IR is co-ordinated through the specific induction of H2Bub catalysed by MSL2 and RNF20/40, a mechanism which contributes significantly to cell survival post-irradiation.
- Published
- 2017
28. Treatment Intensity Differences According to Participation in a Population Screening Program
- Author
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Mann, G. B., primary, Nickson, C., additional, and Elder, K., additional
- Published
- 2018
- Full Text
- View/download PDF
29. Active Monitoring Versus Immediate Treatment of Women With Localised, Low-Risk Ductal Carcinoma In Situ: Does It Make Economic Sense?
- Author
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Bromley, H.L., primary, Roberts, T.E., additional, Petrie, D., additional, Mann, B.G., additional, Rea, D., additional, and Nickson, C., additional
- Published
- 2018
- Full Text
- View/download PDF
30. Prospective Validation of the NCI Breast Cancer Risk Assessment Tool and the Autodensity Mammographic Density Tool on 40,000 Australian Screening Program Participants
- Author
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Nickson, C., primary, Procopio, P., additional, Devereux, L., additional, Carr, S., additional, Mann, G., additional, Arzhaeva, Y., additional, Velentzis, L., additional, James, P., additional, and Campbell, I., additional
- Published
- 2018
- Full Text
- View/download PDF
31. Overcoming Overdiagnosis: Women´s Preferences for Improving Breast Cancer Screening
- Author
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Bromley, H.L., primary, Roberts, T.E., additional, Petrie, D., additional, Mann, B.G., additional, Rea, D., additional, and Nickson, C., additional
- Published
- 2018
- Full Text
- View/download PDF
32. Should Ongoing Airway Education be a Mandatory Component of Continuing Professional Development for College of Intensive Care Medicine Fellows?
- Author
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Brewster, D. J., primary, Nickson, C. P., additional, Gatward, J. J., additional, Staples, M., additional, and Hawker, F., additional
- Published
- 2018
- Full Text
- View/download PDF
33. Uptake of adjuvant breast cancer treatments recommended by multi-disciplinary meetings
- Author
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Pattanasri, M, Elder, K, Nickson, C, Cooke, S, Machalek, D, Rose, A, Mou, A, Collins, JP, Park, A, De Boer, R, Phillips, C, Pridmore, V, Farrugia, H, Mann, GB, Pattanasri, M, Elder, K, Nickson, C, Cooke, S, Machalek, D, Rose, A, Mou, A, Collins, JP, Park, A, De Boer, R, Phillips, C, Pridmore, V, Farrugia, H, and Mann, GB
- Abstract
BACKGROUND: Adjuvant therapy for breast cancer is routinely discussed and recommended in multi-disciplinary meetings (MDMs). Current literature explores how treatments received by patients differ from national guidelines; however, it does not explore whether treatment is concordant with MDMs. This study provides an Australian perspective on the uptake of MDM recommendations and reasons for non-concordance. METHODS: A retrospective cohort study of patients with breast cancer presented at The Royal Melbourne Hospital MDM in 2010 and 2014 to investigate the concordance between MDM recommendations and treatment received. RESULTS: The study group comprised 441 patients (161 from 2010 and 280 from 2014). A total of 375 patients were included in the analyses. Overall, 82% of patients had perfect concordance between recommended and received treatment for all modes of adjuvant therapy. Concordance to endocrine therapy was higher for invasive cancers than ductal carcinoma in situ (97% versus 81%, P < 0.0001). Concordance to radiotherapy was high and did not differ according to type of cancer or surgery (ranging from 88 to 91%). Concordance to chemotherapy recommendations was high overall (92%) and did not vary with nodal status. Women aged over 65 years were least likely to be recommended for adjuvant therapy but most likely to concordant with the recommendation. CONCLUSIONS: Uptake of MDM-recommended treatments is high. There is a minority of patients in whom MDM recommendations are not followed, highlighting that there are extra steps between recommendations at an MDM and decisions with patients. More attention to this issue is appropriate, and the reasons for non-concordance warrant further study.
- Published
- 2018
34. Abstract PD2-13: Benefits to breast screening beyond mortality reduction
- Author
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Elder, KJ, primary, Nickson, C, additional, Cooke, S, additional, Machalek, D, additional, Rose, A, additional, Mou, A, additional, Collins, JP, additional, Park, A, additional, De Boer, R, additional, Phillips, C, additional, Pridmore, V, additional, Farrugia, H, additional, and Mann, GB, additional
- Published
- 2018
- Full Text
- View/download PDF
35. Abstract P3-04-06: Genomic analysis of cancers arising in breasts with different mammographic density
- Author
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Gorringe, KL, primary, Hughes, S, additional, Nickson, C, additional, Devereux, L, additional, Pridmore, V, additional, Rowley, SM, additional, Byrne, DJ, additional, Cheasley, D, additional, Kavanagh, AM, additional, Mann, GB, additional, Fox, SB, additional, and Campbell, IG, additional
- Published
- 2018
- Full Text
- View/download PDF
36. Optimization of propagation-based x-ray phase-contrast tomography for breast cancer imaging
- Author
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Baran, P, primary, Pacile, S, additional, Nesterets, Y I, additional, Mayo, S C, additional, Dullin, C, additional, Dreossi, D, additional, Arfelli, F, additional, Thompson, D, additional, Lockie, D, additional, McCormack, M, additional, Taba, S T, additional, Brun, F, additional, Pinamonti, M, additional, Nickson, C, additional, Hall, C, additional, Dimmock, M, additional, Zanconati, F, additional, Cholewa, M, additional, Quiney, H, additional, Brennan, P C, additional, Tromba, G, additional, and Gureyev, T E, additional
- Published
- 2017
- Full Text
- View/download PDF
37. Are community detected cancers more biologically similar to screen detected or interval breast cancers and how is this reflected in survival?
- Author
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Elder, K., primary, Nickson, C., additional, Farrugia, H., additional, and Mann, B., additional
- Published
- 2017
- Full Text
- View/download PDF
38. The predicted impact of HPV vaccination on male infections and male HPV-related cancers in Australia
- Author
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Smith MA, Lew JB, Walker R, Brotherton JM, Nickson C, and Canfell K
- Subjects
Male ,Adult ,HPV ,Adolescent ,analysis ,administration & dosage ,prevention & control ,Mass Vaccination ,Young Adult ,Neoplasms ,Prevalence ,Humans ,cancer ,Women ,Papillomavirus Vaccines ,Child ,Prevention - Resources and Infrastructure ,Aged ,Human papillomavirus 16 ,Models,Statistical ,Research ,Papillomavirus Infections ,Vaccination ,transmission ,Australia ,Middle Aged ,virology ,Aged,80 and over ,epidemiology ,Female ,New South Wales ,statistics & numerical data ,Cancer Type - Cervical Cancer - Abstract
Australia implemented a National HPV Vaccination Program in 2007, with routine vaccination of 12-13 year old females and catch-up in females aged 13-26 years to 2009. The aim of this study was to estimate the impact of the current female-only national vaccination program on males, and then to estimate the incremental benefits to males from being included in the program. We used preliminary data to estimate vaccination coverage in females. We then fitted a dynamic model of sexual behaviour and HPV transmission in Australia to local data on female pre-vaccination age-specific HPV prevalence, predicted the corresponding pre-vaccination prevalence in males due to heterosexual transmission, and modelled the short and long term impact of female-only versus female-and-male vaccination programs. The estimated 3-dose female coverage rates were 78% (range 70-80%) for ongoing coverage in 12-13 year old girls; and from 74% (range 70-80%) in 14 year olds, to 25% (range 15-35%) for women aged 26 years old in 2007. The median estimate for age-standardised pre-vaccination HPV 16 prevalence in females and males aged 15-59 years was 3.2% (95% range: 2.4-4.1%) and 3.1% (95% range: 2.2-4.2%), respectively. The current program in females is predicted to result in a 68% reduction in male HPV 16 infections by 2050, leading to an estimated long term reduction of 14% in rates of cancers of the head, neck and anogenital area. The estimated proportion of the maximum possible vaccine-conferred benefit to males from a female-and-male program which will be achieved by female-only vaccination is 73% (range in probabilistic sensitivity analysis: 53-78%). In conclusion, up to three-quarters of the maximum possible vaccination-conferred benefit to males due to reduced heterosexual transmission will be achieved by the existing female-only program
- Published
- 2011
39. Breast cancer screening of women aged 70-74 years: results from a natural experiment across Australia
- Author
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Nickson, C, Mason, KE, Kavanagh, AM, Nickson, C, Mason, KE, and Kavanagh, AM
- Abstract
There is a lack of evidence regarding the optimal age at which to cease mammographic screening for breast cancer. This ecological study compared Australian state and territory level screening participation rates and cancer outcomes from 1996 to 2005 to identify the extent to which screening women aged 70-74 results in smaller, earlier stage breast cancers. With each 10 % absolute increase in screening participation, there was no significant difference in cancer incidence, but the incidence of large cancers was 8 % lower (IRR = 0.92, 95 % CI 0.90-0.94, p < 0.001); there was some evidence of reduced nodal involvement at diagnosis (IRR 0.97, 95 % CI 0.95-0.99, p = 0.004) but this estimate was sensitive to assumptions regarding missing data. Increased mammographic screening of women aged 70-74 years reduces the incidence of large (>15 mm) cancers-and possibly cancers with nodal involvement-without a concomitant increase in overall cancer incidence.
