Highly accurate diagnosis of papillary thyroid carcinomas based on personalized pathways coupled with machine learning.

ABSTRACT: Thyroid nodules are neoplasms commonly found among adults, with papillary thyroid carcinoma (PTC) being the most prevalent malignancy. However, current diagnostic methods often subject patients to unnecessary surgical burden. In this study, we developed and validated an automated, highly accurate multi-study-derived diagnostic model for PTCs using personalized biological pathways coupled with a sophisticated machine learning algorithm. Surprisingly, the algorithm achieved near-perfect performance in discriminating PTCs from non-tumoral thyroid samples with an overall cross-study-validated area under the receiver operating characteristic curve (AUROC) of 0.999 (95% confidence interval [CI]: 0.995-1) and a Brier score of 0.013 on three independent development cohorts. In addition, the algori

SUBMITTER: Park KS 

PROVIDER: S-EPMC8599295 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature