Deep learning-based multifeature integration robustly predicts central lymph node metastasis in papillary thyroid cancer.

ABSTRACT:

Background

Few highly accurate tests can diagnose central lymph node metastasis (CLNM) of papillary thyroid cancer (PTC). Genetic sequencing of tumor tissue has allowed the targeting of certain genetic variants for personalized cancer therapy development.

Methods

This study included 488 patients diagnosed with PTC by ultrasound-guided fine-needle aspiration biopsy, collected clinicopathological data, analyzed the correlation between CLNM and clinicopathological features using univariate analysis and binary logistic regression, and constructed prediction models.

Results

Binary logistic regression analysis showed that age, maximum diameter of thyroid nodules, capsular invasion, and BRAF V600E gene mutation were independent risk factors for CLNM, and statistically signif

SUBMITTER: Wang Z 

PROVIDER: S-EPMC9906958 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature