Federated learning enables big data for rare cancer boundary detection
Authors
PATI, Sarthak, 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 (203 Czech Republic, guarantor, belonging to the institution), Filip LUX (203 Czech Republic, belonging to the institution), Jan MICHÁLEK (203 Czech Republic, belonging to the institution), Petr MATULA (203 Czech Republic, belonging to the institution), Miloš KEŘKOVSKÝ (203 Czech Republic, belonging to the institution), Tereza KOPŘIVOVÁ (203 Czech Republic, belonging to the institution), Marek DOSTÁL (203 Czech Republic, belonging to the institution), Václav VYBÍHAL (203 Czech Republic, belonging to the institution), 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, Vera FRANCO, 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
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 targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing.
Links
MUNI/A/1145/2021, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace XI. (Acronym: SV-FI MAV XI.)
Investor: Masaryk University
NU21-08-00359, research and development project
Name: Klasifikace mozkových tumorů pomocí pokročilých metod analýzy dat multimodálního MR zobrazení difuze
Investor: Ministry of Health of the CR, Classification of brain tumors using advanced techniques of multimodal diffusion MRI data, Subprogram 1 - standard
PATI, Sarthak, 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, Vera FRANCO, 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. Federated learning enables big data for rare cancer boundary detection. Nature Communications. London: Nature Publishing Group, 2022, vol. 13, No 7346, p. 1-17. ISSN 2041-1723. Available from: https://dx.doi.org/10.1038/s41467-022-33407-5.
@article{2240109, author = {Pati, Sarthak and Baid, Ujjwal and Edwards, Brandon and Sheller, Micah and Wang, ShihandHan and Reina, G Anthony and Foley, Patrick and Gruzdev, Alexey and Karkada, Deepthi and Davatzikos, Christos and Sako, Chiharu and Ghodasara, Satyam and Bilello, Michel and Mohan, Suyash and Vollmuth, Philipp and Brugnara, Gianluca and Preetha, Chandrakanth J and Sahm, Felix and MaierandHein, Klaus and Zenk, Maximilian and Bendszus, Martin and Wick, Wolfgang and Calabrese, Evan and Rudie, Jeffrey and VillanuevaandMeyer, Javier and Cha, Soonmee and Ingalhalikar, Madhura and Jadhav, Manali and Pandey, Umang and Saini, Jitender and Garrett, John and Larson, Matthew and Jeraj, Robert and Currie, Stuart and Frood, Russell and Fatania, Kavi and Huang, Raymond Y and Chang, Ken and Quintero, Carmen Balaña and Capellades, Jaume and Puig, Josep and Trenkler, Johannes and Pichler, Josef and Necker, Georg and Haunschmidt, Andreas and Meckel, Stephan and Shukla, Gaurav and Liem, Spencer and Alexander, Gregory S and Lombardo, Joseph and Palmer, Joshua D and Flanders, Adam E and Dicker, Adam P and Sair, Haris I and Jones, Craig K and Venkataraman, Archana and Jiang, Meirui and So, Tiffany Y and Chen, Cheng and Heng, Pheng Ann and Dou, Qi and Kozubek, Michal and Lux, Filip and Michálek, Jan and Matula, Petr and Keřkovský, Miloš and Kopřivová, Tereza and Dostál, Marek and Vybíhal, Václav and Vogelbaum, Michael A and Mitchell, J Ross and Farinhas, Joaquim and Maldjian, Joseph A and Yogananda, Chandan Ganesh Bangalore and Pinho, Marco C and Reddy, Divya and Holcomb, James and Wagner, Benjamin C and Ellingson, Benjamin M and Cloughesy, Timothy F and Raymond, Catalina and Oughourlian, Talia and Hagiwara, Akifumi and Wang, Chencai and To, MinhandSon