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1. Spin-lock based fast whole-brain 3D macromolecular proton fraction mapping of relapsing–remitting multiple sclerosis

Author

Jian Hou, Zongyou Cai, Weitian Chen, and Tiffany Y. So

Subjects
Spin-lock, Multiple sclerosis, Magnetic resonance imaging, Myelin, Magnetization transfer, Medicine, Science
Abstract

Abstract A sensitive and efficient imaging technique is required to assess the subtle abnormalities occurring in the normal-appearing white matter (NAWM) and normal-appearing grey matter (NAGM) in patients with relapsing–remitting multiple sclerosis (RRMS). In this study, a fast 3D macromolecular proton fraction (MPF) quantification based on spin-lock (fast MPF-SL) sequence was proposed for brain MPF mapping. Thirty-four participants, including 17 healthy controls and 17 RRMS patients were prospectively recruited. We conducted group comparison and correlation between conventional MPF-SL, fast MPF-SL, and DWI, and compared differences in quantified parameters within MS lesions and the regional NAWM, NAGM, and normal-appearing deep grey matter (NADGN). MPF of MS lesions was significantly reduced (7.17% ± 1.15%, $$P$$ P < 0.01) compared to all corresponding normal-appearing regions. MS patients also showed significantly reduced mean MPF values compared with controls in NAGM (4.87% ± 0.38% vs 5.21% ± 0.32%, $$P$$ P = 0.01), NAWM (9.49% ± 0.69% vs 10.32% ± 0.59%, $$P$$ P < 0.01) and NADGM (thalamus 5.59% ± 0.67% vs 6.00% ± 0.41%, $$P$$ P = 0.04; caudate 5.10% ± 0.55% vs 5.53% ± 0.58%, $$P$$ P = 0.03). MPF and ADC showed abnormalities in otherwise normal appearing close to lesion areas (P

Published
2024
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2. Editorial: Quantitative neuroradiology methods

Author

Mojtaba Barzegar, Mark Schweitzer, Tiffany Y. So, Yongsheng Chen, and Şükrü Mehmet Ertürk

Subjects
motion artefact, DKI-diffusion kurtosis imaging, BCVI-blunt cerebrovascular injury, CNN—convolutional neural network, ethics—clinical, Medical physics. Medical radiology. Nuclear medicine, R895-920
Published
2024
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3. Federated learning enables big data for rare cancer boundary detection

Author

Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig K. Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin C. Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B. Martins, Bernardo C. A. Teixeira, Flávia Sprenger, David Menotti, Diego R. Lucio, Pamela LaMontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W. Lui, Richard McKinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E. Sloan, Vachan Vadmal, Kristin Waite, Rivka R. Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, J. Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke V. M. Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I. Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M. Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R. van der Voort, Ahmed Alafandi, Fatih Incekara, Maarten M. J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Martin J. van den Bent, Pim J. French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P. Niclou, Olivier Keunen, Ann-Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B. Chambless, Akshitkumar Mistry, Reid C. Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C. Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, Sean Benson, Regina G. H. Beets-Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M. Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F. Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik M. Mani, David Payne, Tahsin Kurc, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A. Velastin, Godwin Ogbole, Mayowa Soneye, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu’aibu, Adeleye Dorcas, Farouk Dako, Amber L. Simpson, Mohammad Hamghalam, Jacob J. Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fabio Y. Moraes, Michael A. Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S. Barnholtz-Sloan, Jason Martin, and Spyridon Bakas

Subjects
Science
Abstract

Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here, the authors present the largest FL study to-date to generate an automatic tumor boundary detector for glioblastoma.

Published
2022
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4. Normal size of benign upper neck nodes on MRI: parotid, submandibular, occipital, facial, retroauricular and level IIb nodal groups

Author

Qi Yong H. Ai, Tiffany Y. So, Kuo Feng Hung, and Ann D. King

Subjects
Normal nodal size, MRI, head and neck, Benign and reactive, Lymph nodes, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Purpose Nodal size is an important imaging criterion for differentiating benign from malignant nodes in the head and neck cancer staging. This study evaluated the size of normal nodes in less well-documented nodal groups in the upper head and neck on magnetic resonance imaging (MRI). Methods Analysis was performed on 289 upper head and neck MRIs of patients without head and neck cancer. The short axial diameters (SAD) of the largest node in the parotid, submandibular, occipital, facial, retroauricular and Level IIb of the upper internal jugular nodal groups were documented and compared to the commonly used threshold of ≥ 10 mm for diagnosis of a malignant node. Results Normal nodes in the parotid, occipital, retroauricular and Level IIb groups were small with a mean SAD ranging from 3.8 to 4.4 mm, nodes in the submandibular group were larger with a mean SAD of 5.5 mm and facial nodes were not identified. A size ≥ 10 mm was found in 0.8% of submandibular nodes. Less than 10% of the other nodal group had a SAD of ≥ 6 mm and none of them had a SAD ≥ 8 mm. Conclusion To identify malignant neck nodes in these groups there is scope to reduce the size threshold of ≥ 10 mm to improve sensitivity without substantial loss of specificity.

Published
2022
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5. Prognostic value of cervical nodal necrosis on staging imaging of nasopharyngeal carcinoma in era of intensity-modulated radiotherapy: a systematic review and meta-analysis

Author

Qi-Yong H. Ai, Kuo Feng Hung, Tiffany Y. So, Frankie K. F. Mo, Wing Tsung Anthony Chin, Edwin P. Hui, Brigette B. Y. Ma, Michael Ying, and Ann D. King

Subjects
Nasopharyngeal carcinoma, Cervical nodal necrosis, Imaging, Prognostic value, Meta-analysis, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Purposes To systematically review and perform meta-analysis to evaluate the prognostic value of cervical nodal necrosis (CNN) on the staging computed tomography/magnetic resonance imaging (MRI) of nasopharyngeal carcinoma (NPC) in era of intensity-modulated radiotherapy. Methods Literature search through PubMed, EMBASE, and Cochrane Library was conducted. The hazard ratios (HRs) with 95% confidence intervals (CIs) of CNN for distant metastasis-free survival (DMFS), disease free survival (DFS) and overall survival (OS) were extracted from the eligible studies and meta-analysis was performed to evaluate the pooled HRs with 95%CI. Results Nine studies, which investigated the prognostic values of 6 CNN patterns on MRI were included. Six/9 studies were eligible for meta-analysis, which investigated the CNN presence/absence in any nodal group among 4359 patients. The pooled unadjusted HRs showed that the CNN presence predicted poor DMFS (HR =1.89, 95%CI =1.72-2.08), DFS (HR =1.57, 95%CI =1.08-2.26), and OS (HR =1.87, 95%CI =1.69-2.06). The pooled adjusted HRs also showed the consistent results for DMFS (HR =1.34, 95%CI =1.17-1.54), DFS (HR =1.30, 95%CI =1.08-1.56), and OS (HR =1.61, 95%CI =1.27-2.04). Results shown in the other studies analysing different CNN patterns indicated the high grade of CNN predicted poor outcome, but meta-analysis was unable to perform because of the heterogeneity of the analysed CNN patterns. Conclusion The CNN observed on the staging MRI is a negative factor for NPC outcome, suggesting that the inclusion of CNN is important in the future survival analysis. However, whether and how should CNN be included in the staging system warrant further evaluation.

Published
2022
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6. Current Concepts in Imaging Diagnosis and Screening of Blunt Cerebrovascular Injuries

Author

Tiffany Y. So, Apurva Sawhney, Lei Wang, and Yi Xiang J. Wang

Subjects
blunt cerebrovascular injury, neck injuries, vertebral arteries, carotid arteries, stroke, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Blunt cerebrovascular injury (BCVI) is an often underrecognized injury occurring in the carotid or vertebral arteries, associated with a risk of ischemic stroke and potential for poor neurological outcome or death. Computed tomographic angiography (CTA) is the most common modality for initial screening and diagnosis. Vessel wall intimal injuries, intraluminal thrombus, dissection, intramural hematoma, pseudoaneurysm, vessel transection, and arteriovenous fistula, are potential findings to be considered in approach to imaging. Identification of high-risk trauma patients based on clinical and radiological risk factors can determine patients at risk of BCVI for targeted screening.

Published
2022
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7. Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

Author

Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, and Pheng Ann Heng

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Abstract Data privacy mechanisms are essential for rapidly scaling medical training databases to capture the heterogeneity of patient data distributions toward robust and generalizable machine learning systems. In the current COVID-19 pandemic, a major focus of artificial intelligence (AI) is interpreting chest CT, which can be readily used in the assessment and management of the disease. This paper demonstrates the feasibility of a federated learning method for detecting COVID-19 related CT abnormalities with external validation on patients from a multinational study. We recruited 132 patients from seven multinational different centers, with three internal hospitals from Hong Kong for training and testing, and four external, independent datasets from Mainland China and Germany, for validating model generalizability. We also conducted case studies on longitudinal scans for automated estimation of lesion burden for hospitalized COVID-19 patients. We explore the federated learning algorithms to develop a privacy-preserving AI model for COVID-19 medical image diagnosis with good generalization capability on unseen multinational datasets. Federated learning could provide an effective mechanism during pandemics to rapidly develop clinically useful AI across institutions and countries overcoming the burden of central aggregation of large amounts of sensitive data.

Published
2021
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8. Author Correction: Federated learning enables big data for rare cancer boundary detection

Author

Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig K. Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin C. Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B. Martins, Bernardo C. A. Teixeira, Flávia Sprenger, David Menotti, Diego R. Lucio, Pamela LaMontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W. Lui, Richard McKinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E. Sloan, Vachan Vadmal, Kristin Waite, Rivka R. Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, J. Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke V. M. Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I. Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M. Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R. van der Voort, Ahmed Alafandi, Fatih Incekara, Maarten M. J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Martin J. van den Bent, Pim J. French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P. Niclou, Olivier Keunen, Ann-Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B. Chambless, Akshitkumar Mistry, Reid C. Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C. Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, Sean Benson, Regina G. H. Beets-Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M. Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F. Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik M. Mani, David Payne, Tahsin Kurc, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A. Velastin, Godwin Ogbole, Mayowa Soneye, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu’aibu, Adeleye Dorcas, Farouk Dako, Amber L. Simpson, Mohammad Hamghalam, Jacob J. Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fabio Y. Moraes, Michael A. Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S. Barnholtz-Sloan, Jason Martin, and Spyridon Bakas

Subjects
Science
Published
2023
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10. Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

Author

Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, and Pheng Ann Heng

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Published
2022
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11. Foramen tympanicum with symptomatic temporomandibular joint herniation

Author

Kateryna Burlak, Tiffany Y. So, William A. Maclaurin, and Andrew F. Dixon

Subjects
Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Foramen tympanicum (FT), or foramen of Huschke, describes an uncommon anatomicvariant of a persistent bony defect connecting the external acoustic meatus to the temporomandibular joint (TMJ). Although rare, it can be associated with significant complications, such as TMJ herniation, salivary gland fistula, infectious or tumoral spread between the external acoustic meatus and the TMJ, or result in inadvertent ear injury during TMJ arthroscopy. To the best of our knowledge, this is the first case report of a symptomatic FT with a full description of computed tomography and magnetic resonance imaging findings. Surgical exploration confirmed the presence of FT with TMJ herniation with subsequent successful closure of the defect obtained. Keywords: External acoustic canal, Temporomandibular joint, Anatomic variation, Magnetic resonance imaging, X-ray computed tomography

Published
2018
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18. Can Intracardiac Echocardiography Reduce Steam Pops During Half-Normal Saline Irrigated Radiofrequency Ablation?

Author

Hasegawa, Kanae, Yoneda, Zachary T., Martines-Parachini, Jose R., Powers, Edward M., Davogustto, Giovanni E., Hu, Tiffany Y., Tokutake, Kenichi, Kurata, Masaaki, Richardson, Travis D., Montgomery, Jay A., Shen, Sharon, Estrada, Juan C., Saavedra, Pablo J., Emerson, Amy, Walker, Marilyn L., Tandri, Harikrishna, Michaud, Gregory F., Kanagasundram, Arvindh N., and Stevenson, William G.

