Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort study

Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort study

Abstract Background This study aims to develop and validate a multi-modal machine learning model for preoperative risk stratification in papillary thyroid carcinoma (PTC), addressing limitations of current systems that rely on postoperative pathological features. Methods We analyzed 974 PTC patients...

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Bibliographic Details
Main Authors: Jia-Wei Feng, Lu Zhang, Yu-Xin Yang, Rong-Jie Qin, Shui-Qing Liu, An-Cheng Qin, Yong Jiang
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Cancer Imaging
Subjects:
Papillary thyroid carcinoma
Risk stratification
Machine learning
Radiomics
SHAP analysis
Online Access:https://doi.org/10.1186/s40644-025-00921-w
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https://doi.org/10.1186/s40644-025-00921-w

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