- Published
- 2014
40. Rebuttal to: Letter to the Editor by Robert Burton, in response to doi:10.1007/s10549-013-2794-5
- Author
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Nickson, C, Mason, KE, Kavanagh, AM, Nickson, C, Mason, KE, and Kavanagh, AM
- Published
- 2014
41. 205 - Are community detected cancers more biologically similar to screen detected or interval breast cancers and how is this reflected in survival?
- Author
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Elder, K., Nickson, C., Farrugia, H., and Mann, B.
- Published
- 2017
- Full Text
- View/download PDF
42. AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening
- Author
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Nickson, C, Arzhaeva, Y, Aitken, Z, Elgindy, T, Buckley, M, Li, M, English, DR, Kavanagh, AM, Nickson, C, Arzhaeva, Y, Aitken, Z, Elgindy, T, Buckley, M, Li, M, English, DR, and Kavanagh, AM
- Abstract
INTRODUCTION: While Cumulus - a semi-automated method for measuring breast density - is utilised extensively in research, it is labour-intensive and unsuitable for screening programmes that require an efficient and valid measure on which to base screening recommendations. We develop an automated method to measure breast density (AutoDensity) and compare it to Cumulus in terms of association with breast cancer risk and breast cancer screening outcomes. METHODS: AutoDensity automatically identifies the breast area in the mammogram and classifies breast density in a similar way to Cumulus, through a fast, stand-alone Windows or Linux program. Our sample comprised 985 women with screen-detected cancers, 367 women with interval cancers and 4,975 controls (women who did not have cancer), sampled from first and subsequent screening rounds of a film mammography screening programme. To test the validity of AutoDensity, we compared the effect estimates using AutoDensity with those using Cumulus from logistic regression models that tested the association between breast density and breast cancer risk, risk of small and large screen-detected cancers and interval cancers, and screening programme sensitivity (the proportion of cancers that are screen-detected). As a secondary analysis, we report on correlation between AutoDensity and Cumulus measures. RESULTS: AutoDensity performed similarly to Cumulus in all associations tested. For example, using AutoDensity, the odds ratios for women in the highest decile of breast density compared to women in the lowest quintile for invasive breast cancer, interval cancers, large and small screen-detected cancers were 3.2 (95% CI 2.5 to 4.1), 4.7 (95% CI 3.0 to 7.4), 6.4 (95% CI 3.7 to 11.1) and 2.2 (95% CI 1.6 to 3.0) respectively. For Cumulus the corresponding odds ratios were: 2.4 (95% CI 1.9 to 3.1), 4.1 (95% CI 2.6 to 6.3), 6.6 (95% CI 3.7 to 11.7) and 1.3 (95% CI 0.9 to 1.8). Correlation between Cumulus and AutoDensity measures was 0.63
- Published
- 2013
43. Variation in mammographic appearance between projections of small breast cancers compared with radial scars.
- Author
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Cawson J.N., Kavanagh A.M., Evans J., Nickson C., Cawson J.N., Kavanagh A.M., Evans J., and Nickson C.