Published
2024
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20. Procedural interventions for oligoprogression during treatment with immune checkpoint blockade in gynecologic malignancies: a case series

Author

Sia, Tiffany Y, Wan, Vivian, Finlan, Michael, Zhou, Qin C, Iasonos, Alexia, Zivanovic, Oliver, Sonoda, Yukio, Chi, Dennis S, Long Roche, Kara, Jewell, Elizabeth, Tew, William P, O'Cearbhaill, Roisin E, Cohen, Seth, Makker, Vicky, Liu, Ying L, Friedman, Claire F, Kyi, Chrisann, Zamarin, Dmitriy, and Gardner, Ginger

Published
2024
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21. Mainstreaming in parallel with ovarian cancer tumor testing to improve genetic testing uptake

Author

Byrne, Maureen, Sia, Tiffany Y., Fong, Christopher, Khurram, Aliya, Waters, Michele, Kemel, Yelena M., Zhou, Qin, Ranganathan, Megha, Long Roche, Kara, Chi, Dennis S., Saban, Sally, Wu, Michelle, Varice, Nancy, Hamilton, Jada G., Carrot-Zhang, Jian, Abu-Rustum, Nadeem R., Iasonos, Alexia, Ellenson, Lora H., Mandelker, Diana, Weigelt, Britta, Brown, Carol L., Aghajanian, Carol, Stadler, Zsofia, and Liu, Ying L.

Published
2024
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24. Pathogenic germline variants in non-BRCA1/2 homologous recombination genes in ovarian cancer: Analysis of tumor phenotype and survival

Author

Kahn, Ryan M., Selenica, Pier, Boerner, Thomas, Long Roche, Kara, Xiao, Yonghong, Sia, Tiffany Y., Maio, Anna, Kemel, Yelena, Sheehan, Margaret, Salo-Mullen, Erin, Breen, Kelsey E., Zhou, Qin, Iasonos, Alexia, Grisham, Rachel N., O’Cearbhaill, Roisin E., Chi, Dennis S., Berger, Michael F., Kundra, Ritika, Schultz, Nikolaus, Ellenson, Lora H., Stadler, Zsofia K., Offit, Kenneth, Mandelker, Diana, Aghajanian, Carol, Zamarin, Dmitriy, Sabbatini, Paul, Weigelt, Britta, and Liu, Ying L.

Published
2024
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27. Leave it in the past - primary treatment modality for high-grade epithelial ovarian cancer is not associated with secondary cytoreduction outcomes: A Memorial Sloan Kettering Cancer Center Team Ovary study

Author

Sia, Tiffany Y., Manning-Geist, Beryl L., Ehmann, Sarah, Lavery, Jessica A., Luardo, Carrie, Praiss, Aaron, Iasonos, Alexia, Sonoda, Yukio, Grisham, Rachel N., Liu, Ying L., Broach, Vance, Zivanovic, Oliver, Long Roche, Kara, Gardner, Ginger J., and Chi, Dennis S.

Published
2023
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31. Germline drivers of gynecologic carcinosarcomas

Author

Sia, Tiffany Y., Gordhandas, Sushmita B., Birsoy, Ozge, Kemel, Yelena, Maio, Anna, Salo-Mullen, Erin, Sheehan, Margaret, Hensley, Martee L., Rubinstein, Maria, Makker, Vicky, Grisham, Rachel N., O’Cearbhaill, Roisin E., Long Roche, Kara, Mueller, Jennifer J., Leitao, Mario M., Jr, Sonoda, Yukio, Chi, Dennis S., Abu-Rustum, Nadeem R., Berger, Michael F., Ellenson, Lora H., Latham, Alicia, Stadler, Zsofia, Offit, Kenneth, Aghajanian, Carol, Weigelt, Britta, Mandelker, Diana, and Liu, Ying L.

Published
2023
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32. The effect of older age on treatment outcomes in women with advanced ovarian cancer receiving chemotherapy: An NRG-Oncology/Gynecologic Oncology Group (GOG-0182-ICON5) ancillary study

Author

Sia, Tiffany Y., Tew, William P., Purdy, Christopher, Chi, Dennis S., Menzin, Andrew W., Lovecchio, John L., Bookman, Michael A., Cohn, David E., Teoh, Deanna G., Friedlander, Michael, Bender, David, Mutch, David G., Gershenson, David M., Tewari, Krishnansu S., Wenham, Robert M., Wahner Hendrickson, Andrea E., Lee, Roger B., Gray, Heidi J., Secord, Angeles Alvarez, Van Le, Linda, and Lichtman, Stuart M.

