Medical Specialties Commons^™

Federated Learning Enables Big Data For Rare Cancer Boundary Detection, 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, Spyridon Bakas

Department of Radiation Oncology Faculty Papers

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically …

Characterizing Pulmonary Function Test Changes For Patients With Lung Cancer Treated On A 2-Institution, 4-Dimensional Computed Tomography-Ventilation Functional Avoidance Prospective Clinical Trial, Ryan C. Miller, Richard Castillo, Edward Castillo, Bernard L Jones, Moyed Miften, Brian Kavanagh, Bo Lu, Maria Werner-Wasik, Nader Ghassemi, Joseph Lombardo, Julie Barta, Inga Grills, Chad G Rusthoven, Thomas Guerrero, Yevgeniy Vinogradskiy

Department of Radiation Oncology Faculty Papers

Purpose: Four-dimensional computed tomography (4DCT)-ventilation-based functional avoidance uses 4DCT images to generate plans that avoid functional regions of the lung with the goal of reducing pulmonary toxic effects. A phase 2, multicenter, prospective study was completed to evaluate 4DCT-ventilation functional avoidance radiation therapy. The purpose of this study was to report the results for pretreatment to posttreatment pulmonary function test (PFT) changes for patients treated with functional avoidance radiation therapy.

Methods and materials: Patients with locally advanced lung cancer receiving chemoradiation were accrued. Functional avoidance plans based on 4DCT-ventilation images were generated. PFTs were obtained at baseline and 3 months …

Tumor Treating Fields With Radiation For Glioblastoma: A Narrative Review, Ryan C. Miller, Muneeb Khan Niazi, Olga Russial, Spencer Poiset, Wenyin Shi

Department of Radiation Oncology Faculty Papers

Background and objective: With a phase 3 clinical trial (EF-32, ClinicalTrials.gov: NCT04471844) currently underway examining the potential benefit of concurrent chemoradiation and tumor treating fields (TTFields) for patients with glioblastoma (GBM), we present the following narrative review to highlight the current evidence that supports this approach. The current management paradigm for GBM includes maximal safe surgical resection followed by concurrent chemoradiation with further temozolomide (TMZ) and TTFields used as maintenance therapy. Despite several treatment advances over the past few decades, the overall prognosis remains poor and new strategies are currently under investigation, including the use of chemoradiation concurrently with …

Diffusing Alpha-Emitters Radiation Therapy In Combination With Temozolomide Or Bevacizumab In Human Glioblastoma Multiforme Xenografts, Yossi Nishri, Maayan Vatarescu, Ishai Luz, Lior Epstein, Mirta Dumančić, Sara Del Mare, Amit Shai, Michael Schmidt, Lisa Deutsch, Robert Den, Itzhak Kelson, Yona Keisari, Lior Arazi, Tomer Cooks, Vered Domankevich

Department of Radiation Oncology Faculty Papers

Glioblastoma multiforme (GBM) is at present an incurable disease with a 5-year survival rate of 5.5%, despite improvements in treatment modalities such as surgery, radiation therapy, chemotherapy [e.g., temozolomide (TMZ)], and targeted therapy [e.g., the antiangiogenic agent bevacizumab (BEV)]. Diffusing alpha-emitters radiation therapy (DaRT) is a new modality that employs radium-224-loaded seeds that disperse alpha-emitting atoms inside the tumor. This treatment was shown to be effective in mice bearing human-derived GBM tumors. Here, the effect of DaRT in combination with standard-of-care therapies such as TMZ or BEV was investigated. In a viability assay, the combination of alpha radiation with TMZ …

Variation In Molecularly Defined Prostate Tumor Subtypes By Self-Identified Race, Kevin H. Kensler, H. Lee Moffitt Cancer Center And Research Institute, Mohamed Alshalalfa, Bruce J. Trock, Stephen J. Freedland, Michael R. Freeman, Sungyong You, Brandon A. Mahal, Robert Den, Adam Dicker, R. Jeffrey Karnes, Eric A. Klein, Priti Lal, Yang Liu, Elai Davicioni, Walter Rayford, Kosj Yamoah, Timothy R. Rebbeck

Department of Radiation Oncology Faculty Papers

Background: Socioeconomic and health care utilization factors are major drivers of prostate cancer (PC) mortality disparities in the USA; however, tumor molecular heterogeneity may also contribute to the higher mortality among Black men. Objective: To compare differences in PC subtype frequency and genomic aggressiveness by self-identified race. Design, setting, and participants: Five molecular subtype classifiers were applied for 426 Black and 762 White PC patients in the Decipher Genomics Resource Information Database (GRID). Outcome measurements and statistical analysis: Differences in subtype frequency and tumor genomic risk (Decipher score >0.6) by race were evaluated using χ2 tests and multivariable-adjusted logistic regression …

Coeliac Plexus Radiosurgery For Pain Management In Patients With Advanced Cancer : Study Protocol For A Phase Ii Clinical Trial, Galia Jacobson, Ronen Fluss, Amira Dany-Benshushan, Talia Golan, Tikva Meron, Camilla Zimmermann, Laura A Dawson, Aisling Barry, Marcin Miszczyk, Michael Buckstein, Dayssy Diaz Pardo, Artur Aguiar, Liat Hammer, Adam Dicker, Maoz Ben-Ailan, Ofir Morag, David Hausner, Zvi Symon, Yaacov R Lawrence

Department of Radiation Oncology Faculty Papers

Introduction: Pancreatic cancer is characterised by severe mid-back and epigastric pain caused by tumour invasion of the coeliac nerve plexus. This pain is often poorly managed with standard treatments. This clinical trial investigates a novel approach in which high-dose radiation (radiosurgery) is targeted to the retroperitoneal coeliac plexus nerve bundle. Preliminary results from a single institution pilot trial are promising: pain relief is substantial and side effects minimal. The goals of this study are to validate these findings in an international multisetting, and investigate the impact on quality of life and functional status among patients with terminal cancer.

