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Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeстатья Исследовательская статья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Bulten Wouter, Kartasalo Kimmo, Chen Po-Hsuan Cameron, Ström Peter, Pinckaers Hans, Nagpal Kunal, Cai Yuannan, Steiner David F., van Boven Hester, Vink Robert, de Kaa Christina Hulsbergen-van, van der Laak Jeroen, Amin Mahul B., Evans Andrew J., van der Kwast Theodorus, Allan Robert, Humphrey Peter A., Grönberg Henrik, Samaratunga Hemamali, Delahunt Brett, Tsuzuki Toyonori, Häkkinen Tomi, Egevad Lars, Demkin Maggie, Dane Sohier, Tan Fraser, Valkonen Masi, Corrado Greg S., Peng Lily, Mermel Craig H., Ruusuvuori Pekka, Litjens Geert, Eklund Martin, Brilhante Américo, Çakır Aslı, Farré Xavier, Geronatsiou Katerina, Molinié Vincent, Pereira Guilherme, Roy Paromita, Saile Günter, Salles Paulo G.O., Schaafsma Ewout, Tschui Joëlle, Billoch-Lima Jorge, Pereira Emíio M., Zhou Ming, He Shujun, Song Sejun, Sun Qing, Yoshihara Hiroshi, Yamaguchi Taiki, Ono Kosaku, Shen Tao, Ji Jianyi, Roussel Arnaud, Zhou Kairong, Chai Tianrui, Weng Nina, Grechka Dmitry, Shugaev Maxim V., Kiminya Raphael, Kovalev Vassili, Voynov Dmitry, Malyshev Valery, Lapo Elizabeth, Campos Manuel, Ota Noriaki, Yamaoka Shinsuke, Fujimoto Yusuke, Yoshioka Kentaro, Juvonen Joni, Tukiainen Mikko, Karlsson Antti, Guo Rui, Hsieh Chia-Lun, Zubarev Igor, Bukhar Habib S.T., Li Wenyuan, Li Jiayun, Speier William, Arnold Corey, Kim Kyungdoc, Bae Byeonguk, Kim Yeong Won, Lee Hong-Seok, Park Jeonghyuk
- Журнал: Nature Medicine
- Год издания: 2022
- Издательство: Nature Publishing Group
- Местоположение издательства: United Kingdom
- DOI: 10.1038/s41591-021-01620-2
- Аннотация: Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hindered by lack of reproducibility and independent validation. With this in mind, we organized the PANDA challenge—the largest histopathology competition to date, joined by 1,290 developers—to catalyze development of reproducible AI algorithms for Gleason grading using 10,616 digitized prostate biopsies. We validated that a diverse set of submitted algorithms reached pathologist-level performance on independent cross-continental cohorts, fully blinded to the algorithm developers. On United States and European external validation sets, the algorithms achieved agreements of 0.862 (quadratically weighted κ, 95% confidence interval (CI), 0.840–0.884) and 0.868 (95% CI, 0.835–0.900) with expert uropathologists. Successful generalization across different patient populations, laboratories and reference standards, achieved by a variety of algorithmic approaches, warrants evaluating AI-based Gleason grading in prospective clinical trials.
- Добавил в систему: Гречка Дмитрий Андреевич