and Bhardwaj, Sargam and Chong, Chee and Agzarian, Marc and Falcão, Alexandre Xavier and Martins, Samuel B and Teixeira, Bernardo C A and Sprenger, Flávia and Menotti, David and Lucio, Diego R and LaMontagne, Pamela and Marcus, Daniel and Wiestler, Benedikt and Kofler, Florian and Ezhov, Ivan and Metz, Marie and Jain, Rajan and Lee, Matthew and Lui, Yvonne W and McKinley, Richard and Slotboom, Johannes and Radojewski, Piotr and Meier, Raphael and Wiest, Roland and Murcia, Derrick and Fu, Eric and Haas, Rourke and Thompson, John and Ormond, David Ryan and Badve, Chaitra and Sloan, Andrew E and Vadmal, Vachan and Waite, Kristin and Colen, Rivka R and Pei, Linmin and Ak, Murat and Srinivasan, Ashok and Bapuraj, J Rajiv and Rao, Arvind and Wang, Nicholas and Yoshiaki, Ota and Moritani, Toshio and Turk, Sevcan and Lee, Joonsang and Prabhudesai, Snehal and Morón, Fanny and Mandel, Jacob and Kamnitsas, Konstantinos and Glocker, Ben and Dixon, Luke V M and Williams, Matthew and Zampakis, Peter and Panagiotopoulos, Vasileios and Tsiganos, Panagiotis and Alexiou, Sotiris and Haliassos, Ilias and Zacharaki, Evangelia I and Moustakas, Konstantinos and Kalogeropoulou, Christina and Kardamakis, Dimitrios M and Choi, Yoon Seong and Lee, SeungandKoo and Chang, Jong Hee and Ahn, Sung Soo and Luo, Bing and Poisson, Laila and Wen, Ning and Tiwari, Pallavi and Verma, Ruchika and Bareja, Rohan and Yadav, Ipsa and Chen, Jonathan and Kumar, Neeraj and Smits, Marion and van der Voort, Sebastian R and Alafandi, Ahmed and Incekara, Fatih and Wijnenga, Maarten M J and Kapsas, Georgios and Gahrmann, Renske and Schouten, Joost W and Dubbink, Hendrikus J and Vincent, Arnaud J P E and van den Bent, Martin J and French, Pim J and Klein, Stefan and Yuan, Yading and Sharma, Sonam and Tseng, TzuandChi and Adabi, Saba and Niclou, Simone P and Keunen, Olivier and Hau, AnnandChristin and Vallières, Martin and Fortin, David and Lepage, Martin and Landman, Bennett and Ramadass, Karthik and Xu, Kaiwen and Chotai, Silky and Chambless, Lola B and Mistry, Akshitkumar and Thompson, Reid C and Gusev, Yuriy and Bhuvaneshwar, Krithika and Sayah, Anousheh et al.}, article_location = {London}, article_number = {7346}, doi = {http://dx.doi.org/10.1038/s41467-022-33407-5}, keywords = {Biomedical engineering; CNS cancer; Computer science; Medical imaging; Medical research}, language = {eng}, issn = {2041-1723}, journal = {Nature Communications}, title = {Federated learning enables big data for rare cancer boundary detection}, url = {https://www.nature.com/articles/s41467-022-33407-5}, volume = {13}, year = {2022} }
TY - JOUR ID - 2240109 AU - Pati, Sarthak - Baid, Ujjwal - Edwards, Brandon - Sheller, Micah - Wang, Shih-Han - Reina, G Anthony - Foley, Patrick - Gruzdev, Alexey - Karkada, Deepthi - Davatzikos, Christos - Sako, Chiharu - Ghodasara, Satyam - Bilello, Michel - Mohan, Suyash - Vollmuth, Philipp - Brugnara, Gianluca - Preetha, Chandrakanth J - Sahm, Felix - Maier-Hein, Klaus - Zenk, Maximilian - Bendszus, Martin - Wick, Wolfgang - Calabrese, Evan - Rudie, Jeffrey - Villanueva-Meyer, Javier - Cha, Soonmee - Ingalhalikar, Madhura - Jadhav, Manali - Pandey, Umang - Saini, Jitender - Garrett, John - Larson, Matthew - Jeraj, Robert - Currie, Stuart - Frood, Russell - Fatania, Kavi - Huang, Raymond Y - Chang, Ken - Quintero, Carmen Balaña - Capellades, Jaume - Puig, Josep - Trenkler, Johannes - Pichler, Josef - Necker, Georg - Haunschmidt, Andreas - Meckel, Stephan - Shukla, Gaurav - Liem, Spencer - Alexander, Gregory S - Lombardo, Joseph - Palmer, Joshua D - Flanders, Adam E - Dicker, Adam P - Sair, Haris I - Jones, Craig K - Venkataraman, Archana - Jiang, Meirui - So, Tiffany Y - Chen, Cheng - Heng, Pheng Ann - Dou, Qi - Kozubek, Michal - Lux, Filip - Michálek, Jan - Matula, Petr - Keřkovský, Miloš - Kopřivová, Tereza - Dostál, Marek - Vybíhal, Václav - Vogelbaum, Michael A - Mitchell, J Ross - Farinhas, Joaquim - Maldjian, Joseph A - Yogananda, Chandan Ganesh Bangalore - Pinho, Marco C - Reddy, Divya - Holcomb, James - Wagner, Benjamin C - Ellingson, Benjamin M - Cloughesy, Timothy F - Raymond, Catalina - Oughourlian, Talia - Hagiwara, Akifumi - Wang, Chencai - To, Minh-Son - Bhardwaj, Sargam - Chong, Chee - Agzarian, Marc - Falcão, Alexandre Xavier - Martins, Samuel B - Teixeira, Bernardo C A - Sprenger, Flávia - Menotti, David - Lucio, Diego R - LaMontagne, Pamela - Marcus, Daniel - Wiestler, Benedikt - Kofler, Florian - Ezhov, Ivan - Metz, Marie - Jain, Rajan - Lee, Matthew - Lui, Yvonne W - McKinley, Richard - Slotboom, Johannes - Radojewski, Piotr - Meier, Raphael - Wiest, Roland - Murcia, Derrick - Fu, Eric - Haas, Rourke - Thompson, John - Ormond, David Ryan - Badve, Chaitra - Sloan, Andrew E - Vadmal, Vachan - Waite, Kristin - Colen, Rivka R - Pei, Linmin - Ak, Murat - Srinivasan, Ashok - Bapuraj, J Rajiv - Rao, Arvind - Wang, Nicholas - Yoshiaki, Ota - Moritani, Toshio - Turk, Sevcan - Lee, Joonsang - Prabhudesai, Snehal - Morón, Fanny - Mandel, Jacob - Kamnitsas, Konstantinos - Glocker, Ben - Dixon, Luke V M - Williams, Matthew - Zampakis, Peter - Panagiotopoulos, Vasileios - Tsiganos, Panagiotis - Alexiou, Sotiris - Haliassos, Ilias - Zacharaki, Evangelia I - Moustakas, Konstantinos - Kalogeropoulou, Christina - Kardamakis, Dimitrios M - Choi, Yoon Seong - Lee, Seung-Koo - Chang, Jong Hee - Ahn, Sung Soo - Luo, Bing - Poisson, Laila - Wen, Ning - Tiwari, Pallavi - Verma, Ruchika - Bareja, Rohan - Yadav, Ipsa - Chen, Jonathan - Kumar, Neeraj - Smits, Marion - van der Voort, Sebastian R - Alafandi, Ahmed - Incekara, Fatih - Wijnenga, Maarten M J - Kapsas, Georgios - Gahrmann, Renske - Schouten, Joost W - Dubbink, Hendrikus J - Vincent, Arnaud J P E - van den Bent, Martin J - French, Pim J - Klein, Stefan - Yuan, Yading - Sharma, Sonam - Tseng, Tzu-Chi - Adabi, Saba - Niclou, Simone P - Keunen, Olivier - Hau, Ann-Christin - Vallières, Martin - Fortin, David - Lepage, Martin - Landman, Bennett - Ramadass, Karthik - Xu, Kaiwen - Chotai, Silky - Chambless, Lola B - Mistry, Akshitkumar - Thompson, Reid C - Gusev, Yuriy - Bhuvaneshwar, Krithika - Sayah, Anousheh et al. PY - 2022 TI - Federated learning enables big data for rare cancer boundary detection JF - Nature Communications VL - 13 IS - 7346 SP - 1-17 EP - 1-17 PB - Nature Publishing Group SN - 20411723 KW - Biomedical engineering KW - CNS cancer KW - Computer science KW - Medical imaging KW - Medical research UR - https://www.nature.com/articles/s41467-022-33407-5 N2 - 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 targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing. ER -
PATI, Sarthak, 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, Vera FRANCO, 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. Federated learning enables big data for rare cancer boundary detection. \textit{Nature Communications}. London: Nature Publishing Group, 2022, vol.~13, No~7346, p.~1-17. ISSN~2041-1723. Available from: https://dx.doi.org/10.1038/s41467-022-33407-5.