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173 results on '"Badic B"'

1. Comparison of surgical management and outcomes of acute right colic and sigmoid diverticulitis: a French national retrospective cohort study

Author

Karam, E., Sabbagh, C., Beyer-Bergeot, L., Zerbib, P., Bridoux, V., Manceau, G., Panis, Y., Buscail, E., Venara, A., Khaoudy, I., Gaillard, M., Viennet, M., Thobie, A., Menahem, B., Eveno, C., Bonnel, C., Mabrut, J.-Y., Badic, B., Godet, C., Eid, Y., Duchalais, E., Lakkis, Z., Cotte, E., Laforest, A., Desfourneaux, V., Maggiori, L., Rebibo, L., Christou, N., Talal, A., Aubert, M., Bonnamy, C., Germain, A., Mauvais, F., Tresallet, C., Roudie, J., Laurent, A., Trilling, B., Bertrand, M., Massalou, D., Romain, B., Tranchart, H., Giger-Pabst, U., Alves, A., and Ouaissi, M.

Published
2024
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2. Suprapubic versus transurethral catheterization for bladder drainage in male rectal cancer surgery (GRECCAR10), a randomized clinical trial

Author

Trilling, B., Tidadini, F., Lakkis, Z., Jafari, M., Germain, A., Rullier, E., Lefevre, J., Tuech, J. J., Kartheuser, A., Leonard, D., Prudhomme, M., Piessen, G., Regimbeau, J. M., Cotte, E., Duprez, D., Badic, B., Panis, Y., Rivoire, M., Meunier, B., Portier, G., Bosson, J. L., Vilotitch, A., Foote, A., Caspar, Y., Rouanet, P., and Faucheron, J. L.

Published
2024
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3. Risk factors for severe morbidity and definitive stoma after elective surgery for sigmoid diverticulitis: a multicenter national cohort study

Author

Sabbagh, C., Beyer-Berjot, L., Ouaissi, M., Zerbib, P., Bridoux, V., Manceau, G., Karoui, M., Panis, Y., Buscail, E., Venara, A., Khaoudy, I., Gaillard, M., Ortega-Deballon, P., Viennet, M., Thobie, A., Menahem, B., Eveno, C., Bonnel, C., Mabrut, J.-Y., Badic, B., Godet, C., Eid, Y., Duchalais, E., Lakkis, Z., Cotte, E., Laforest, A., Defourneaux, V., Maggiorri, L., Rebibo, L., Christou, N., Talal, A., Mege, D., Bonnamy, C., Germain, A., Mauvais, F., Tresallet, C., Ahmed, O., Regimbeau, J.-M., Roudie, J., Laurent, A., Trilling, B., Bertrand, M., Massalou, D., Romain, B., Tranchart, H., Giger, U., Dejardin, O., Pellegrin, A., and Alves, A.

Published
2024
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4. Risk of metachronous peritoneal metastases after surgery for obstructive colon cancer: Multivariate analysis from a series of 1,085 patients

