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Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study

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Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study

The Lancet Oncology

Fecha de publicación: enero de 2021

DOI: https://doi.org/10.1016/S1470-2045(20)30535-0

Autores: Rikiya Yamashita, Jin Long, Teri Longacre, Lan Peng, Gerald Berry, Brock Martin, et al.

Background: Detecting microsatellite instability (MSI) in colorectal cancer is crucial for clinical decision making, as it identifies patients with differential treatment response and prognosis. Universal MSI testing is recommended, but many patients remain untested. A critical need exists for broadly accessible, cost-efficient tools to aid patient selection for testing. Here, we investigate the potential of a deep learning-based system for automated MSI prediction directly from haematoxylin and eosin (H&E)-stained whole-slide images (WSIs).

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