Published
2023
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42. Environmental and societal factors associated with COVID-19-related death in people with rheumatic disease: an observational study

Author

Dahou, Brahim, Gómez, Gimena, Roberts, Karen, Baez, Roberto M, Castro Coello, Vanessa V, Haye Salinas, María J, Maldonado, Federico N, Reyes, Alvaro A, Alle, Gelsomina, Tanten, Romina, Maldonado Ficco, Hernán, Nieto, Romina, Gobbi, Carla, Tissera, Yohana, Pisoni, Cecilia, Paula, Alba, Albiero, Juan A, Schmid, Maria M, Cosatti, Micaela, Gamba, Maria J, Leandro, Carlevaris, Cusa, María A, German, Noelia, Bellomio, Veronica, Takashima, Lorena, Pera, Mariana, Cogo, Karina, Gálvez Elkin, Maria S, Medina, María A, Savio, Veronica, Rojas Tessel, Romina, Alamino, Rodolfo P, Werner, Marina L, Ornella, Sofía, Casalla, Luciana, de la Vega, Maria, Severina, María, García, Mercedes, Gonzalez Lucero, Luciana, Romeo, Cecilia, Moyano, Sebastián, Barbich, Tatiana, Bertoli, Ana, Baños, Andrea, Petruzzelli, Sandra, Matellan, Carla, Conti, Silvana, Lazaro, Maria A, Rodriguez Gil, Gustavo F, Risueño, Fabian, Quaglia, Maria I, Scafati, Julia, Cuchiaro, Natalia L, Rebak, Jonathan E, Pineda, Susana I, Calvo, María E, Picco, Eugenia, Yanzi, Josefina G, Maid, Pablo, Guaglianone, Debora, Morbiducci, Julieta S, Porta, Sabrina, Herscovich, Natalia, Velasco Zamora, José L, Kisluk, Boris, Castaños Menescardi, Maria S, Gallo, Rosana, Martire, María V, Maldini, Carla, Goizueta, Cecilia, de la Vega Fernandez, Sabrina S, Aeschlimann, Carolina, Subils, Gisela, Rath, Eva, Piette, Yves, Devinck, Mieke, Maeyaert, Bea, Machado Ribeiro, Francinne, Euzebio Ribeiro, Sandra L, Pinheiro, Marcelo, Ibáñez, Sebastián, Chassin Trubert, Anne-Marie, Dong, Lingli, Cajas, Lui, Barešić, Marko, Anić, Branimir, Ćulo, Melanie-Ivana, Pavelić, Tea A, Stranski, Kristina K, Karanovic, Boris, Vencovsky, Jiri, Píchová, Marta, Filkova, Maria, Hamoud, Hesham, Vassilopoulos, Dimitrios, Guzman Melgar, Gabriela M, So, Ho, Király, Márta, Vojdanian, Mahdi, Balbir Gurman, Alexandra, Abutiban, Fatemah, Zepa, Julija, Bulina, Inita, Bukauskiene, Loreta, Zazueta Montiel, Beatriz E, Castillo Ortiz, Angel A, Zamora Tehozol, Erick, Vega Morales, David, Cervántes Rosete, Diana, Martín Nares, Eduardo, Rodriguez Reyna, Tatiana S, Rull Gabayet, Marina, Alpízar Rodríguez, Deshiré, Irazoque, Fedra, Jimenez, Xochitl, Geurts van Bon, Lenny, Zijlstra, Theo, Hoekstra, Monique, Al Adhoubi, Nasra, Salim, Babur, Giraldo, Enrique, Salinas, Ariel, Ugarte Gil, Manuel, Nowakowski, Jarosław, Conway, Richard, Flood, Rachael, McCarthy, Geraldine, Felea, Ioana, Filipescu, Ileana, Rednic, Simona, Groseanu, Laura, Tamas, Maria