Methods and …

Clinical Evaluation Of An Auto-Segmentation Tool For Spine Sbrt Treatment, Yingxuan Chen, Yevgeniy Vinogradskiy, Yan Yu, Wenyin Shi, Haisong Lui

Department of Radiation Oncology Faculty Papers

Purpose: Spine SBRT target delineation is time-consuming due to the complex bone structure. Recently, Elements SmartBrush Spine (ESS) was developed by Brainlab to automatically generate a clinical target volume (CTV) based on gross tumor volume (GTV). The aim of this project is to evaluate the accuracy and efficiency of ESS auto-segmentation.

Methods: Twenty spine SBRT patients with 21 target sites treated at our institution were used for this retrospective comparison study. Planning CT/MRI images and physician-drawn GTVs were inputs for ESS. ESS can automatically segment the vertebra, split the vertebra into 6 sectors, and generate a CTV based on the …

Clinical Evaluation Of An Auto-Segmentation Tool For Spine Sbrt Treatment., Yingxuan Chen, Yevgeniy Vinogradskiy, Yan Yu, Wenyin Shi, Haisong Liu

Department of Radiation Oncology Faculty Papers

Purpose: Spine SBRT target delineation is time-consuming due to the complex bone structure. Recently, Elements SmartBrush Spine (ESS) was developed by Brainlab to automatically generate a clinical target volume (CTV) based on gross tumor volume (GTV). The aim of this project is to evaluate the accuracy and efficiency of ESS auto-segmentation.

Methods: Twenty spine SBRT patients with 21 target sites treated at our institution were used for this retrospective comparison study. Planning CT/MRI images and physician-drawn GTVs were inputs for ESS. ESS can automatically segment the vertebra, split the vertebra into 6 sectors, and generate a CTV based on the …

Multi-Center Planning Study Of Radiosurgery For Intracranial Metastases Through Automation (Mc-Prima) By Crowdsourcing Prior Web-Based Plan Challenge Study, M K H Chan, T Gevaert, N Kadoya, J Dorr, R Leung, S Alheet, A Toutaoui, R Farias, M Wong, C Skourou, M Valenti, I Farré, C Otero-Martínez, D O'Doherty, J Waldron, S Hanvey, M Grohmann, Haisong Lui

Department of Radiation Oncology Faculty Papers

Background: Planning radiosurgery to multiple intracranial metastases is complex and shows large variability in dosimetric quality among planners and treatment planning systems (TPS). This project aimed to determine whether autoplanning using the Muliple Brain Mets (AutoMBM) software can improve plan quality and reduce inter-planner variability by crowdsourcing results from prior international planning study.

Methods: Twenty-four institutions autoplanned with AutoMBM on a five metastases case from a prior international planning competition from which population statistics (means and variances) of 23 dosimetric metrics and resulting composite plan score (maximum score = 150) of other TPS (Eclipse, Monaco, RayStation, iPlan, GammaPlan, MultiPlan) were …

Chronoradiobiology Of Breast Cancer: The Time Is Now To Link Circadian Rhythm And Radiation Biology, Nicolas Nelson, Joseph Lombardo, Lauren Matlack, Alexandria Smith, Kamryn Hines, Wenyin Shi, Nicole L Simone

Department of Radiation Oncology Faculty Papers

Circadian disruption has been linked to cancer development, progression, and radiation response. Clinical evidence to date shows that circadian genetic variation and time of treatment affect radiation response and toxicity for women with breast cancer. At the molecular level, there is interplay between circadian clock regulators such as PER1, which mediates ATM and p53-mediated cell cycle gating and apoptosis. These molecular alterations may govern aggressive cancer phenotypes, outcomes, and radiation response. Exploiting the various circadian clock mechanisms may enhance the therapeutic index of radiation by decreasing toxicity, increasing disease control, and improving outcomes. We will review the body’s natural circadian …

Corrigendum To: Impact Of Lymphopenia On Survival For Elderly Patients With Glioblastoma: A Secondary Analysis Of The Cctg Ce.6 (Eortc 26062-22061, Trog 08.02) Randomized Clinical Trial., Andrew J Song, Keyue Ding, Iyad Alnahhas, Normand J Laperriere, James Perry, Warren P Mason, Chad Winch, Chris J O'Callaghan, Johan J Menten, Alba A Brandes, Claire Phillips, Michael F Fay, Ryo Nishikawa, David Osoba, J Gregory Cairncross, Wilson Roa, Wolfgang Wick, Wenyin Shi

Department of Radiation Oncology Faculty Papers

[This corrects the article DOI: 10.1093/noajnl/vdab153.].