Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study

Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study

Abstract Existing tools for post-radical prostatectomy (RP) prostate cancer biochemical recurrence (BCR) prognosis rely on human pathologist-derived parameters such as tumor grade, with the resulting inter-reviewer variability. Genomic companion diagnostic tests such as Decipher tend to be tissue de...

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Bibliographic Details
Main Authors: Patrick Leo, Andrew Janowczyk, Robin Elliott, Nafiseh Janaki, Kaustav Bera, Rakesh Shiradkar, Xavier Farré, Pingfu Fu, Ayah El-Fahmawi, Mohammed Shahait, Jessica Kim, David Lee, Kosj Yamoah, Timothy R. Rebbeck, Francesca Khani, Brian D. Robinson, Lauri Eklund, Ivan Jambor, Harri Merisaari, Otto Ettala, Pekka Taimen, Hannu J. Aronen, Peter J. Boström, Ashutosh Tewari, Cristina Magi-Galluzzi, Eric Klein, Andrei Purysko, Natalie NC Shih, Michael Feldman, Sanjay Gupta, Priti Lal, Anant Madabhushi
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Online Access:https://doaj.org/article/16b0a7b31ab84b10952fac7e4ceade70
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