M, Mlynarikova, Vanda, Skamlova, Martina, Zlnay, Martin, Mičeková, Dagmar, Capova, Lubica, Macejova, Zelmira, Šteňová, Emőke, Raffayova, Helena, Belakova, Gabriela, Strakova, Eva, Senčarová, Marieta, Žlnayová, Soňa, Sabová, Anna, Spisakova, Daniela, Oetterová, Mária, Lukacova, Olga, Bakosova, Martina, Hocevar, Alojzija, de la Torre Rubio, Natalia, Alegre Sancho, Juan J, Corteguera Coro, Montserrat, Cobeta Garcia, Juan C, Torres Martin, Maria C, Campos, Jose, Gomez Puerta, Jose A, Yardimci, Gozd K, Akar, Servet, Icacan, Ozan C, ÇELİK, Selda, Vasylets, Viktoriia, Yeoh, Su-Ann, Vandevelde, Claire, Dunt, Sasha, Leeder, Jane, Macphie, Elizabeth, Salerno, Rosaria, Graver, Christine, Williams, Katie, O'Reilly, Sheila, Devine, Kirsty, Tyler, Jennifer, Warner, Elizabeth, Pilcher, James, Patel, Samir, Nikiphorou, Elena, Chadwick, Laura, Jones, Caroline M, Harrison, Beverley, Thornton, Lucy, O'Kane, Diana, Fusi, Lucia, Low, Audrey, Horton, Sarah, Jatwani, Shraddha, Baig, Sara, Bajwa, Hammad, Berglund, Vernon, Dahle, Angela, Dorman, Walter, Hargrove, Jody, Hilton, Maren, Lebedoff, Nicholas, Leonard, Susan, Morgan, Jennifer, Pfeifer, Emily, Skemp, Archibald, Wilson, Jeffrey, Wolff, Anne, Cepeda, Eduardo, Todd, Derrick, Hare, Denise, Calabrese, Cassandra, Adams, Christopher, Khosroshahi, Arezou, Kilian, Adam, White, Douglas, Winter, Melanie, Fields, Theodore, Siegel, Caroline, Daver, Nicole, Harvey, Melissa, Kramer, Neil, Lamore, Concetta, Hogarty, Suneya, Yeter, Karen, Siddique, Faizah, Ban, Byung, Tanner, Tamar, Ruderman, Eric, Davis, William, Quinet, Robert, Scopelitis, Evangeline, Toribio, Karen, Webb Detiege, Tameka, Zakem, Jerald, Abbass, Khurram, Kepecs, Gilbert, Miranda, Lilliam, Guma, Michael, Haikal, Ammar, Mody, Sushama, Mueller, Daric, Jayatilleke, Arundathi, Zell, JoAnn, Bays, Alison, Dao, Kathryn, Ezzati, Fatemeh, Parks, Deborah, Karp, David, Quiceno, Guillermo, Izadi, Zara, Gianfrancesco, Milena A, Schmajuk, Gabriela, Jacobsohn, Lindsay, Katz, Patricia, Rush, Stephanie, Ja, Clairissa, Taylor, Tiffany, Shidara, Kie, Danila, Maria I, Wysham, Katherine D, Strangfeld, Anja, Mateus, Elsa F, Hyrich, Kimme L, Gossec, Laure, Carmona, Loreto, Lawson-Tovey, Saskia, Kearsley-Fleet, Lianne, Schaefer, Martin, Al-Emadi, Samar, Sparks, Jeffrey A, Hsu, Tiffany Y-T, Patel, Naomi J, Wise, Leanna, Gilbert, Emily, Duarte-García, Alí, Valenzuela-Almada, Maria O, Ugarte-Gil, Manuel F, Ljung, Lotta, Scirè, Carlo A, Carrara, Greta, Hachulla, Eric, Richez, Christophe, Cacoub, Patrice, Thomas, Thierry, Santos, Maria J, Bernardes, Miguel, Hasseli, Rebecca, Regierer, Anne, Schulze-Koops, Hendrik, Müller-Ladner, Ulf, Pons-Estel, Guillermo, Nieto, Romina E, Pisoni, Cecilia N, Tissera, Yohana S, Xavier, Ricardo, Lopes Marques, Claudia D, Pileggi, Gecilmara C S, Robinson, Philip C, Machado, Pedro M, Sirotich, Emily, Liew, Jean W, Hausmann, Jonathan S, Sufka, Paul, Grainger, Rebecca, Bhana, Suleman, Gore-Massy, Monique, Wallace, Zachary S, and Yazdany, Jinoos

Published
2022
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43. Ventricular nanosecond pulsed electric field delivery using active fixation leads: a proof-of-concept preclinical study

Author

Tan, Nicholas Y., Ladas, Thomas P., Christopoulos, Georgios, Sugrue, Alan M., van Zyl, Martin, Ladejobi, Adetola O., Lodhi, Fahad K., Hu, Tiffany Y., Ezzeddine, Fatima M., Agboola, Kolade, Uecker, Darrin, Maor, Elad, Tri, Jason A., Jiang, Zhi, Yasin, Omar Z., DeSimone, Christopher V., Killu, Ammar M., Asirvatham, Samuel J., and Del-Carpio Munoz, Freddy

Published
2022
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49. Health Behaviors and Experiences of LGBTQ + Individuals during 2022 Mpox Outbreak: Findings from the QVax Study.

Author

Krause, Kristen D., Lewis, Kendra, Scrofani, Stephan, Guo, Tiffany Y., Goulbourne, Davin, and Halkitis, Perry N.

Abstract

The 2022 global outbreak of Mpox (formerly named Monkeypox) disproportionately impacted lesbian, gay, bisexual, transgender, and queer (LGBTQ+) populations, with a significant impact on sexual minority men. A cross-sectional survey was conducted among LGBTQ + adults living in New Jersey and New York to examine vaccination behaviors for Mpox. We sought out to understand the health experiences and behaviors of the population during the initial outbreak. This analysis included a subset of participants (n = 253) who completed the survey after the onset of the Mpox outbreak in May 2022. We examined awareness of and concerns about Mpox, willingness to vaccinate, as well as vaccination access and vaccination uptake. Our findings indicate that white, cisgender, gay men, as well as employed individuals, had the highest rates of vaccination for Mpox. Those with higher levels of concern about the virus were both more likely to be vaccinated and to report difficulty securing an appointment. Overall, our findings reinforce the health disparities in the population, demonstrating as with many other health conditions that white and economically stable individuals have advantages in accessing care. [ABSTRACT FROM AUTHOR]

Published
2025
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50. High Incidence of Gastric Cancer in El Salvador: A National Multisectorial Study during 2000 to 2014.

Author

Ruiz de Campos, Lisseth, Valdez de Cuellar, Marisabel, Norwood, Dalton A., Carrasco, Tiffany Y., Montalvan-Sanchez, Eleazar E., Rodriguez Funes, Maria-Virginia, Beasley, Timothy, Dominguez, Ricardo L., Bravo, Luis E., and Morgan, Douglas R.

Abstract

Background: Gastric adenocarcinoma is the fourth leading cause of global cancer mortality and leading infection-associated cancer. Gastric cancer has significant geographic variability, with a high incidence in East Asia and mountainous regions of Latin America. In the United States, gastric cancer represents a marked disparity with incidence rates that are two to three times higher in Hispanics compared to non-Hispanic Whites. Methods: We conducted a national retrospective study of incident gastric cancer in El Salvador from to 2000 to 2014 to estimate the age-standardized incidence rate (ASIR) by using a combination of pathology and endoscopy databases. A unique multisectorial coalition was formed between the Ministry of Health (MINSAL) and ES Gastroenterology Society (AGEDES), representing public hospitals (n = 5), governmental employee hospitals (ISSS, n = 5), and private facilities (n = 6), accounting for >95% of national endoscopy capacity. HER2 and EBV tumor status was ascertained in a representative sample during 2014 to 2016. Results: A total of 10,039 unique cases of gastric cancer were identified, 45.5% female, and mean age of 65. 21% and 9.4% were <55 and <45 years old, respectively. ASIRs (M, F) were 18.9 (95% CI, 14.4-20.7) and 12.2 per 100,000 persons (95% CI, 10.9-13.5), respectively, in the period 2010 to 2014 with all centers operational. Intestinal gastric cancer was 2.8 times more common than diffuse gastric cancer; 23.2% had partial or complete pyloric obstruction. The HER2 2+/3+ status was 16.7% and EBV-encoded RNA positivity was 10.2%. Conclusions: A high incidence of gastric cancer was confirmed in El Salvador and nearly half of the patients were female. [ABSTRACT FROM AUTHOR]

Published
2024
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