Author

Abba, J., Alfarai, A., d’Annunzio, E., Arvieux, C., Badic, B., Aumont, A., Balbo, G., Baque, P., Baraket, O., Bege, T., Bellinger, J., Bert, M., Bertrand, M., Beyer-Berjot, L., Blanc, B., Brouquet, A., Brunetti, F., Cabau, M., Catheline, J.M., Cazauran, J.B., Chatelain, E., Chau, A., Codjia, T., Collard, M., Corte, H., Couchard, A.C., David, A., Dazza, M., Dejeante, C., De La Villéon, B., Denost, Q., Diaz de Cerio, J.M., Djawad-Boumediene, B., Dubuisson, V., Duchalais, E., Dufour, F., Dumaine, A.S., Esposito, F., Etienne, J.C., Eveno, C., Fayssal, E., Fernoux, P., Fixot, K., Fuks, D., Gagnat, G., Goin, G., Goudard, Y., Grégoire, E., Guillem, P., Hamel, S., Heyd, B., Huart, E., Humeau, M., Issard, J., Jafar, Y., Kadoche, D., Kahn, X., Lacaze, L., Lailler, G., Lefèvre, J.H., Lizzi, V., Loge, L., Lupinacci, R., Mabrut, J.Y., Maes, B., Maggiori, L., Mallet, L., Mariol, P., Martre, P., Mauvais, F., Messière, A.S., Michot, N., Moszkowicz, D., Munoz, N., Ortega-Deballon, P., Paquette, B., Parc, Y., Pauleau, G., Pautrat, K., Peschaud, F., Philouze, G., Pichot-Delahaye, V., Piessen, G., Pitel, S., Rat, P., Regimbeau, J.M., Rivier, P., Roussel, E., Sage, P.Y., de Saint Roman, C., Sockeel, P., Susoko, L., Tetard, O., Tortajada, P., Tranchart, A., Tresallet, C., Trilling, B., Ulloa-Severino, B., Vauchaussade de Chaumont, A., Venara, A., Cazelles, Antoine, Tarhini, Ahmad, Sabbagh, Charles, Mege, Diane, Bridoux, Valérie, Lakkis, Zaher, Voron, Thibault, Abdalla, Solafah, Lecot, Frederik, Karoui, Mehdi, and Manceau, Gilles

Published
2025
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9. SENSITIVITY OF FAECAL IMMUNOCHEMICAL TEST FOR COLORECTAL CANCER SCREENING AND RISK FACTORS FOR INTERVAL CANCER: A FRENCH POPULATION-BASED STUDY

Author

Canévet, M., additional, Pruvost-Couvreur, M., additional, Badic, B., additional, Brousse-Potocki, J., additional, Le Reun, S., additional, Bouzeloc, S., additional, Kermarrec, T., additional, Nousbaum, J.-B., additional, Robaszkiewicz, M., additional, Reboux, N., additional, and Quénéhervé, L., additional

Published
2022
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10. Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases

Author

Islam, M.M., Badic, B., Aparicio, T., Tougeron, D., Tasu, J.P., Visvikis, D., Conze, P.H., Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S., RS: FSE DACS, and Dept. of Advanced Computing Sciences

Subjects
Liver metastases, Longitudinal analysis, Siamese network, Treatment response, Colorectal cancer, LEARNING ALGORITHM
Abstract

Evaluating treatment response is essential in patients who develop colorectal liver metastases to decide the necessity for second-line treatment or the admissibility for surgery. Currently, RECIST1.1 is the most widely used criteria in this context. However, it involves time-consuming, precise manual delineation and size measurement of main liver metastases from Computed Tomography (CT) images. Moreover, an early prediction of the treatment response given a specific chemotherapy regimen and the initial CT scan would be of tremendous use to clinicians. To overcome these challenges, this paper proposes a deep learning-based treatment response assessment pipeline and its extension for prediction purposes. Based on a newly designed 3D Siamese classification network, our method assigns a response group to patients given CT scans from two consecutive follow-ups during the treatment period. Further, we extended the network to predict the treatment response given only the image acquired at first time point. The pipelines are trained on the PRODIGE20 dataset collected from a phase-II multi-center clinical trial in colorectal cancer with liver metastases and exploit an in-house dataset to integrate metastases delineations derived from a U-Net inspired network as additional information. Our approach achieves overall accuracies of 94.94% and 86.86% for treatment response assessment and early prediction respectively, suggesting that both treatment response assessment and prediction issues can be effectively solved with deep learning.

Published
2022
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11. Multicentre study of neoadjuvant chemotherapy for stage I and II oesophageal cancer

Author

Bekkar, S., Gronnier, C., Renaud, F., Duhamel, A., Pasquer, A., Théreaux, J., Gagnière, J., Meunier, B., Collet, D., Mariette, C., Dhahri, A., Lignier, D., Cossé, C., Regimbeau, J.-M., Luc, G., Cabau, M., Jougon, J., Badic, B., Lozach, P., Bail, J. P., Cappeliez, S., El Nakadi, I., Lebreton, G., Alves, A., Flamein, R., Pezet, D., Pipitone, F., Stan-Iuga, B., Contival, N., Pappalardo, E., Coueffe, X., Msika, S., Mantziari, S., Demartines, N., Hec, F., Vanderbeken, M., Tessier, W., Briez, N., Fredon, F., Gainant, A., Mathonnet, M., Bigourdan, J. M., Mezoughi, S., Ducerf, C., Baulieux, J., Mabrut, J.-Y., Baraket, O., Poncet, G., Adam, M., Vaudoyer, D., Enfer, P. Jourdan, Villeneuve, L., Glehen, O., Coste, T., Fabre, J.-M., Marchal, F., Frisoni, R., Ayav, A., Brunaud, L., Bresler, L., Cohen, C., Aze, O., Venissac, N., Pop, D., Mouroux, J., Donici, I., Prudhomme, M., Felli, E., Lisunfui, S., Seman, M., Petit, G. Godiris, Karoui, M., Tresallet, C., Ménégaux, F., Vaillant, J.-C., Hannoun, L., Malgras, B., Lantuas, D., Pautrat, K., Pocard, M., Valleur, P., Lefevre, J. H., Chafai, N., Balladur, P., Lefrançois, M., Parc, Y., Paye, F., Tiret, E., Nedelcu, M., Laface, L., Perniceni, T., Gayet, B., Turner, K., Filipello, A., Porcheron, J., Tiffet, O., Kamlet, N., Chemaly, R., Klipfel, A., Pessaux, P., Brigand, C., Rohr, S., Carrère, N., Da Re, C., Dumont, F., Goéré, D., Elias, D., and Bertrand, C.

Published
2016
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15. Prédiction de la réponse pathologique complète à la chimioradiothérapie néoadjuvante à l’aide d’une analyse radiomique basée sur l’imagerie par résonance magnétique pour le cancer du rectum localement évolué

Author

Bordron, A., primary, Bourbonne, V., additional, Rio, E., additional, Badic, B., additional, Miranda, O., additional, Pradier, O., additional, Hatt, M., additional, Visvikis, D., additional, Lucia, F., additional, and Schick, U., additional

Published
2021
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23. Market Access for Radio Equipment in Europe Enabled by the Radio Equipment Directive: Status, Next Steps and Implications

Author

Mueck, MD, Badic, B, Ahn, H, Bender, P, Choi, S, Ivanov, V, Mueck, MD, Badic, B, Ahn, H, Bender, P, Choi, S, and Ivanov, V

Abstract

© 1979-2012 IEEE. In Europe, market access for radio equipment is governed through the Radio Equipment Directive (RED), which replaced the Radio Equipment and Telecommunications Terminal Equipment (R&TTE) Directive in 2016. The essential requirements were introduced by RED and subsequently processed by European standards organizations: the European Telecommunications Standards Institute, the European Committee for Electrotechnical Standardization, and the European Committee for Standardization, in order to develop harmonised standards (HSs). These HSs may be used by manufacturers in order to achieve self-declaration of conformity of radio equipment. Compared to the previously applicable R&TTE Directive, RED contains a set of new Articles, including RED Articles 3(3)(a) to 3(3)(i) and Article 4, which were not enacted when RED was originally published. This article discusses the process for "activating" the corresponding articles, and provides commentary on related ongoing activities in European Commission Expert Groups and detailed implications on radio equipment design. Indeed, new requirements need to be met in order to achieve market access, such as reconfigurability, privacy, and security features. Finally, implications such as time to market and RED compliance certification cost are assessed, and a comparison to other regulation regimes is given, including those in the United States, Korea, and Russia.

Published
2019

28. Reply to Dickson-Loweet al

Author

Bail Jp and Badic B

Subjects
03 medical and health sciences, 0302 clinical medicine, business.industry, 030220 oncology & carcinogenesis, Gastroenterology, Medicine, 030211 gastroenterology & hepatology, business, Classics
Published
2016
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