Cervical lymph node ultrasound network model based on deep learning for diagnosing cervical lymph node metastasis of papillary thyroid carcinoma
10.13929/j.issn.1003-3289.2025.09.010
- VernacularTitle:基于深度学习颈部淋巴结超声网络模型诊断甲状腺乳头状癌颈部淋巴结转移
- Author:
Yan TIAN
1
;
Yiming LUO
;
Zixuan NIU
;
Huilin LI
;
Jianlin WANG
;
Bo ZHANG
Author Information
1. 中日友好医院超声医学科,北京 100029
- Publication Type:Journal Article
- Keywords:
thyroid cancer,papillary;
lymph nodes;
neoplasm metastasis;
ultrasonography;
deep learning
- From:
Chinese Journal of Medical Imaging Technology
2025;41(9):1502-1505
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of cervical lymph node ultrasound network model based on deep learning(DL)for diagnosing cervical lymph node metastasis of papillary thyroid carcinoma(PTC).Methods Totally 444 PTC patients with suspected cervical lymph node enlargement on ultrasonography were retrospectively enrolled and divided into metastasis group(n=253)and non-metastasis group(n=191)based on fine needle aspiration pathology and thyroglobulin detection.And 1 754 cervical lymph node ultrasonic images were divided into training set(n=1 404),validation set(n=175)and test set(n=175)at the ratio of 8∶1∶1.Ultrasonic features of cervical lymph nodes were extracted,then ultrasound network model was established using DL,and the diagnostic efficacy of this model for diagnosing lymph node metastasis was analyzed.Results The sensitivity,specificity,accuracy and area under the curve of ultrasound network model for diagnosing cervical lymph node metastasis of PTC was 93.06％,97.05％,95.04％and 0.858 in validation set,which was 86.14％,78.67％,88.49％and 0.828 in test set,respectively.Conclusion Cervical lymph node ultrasound network model based on DL was helpful for diagnosing cervical lymph node metastasis of PTC.