- Abstract
Aims: The study aims to assess variation in appearance between mammographic projections (conspicuity variation) for invasive breast cancers (IBCs) compared with radial scars (RS). Conspicuity variation has been previously described as characteristic of RS. The lesions were also compared with respect to breast density and the proportion of cases detected by one of two readers and required a third (consensus) read. Material(s) and Method(s): The study was approved by the BreastScreen Victoria research committee. Mammograms of 75 randomly selected invasive breast cancers, with histological diameter =10mm (IBC), were mixed with 67 consecutively detected RS, all from a double-reading population-based breast cancer screening programme. On blinded review, these 142 lesions were classified for mammographic findings and assessed for marked or minor conspicuity variation between views. We assessed the associations between lesion type, lesion spicules and centres, breast density, conspicuity variation and proportion detected by one reader only. Result(s): Marked conspicuity variation was common, but not statistically different for IBC and RS (64% vs. 66%, xi2=0.8, P=0.04). Conspicuity variation did not correlate with spiculation type (long, fine or short, broad based) or lesion centres (lucent or dense) (rho<0.05, P=0.5), and showed no significant change with increasing Breast Imaging Reporting and Data System breast density (IBC, xi2=2.3, P=0.5; RS, xi2=0.95, P=0.6). Density did not vary by lesion type. In the screening programme, 29% of IBC (125 of 431) versus 43% of RS (32 of 75) had been detected by one of two readers (xi2=2.7, P=0.098). Conclusion(s): Two-thirds of small IBCs displayed marked conspicuity variation, similar to RS. Therefore, conspicuity variation does not discriminate between IBC and RS. © 2010 The Royal Australian and New Zealand College of Radiologists.
- Published
- 2012
44. Screening and Breast Cancer Mortality-Response
- Author
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Nickson, C, Mason, KE, English, DR, Kavanagh, AM, Nickson, C, Mason, KE, English, DR, and Kavanagh, AM
- Published
- 2012
45. Expenditure and resource utilisation for cervical screening in Australia
- Author
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Lew, J-B, Howard, K, Gertig, D, Smith, M, Clements, M, Nickson, C, Shi, J-F, Dyer, S, Lord, S, Creighton, P, Kang, Y-J, Tan, J, Canfell, K, Lew, J-B, Howard, K, Gertig, D, Smith, M, Clements, M, Nickson, C, Shi, J-F, Dyer, S, Lord, S, Creighton, P, Kang, Y-J, Tan, J, and Canfell, K
- Abstract
BACKGROUND: The National Cervical Screening Program in Australia currently recommends that women aged 18-69 years are screened with conventional cytology every 2 years. Publicly funded HPV vaccination was introduced in 2007, and partly as a consequence, a renewal of the screening program that includes a review of screening recommendations has recently been announced. This study aimed to provide a baseline for such a review by quantifying screening program resource utilisation and costs in 2010. METHODS: A detailed model of current cervical screening practice in Australia was constructed and we used data from the Victorian Cervical Cytology Registry to model age-specific compliance with screening and follow-up. We applied model-derived rate estimates to the 2010 Australian female population to calculate costs and numbers of colposcopies, biopsies, treatments for precancer and cervical cancers in that year, assuming that the numbers of these procedures were not yet substantially impacted by vaccination. RESULTS: The total cost of the screening program in 2010 (excluding administrative program overheads) was estimated to be A$194.8M. We estimated that a total of 1.7 million primary screening smears costing $96.7M were conducted, a further 188,900 smears costing $10.9M were conducted to follow-up low grade abnormalities, 70,900 colposcopy and 34,100 histological evaluations together costing $21.2M were conducted, and about 18,900 treatments for precancerous lesions were performed (including retreatments), associated with a cost of $45.5M for treatment and post-treatment follow-up. We also estimated that $20.5M was spent on work-up and treatment for approximately 761 women diagnosed with invasive cervical cancer. Overall, an estimated $23 was spent in 2010 for each adult woman in Australia on cervical screening program-related activities. CONCLUSIONS: Approximately half of the total cost of the screening program is spent on delivery of primary screening tests; but the in
- Published
- 2012
46. Mammographic Screening and Breast Cancer Mortality: A Case-Control Study and Meta-analysis
- Author
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Nickson, C, Mason, KE, English, DR, Kavanagh, AM, Nickson, C, Mason, KE, English, DR, and Kavanagh, AM
- Abstract
BACKGROUND: Observational studies are necessary to assess the impact of population screening on breast cancer mortality. While some ecological studies have notably found little or no association, case-control studies consistently show strong inverse associations, but they are sometimes ignored, perhaps due to theoretical biases arising from the study design. We conducted a case-control study of breast cancer deaths in Western Australia to evaluate the effect of participation in the BreastScreen Australia program, paying particular attention to potential sources of bias, and undertook an updated meta-analysis of case-control studies. METHODS: Our study included 427 cases (women who died from breast cancer), each matched to up to 10 controls. We estimated the association between screening participation and breast cancer mortality, quantifying the effect of potential sources of bias on our findings, including selection bias, information bias, and confounding. We also conducted a meta-analysis of published case-control studies. RESULTS: The OR for participation in the Western Australian BreastScreen program in relation to death from breast cancer was 0.48 [95% confidence interval (CI), 0.38-0.59; P < 0.001]. We were unable to identify biases that could negate this finding: sensitivity analyses generated ORs from 0.45 to 0.52. Our meta-analysis yielded an OR of 0.51 (95% CI, 0.46-0.55). CONCLUSIONS: Our findings suggest an average 49% reduction in breast cancer mortality for women who are screened. In practice, theoretical biases have little effect on estimates from case-control studies. IMPACT: Case-control studies, such as ours, provide robust and consistent evidence that screening benefits women who choose to be screened.
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- 2012
47. Irukandji Syndrome Case Series From Australia's Tropical Northern Territory
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Nickson, C., Waugh, E., Jacups, Susan P., Currie, Bart J., Nickson, C., Waugh, E., Jacups, Susan P., and Currie, Bart J.
- Abstract
Study objectiveWe describe Irukandji syndrome (a painful hypercatecholaminergic condition caused by jellyfish envenoming) in Australia's Northern Territory.MethodsWe collected prospectively a standardized data set on patients presenting to health facilities in the Northern Territory. Additional cases were identified retrospectively. Data collected included demographic, geographic, seasonal, and environmental features, as well as sting details, clinical manifestations, investigations, management, and outcomes.ResultsFrom 1990 to 2007, Irukandji syndrome affected 87 people. Age ranged from 1 to 51 years (64% male victims; 41% children [63% indigenous]). Activities associated with stings included snorkeling or scuba diving (35%) and swimming (29%). Stings commonly occurred in water greater than 2 m deep (63%), with fine weather (73%) and still or light breeze (70%). Seasonal variation was bimodal; peaks in May and October corresponded to prevailing offshore winds in the Darwin and Gove areas, respectively. Pain was severe (65%), with rapid onset (<30 minutes in 79%). Sting lesions (visible in 63%) were mild, and nematocysts (detected in 7 cases) had variable morphology. Systemic features were common, including hypertension and ECG abnormalities. Severe complications included troponin-level increases (2 cases) and cardiomyopathy with ventricular tachycardia (1 case), but no fatalities. Management included vinegar as first aid (66%), parenteral opioids (70%) (range 2 to 82.5 mg morphine equivalents in adults), and magnesium sulfate (3 cases). Hospital admission (49%) and aeromedical retrieval (16%) were commonplace.ConclusionIrukandji syndrome in the Northern Territory was clinically consistent with previous studies but had distinct seasonal, geographic, and environmental features. Indigenous children in remote coastal communities are at risk, and there is room for improvement in prevention and management.
- Published
- 2009
48. Airway education in intensive care medicine in Australia and New Zealand: what are we doing?
- Author
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Brewster, D J, Nickson, C P, and Gatward, J J
- Subjects
- *
AIRWAY (Anatomy) , *CRITICAL care medicine , *HOSPITAL care - Published
- 2018
49. Novel Polymeric Coatings with the Potential to Control In-stent Restenosis — An In Vitro Study
- Author
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Nickson, C. M., primary, Doherty, P. J., additional, and Williams, R. L., additional
- Published
- 2008
- Full Text
- View/download PDF
50. Size distribution of screen-detected and interval cancers according to breast density suggests reduced screening benefit for women with higher density breasts
- Author
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Nickson, C, primary, Kavanagh, AM, additional, and Byrnes, GB, additional
- Published
- 2004
- Full Text
- View/download PDF
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