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Virchows Archiv
Published in: Virchows Archiv 3/2021

Open Access 01-09-2021 | Lymphoma | Brief Report

Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma

Authors: Zaneta Swiderska-Chadaj, Konnie M. Hebeda, Michiel van den Brand, Geert Litjens

Published in: Virchows Archiv | Issue 3/2021

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Abstract

In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classification, and prognostic factors, including genetic changes. We developed a deep learning algorithm to detect MYC rearrangement in scanned histological slides of diffuse large B-cell lymphoma. The H&E-stained slides of 287 cases from 11 hospitals were used for training and evaluation. The overall sensitivity to detect MYC rearrangement was 0.93 and the specificity 0.52, showing that prediction of MYC translocation based on morphology alone was possible in 93% of MYC-rearranged cases. This would allow a simple and fast prescreening, saving approximately 34% of genetic tests with the current algorithm.
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Metadata
Title
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma
Authors
Zaneta Swiderska-Chadaj
Konnie M. Hebeda
Michiel van den Brand
Geert Litjens
Publication date
01-09-2021
Publisher
Springer Berlin Heidelberg
Published in
Virchows Archiv / Issue 3/2021
Print ISSN: 0945-6317
Electronic ISSN: 1432-2307
DOI
https://doi.org/10.1007/s00428-020-02931-4

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