Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning.

ABSTRACT:

Background & aims

Microsatellite instability (MSI) and mismatch-repair deficiency (dMMR) in colorectal tumors are used to select treatment for patients. Deep learning can detect MSI and dMMR in tumor samples on routine histology slides faster and less expensively than molecular assays. However, clinical application of this technology requires high performance and multisite validation, which have not yet been performed.

Methods

We collected H&E-stained slides and findings from molecular analyses for MSI and dMMR from 8836 colorectal tumors (of all stages) included in the MSIDETECT consortium study, from Germany, the Netherlands, the United Kingdom, and the United States. Specimens with dMMR were identified by immunohistochemistry analyses of tissue microarrays for loss of MLH

SUBMITTER: Echle A 

PROVIDER: S-EPMC7578071 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature