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Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

2022; Elsevier BV; Volume: 7; Issue: 2 Linguagem: Inglês

10.1016/j.esmoop.2022.100400

2059-7029

Amelie Echle, Narmin Ghaffari Laleh, Philip Quirke, Heike I. Grabsch, Hannah Sophie Muti, Oliver Lester Saldanha, Scarlet Brockmoeller, Piet A. van den Brandt, Gordon Hutchins, Susan D. Richman, Karoline Horisberger, Christian Galata, M. Ebert, Maximilian Eckardt, Michael Boutros, David Horst, Christoph Reißfelder, Elizabeth Alwers, Titus J. Brinker, Rupert Langer, Josien C.A. Jenniskens, Kelly Offermans, Wolfram Mueller, Richard Gray, Stephen B. Gruber, Joel K. Greenson, Gad Rennert, Joseph D. Bonner, Daniel Schmolze, Jenny Chang‐Claude, Hermann Brenner, Christian Trautwein, Peter Boor, D. Jaeger, Nadine T. Gaisa, Michael Hoffmeister, Nicholas P. West, Jakob Nikolas Kather,

Colorectal Cancer Treatments and Studies

Microsatellite instability (MSI)/mismatch repair deficiency (dMMR) is a key genetic feature which should be tested in every patient with colorectal cancer (CRC) according to medical guidelines. Artificial intelligence (AI) methods can detect MSI/dMMR directly in routine pathology slides, but the test performance has not been systematically investigated with predefined test thresholds.