Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images.

ABSTRACT: Background and objectives: Telomerase reverse transcriptase (TERT) promoter mutation, found in a subset of patients with thyroid cancer, is strongly associated with aggressive biologic behavior. Predicting TERT promoter mutation is thus necessary for the prognostic stratification of thyroid cancer patients. Materials and Methods: In this study, we evaluate TERT promoter mutation status in thyroid cancer through the deep learning approach using histologic images. Our analysis included 13 consecutive surgically resected thyroid cancers with TERT promoter mutations (either C228T or C250T) and 12 randomly selected surgically resected thyroid cancers with a wild-type TERT promoter. Our deep learning model was created using a two-step cascade appr

SUBMITTER: Kim J 

PROVIDER: S-EPMC10055833 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature