Using a Recurrent Neural Network To Inform the Use of Prostate-specific Antigen (PSA) and PSA Density for Dynamic Monitoring of the Risk of Prostate Cancer Progression on Active Surveillance

European Urology Open Science - Tập 52 - Trang 36-39 - 2023
Nikita Sushentsev1, Luis Abrego2, Anna Colarieti1,3, Nimalan Sanmugalingam1, Arnaldo Stanzione1,4, Jeries Paolo Zawaideh1,5, Iztok Caglic1, Alexey Zaikin2,6, Oleg Blyuss7,8, Tristan Barrett1
1Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
2Department of Women's Cancer, Institute for Women's Health, University College London, London, UK
3Unit of Radiology, IRCCS Policlinico San Donato, Milan, Italy
4Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples, Italy
5Department of Radiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
6Department of Mathematics, University College London, London, UK
7Wolfson Institute of Population Health, Queen Mary University of London, London, UK
8Department of Paediatrics and Paediatric Infectious Diseases, Sechenov First Moscow State Medical University, Moscow, Russia

Tài liệu tham khảo

Fletcher, 2020, Contemporary national trends in prostate cancer risk profile at diagnosis, Prostate Cancer Prostat Dis, 23, 81, 10.1038/s41391-019-0157-y Moore, 2023, Best current practice and research priorities in active surveillance for prostate cancer—a report of a Movember international consensus meeting, Eur Urol Oncol, 10.1016/j.euo.2023.01.003 Bangma, 2022, Magnetic resonance imaging-based monitoring in active surveillance: are we ready to jump on the bandwagon?, Eur Urol Open Sci, 38, 49, 10.1016/j.euros.2022.02.001 Caglic, 2020, MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance, Eur Radiol, 31, 2696, 10.1007/s00330-020-07336-0 Giganti, 2020, Natural history of prostate cancer on active surveillance: stratification by MRI using the PRECISE recommendations in a UK cohort, Eur Radiol, 31, 1644, 10.1007/s00330-020-07256-z Stavrinides, 2021, Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models, Prostate Cancer Prostat Dis, 24, 1028, 10.1038/s41391-021-00373-w Turkbey, 2019, Prostate Imaging Reporting and Data System version 2.1: 2019 update of Prostate Imaging Reporting and Data System version 2, Eur Urol, 76, 340, 10.1016/j.eururo.2019.02.033 Sushentsev, 2023, Time series radiomics for the prediction of prostate cancer progression in patients on active surveillance, Eur Radiol, 10.1007/s00330-023-09438-x Moore, 2017, Reporting magnetic resonance imaging in men on active surveillance for prostate cancer: the PRECISE recommendations—a report of a European School of Oncology task force, Eur Urol, 71, 648, 10.1016/j.eururo.2016.06.011 Wasserman, 2020, Measurement of prostate volume with MRI (a guide for the perplexed): biproximate method with analysis of precision and accuracy, Sci Rep, 10, 575, 10.1038/s41598-019-57046-x
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European Urology Open Science

Tập 52

36-39

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