MesoRet: a reticulin stain-based deep learning algorithm to assist diffuse mesothelioma subtyping.

Giulia Orlando¹, Anna Paola Ferrero², Giorgia Andrea Impalà², Alessandra Pittaro³, Luisa Delsedime³, Rute Pedrosa⁴, Darshan Kumar⁴, Luisella Righi¹, Giuseppe Pelosi⁵, Mauro Giulio Papotti¹, Eleonora Duregon¹

¹Department of Oncology, University of Turin, Turin, Italy.

²Department of Medical Science, University of Turin, Turin, Italy.

³Pathology Unit, Città della Salute e della Scienza Hospital, Turin, Italy.

⁴Aiforia Technologies Plc, Helsinki, Finland.

⁵Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.

PubMed PMC DOI PDF

Abstract

OBJECTIVE: To develop and validate a deep learning model trained on reticulin-stained whole slide images (MesoRet) to accurately identify transitional features and assist in the histologic subtyping of diffuse mesothelioma. METHODS: A total of 115 cases of diffuse mesothelioma were collected from two institutions and reviewed by expert thoracic pathologists. Reticulin-stained whole-slide images w…

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