Machine learning-based prediction of central lymph node metastasis in unifocal papillary thyroid microcarcinoma

The ML model showed strong potential for predicting CLNM in PTMC, and interpretability analysis enhanced model transparency. These findings provide valuable support for personalized treatment strategies in clinical practice.

Authors

Publication Details

Journal
Future Oncology
Published
2026-01-22
DOI
https://doi.org/10.1080/14796694.2026.2619126
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine learning-based prediction of central lymph node metastasis in unifocal papillary thyroid microcarcinoma

Piaofei Chen, Yating Ruan, Di Wang, Xiaoyu Zhou et al.
Future Oncology
Thyroid Cancer Diagnosis and Treatment
article

Machine learning-based prediction of central lymph node metastasis in unifocal papillary thyroid microcarcinoma

Piaofei Chen, Yating Ruan, Di Wang, Xiaoyu Zhou, Zhiping Wang, Xi Dai
article en

Abstract

The ML model showed strong potential for predicting CLNM in PTMC, and interpretability analysis enhanced model transparency. These findings provide valuable support for personalized treatment strategies in clinical practice.

Future OncologyVol. 22(3)
Openalex Percentile: Top 82%
Thyroid Cancer Diagnosis and Treatment
DOISourceOpenAlex
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Machine learning-based prediction of central lymph node metastasis in unifocal papillary thyroid microcarcinoma — Piaofei Chen, Yating Ruan, et al. · Future Oncology (2026) | TGRS Research Map | TGRS