Preoperative prediction of lymph node metastasis risk in papillary thyroid carcinoma based on multiple model comparisons.

ABSTRACT: The clinical necessity of lymph node dissection in papillary thyroid carcinoma (PTC) surgery remains contentious. This study compared four logistic regression (LR) models (with distinct feature selection strategies) and four machine learning (ML) models to preoperatively predict lymph node metastasis (LNM) risk in PTC patients, with emphasis on multidimensional evaluation and cross-populational generalizability. Data from 3,175 PTC patients (2021 cohort) were randomly split into training (70%) and testing (30%) subsets, with external validation performed using a Chinese (2024, n = 104) and a Canadian (2019-2022, n = 412) cohort. Twelve predictors were screened, and models were evaluated using metrics of discrimination (AUC), calibration (Brier Score), classification accuracy, and clinical

SUBMITTER: Zhou YY 

PROVIDER: S-EPMC12511583 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature