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用于预测临床淋巴结阴性甲状腺微小乳头状癌中央区淋巴结转移的超声影像组学特征

Ultrasound radiomics signature for predicting central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma.

作者信息

Liu Jie, Yu Jingchao, Wei Yanan, Li Wei, Lu Jinle, Chen Yating, Wang Meng

机构信息

Department of Head and Neck Thyroid Surgery, Cangzhou Hospital of Integrated TCM-WM·Hebei, No.31 Huanghe West Road, 061000, Cangzhou, Hebei Province, China.

Department of TCM Internal Medicine, Cangzhou Hospital of Integrated TCM-WM·Hebei, 061000, Cangzhou, China.

出版信息

Thyroid Res. 2024 Feb 19;17(1):4. doi: 10.1186/s13044-024-00191-x.


DOI:10.1186/s13044-024-00191-x
PMID:38369523
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10875890/
Abstract

BACKGROUND: Whether prophylactic central lymph node dissection is necessary for patients with clinically node-negative (cN0) papillary thyroid microcarcinoma (PTMC) remains controversial. Herein, we aimed to establish an ultrasound (US) radiomics (Rad) score for assessing the probability of central lymph node metastasis (CLNM) in such patients. METHODS: 480 patients (327 in the training cohort, 153 in the validation cohort) who underwent thyroid surgery for cN0 PTMC at two institutions between January 2018 and December 2020 were included. Radiomics features were extracted from the US images. Least absolute shrinkage and selection operator logistic regression were utilized to generate a Rad score. A nomogram consisting of the Rad score and clinical factors was then constructed for the training cohort. Both cohorts assessed model performance using discrimination, calibration, and clinical usefulness. RESULTS: Based on the six most valuable radiomics features, the Rad score was calculated for each patient. A multivariate analysis revealed that a higher Rad score (P < 0.001), younger age (P = 0.006), and presence of capsule invasion (P = 0.030) were independently associated with CLNM. A nomogram integrating these three factors demonstrated good calibration and promising clinical utility in the training and validation cohorts. The nomogram yielded areas under the curve of 0.795 (95% confidence interval [CI], 0.745-0.846) and 0.774 (95% CI, 0.696-0.852) in the training and validation cohorts, respectively. CONCLUSIONS: The radiomics nomogram may be a clinically useful tool for the individual prediction of CLNM in patients with cN0 PTMC.

摘要

背景:对于临床淋巴结阴性(cN0)的甲状腺微小乳头状癌(PTMC)患者,预防性中央淋巴结清扫术是否必要仍存在争议。在此,我们旨在建立一种超声(US)影像组学(Rad)评分,以评估此类患者中央淋巴结转移(CLNM)的概率。 方法:纳入2018年1月至2020年12月期间在两家机构接受cN0 PTMC甲状腺手术的480例患者(训练队列327例,验证队列153例)。从US图像中提取影像组学特征。采用最小绝对收缩和选择算子逻辑回归生成Rad评分。然后为训练队列构建一个由Rad评分和临床因素组成的列线图。两个队列均使用区分度、校准度和临床实用性来评估模型性能。 结果:基于六个最有价值的影像组学特征,为每位患者计算Rad评分。多变量分析显示,较高的Rad评分(P < 0.001)、较年轻的年龄(P = 0.006)和存在包膜侵犯(P = 0.030)与CLNM独立相关。整合这三个因素的列线图在训练和验证队列中显示出良好的校准度和有前景的临床实用性。该列线图在训练队列和验证队列中的曲线下面积分别为0.795(95%置信区间[CI],0.745 - 0.846)和0.774(95%CI,0.696 - 0.852)。 结论:影像组学列线图可能是一种临床上有用的工具,用于对cN0 PTMC患者的CLNM进行个体预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95ff/10875890/76444b0c41ea/13044_2024_191_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95ff/10875890/7b5386ad0df9/13044_2024_191_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95ff/10875890/7589c76c0ba3/13044_2024_191_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95ff/10875890/76444b0c41ea/13044_2024_191_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95ff/10875890/7b5386ad0df9/13044_2024_191_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95ff/10875890/7589c76c0ba3/13044_2024_191_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95ff/10875890/76444b0c41ea/13044_2024_191_Fig3_HTML.jpg

相似文献

[1]
Ultrasound radiomics signature for predicting central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma.

Thyroid Res. 2024-2-19

[2]
A nomogram based on ultrasound radiomics for predicting the invasiveness of cN0 single papillary thyroid microcarcinoma.

Gland Surg. 2023-12-26

[3]
Development and Validation of a Computed Tomography-Based Radiomics Nomogram for the Preoperative Prediction of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma.

Acad Radiol. 2024-5

[4]
A Nomogram Based on Clinicopathological and Ultrasound Imaging Characteristics for Predicting Cervical Lymph Node Metastasis in cN0 Unilateral Papillary Thyroid Microcarcinoma.

Front Surg. 2021-12-3

[5]
Development and Validation of Clinical-Radiomics Nomogram for Preoperative Prediction of Central Lymph Node Metastasis in Papillary Thyroid Carcinoma.

Acad Radiol. 2024-6

[6]
Nomogram Based on Shear-Wave Elastography Radiomics Can Improve Preoperative Cervical Lymph Node Staging for Papillary Thyroid Carcinoma.

Thyroid. 2020-6

[7]
Web-Based Ultrasonic Nomogram Predicts Preoperative Central Lymph Node Metastasis of cN0 Papillary Thyroid Microcarcinoma.

Front Endocrinol (Lausanne). 2021

[8]
Radiomics features from whole thyroid gland tissue for prediction of cervical lymph node metastasis in the patients with papillary thyroid carcinoma.

J Cancer Res Clin Oncol. 2023-11

[9]
Prediction of central lymph node metastasis in patients with papillary thyroid microcarcinoma by gradient-boosting decision tree model based on ultrasound radiomics and clinical features.

Gland Surg. 2023-12-26

[10]
A model based on ultrasound and clinical factors to predict central lymph node metastasis in cN0 papillary thyroid microcarcinoma.

Heliyon. 2024-6-28

本文引用的文献

[1]
Construction of a comprehensive predictive model for axillary lymph node metastasis in breast cancer: a retrospective study.

BMC Cancer. 2023-10-24

[2]
Predictive Value of Ultrasound Imaging Characteristics and a BRAF V600E Nomogram for Central Lymph Node Metastasis Risk in Papillary Thyroid Microcarcinoma.

Altern Ther Health Med. 2023-11

[3]
Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis.

BMC Med Imaging. 2023-8-24

[4]
Predictive nomogram for central lymph node metastasis in papillary thyroid microcarcinoma based on pathological and ultrasound features.

Front Endocrinol (Lausanne). 2023

[5]
MRI radiomics signature to predict lymph node metastasis after neoadjuvant chemoradiation therapy in locally advanced rectal cancer.

Abdom Radiol (NY). 2023-7

[6]
A LASSO-based model to predict central lymph node metastasis in preoperative patients with cN0 papillary thyroid cancer.

Front Oncol. 2023-1-25

[7]
Radiomics signature for prediction of long-term survival and recurrence patterns in patients with gastric cancer after radical gastrectomy: A multicenter study.

Saudi J Gastroenterol. 2023

[8]
Clinical and ultrasonic risk factors for high-volume central lymph node metastasis in cN0 papillary thyroid microcarcinoma: A retrospective study and meta-analysis.

Clin Endocrinol (Oxf). 2023-4

[9]
Prediction of Central Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma by CT Radiomics.

Acad Radiol. 2023-7

[10]
Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma.

Radiology. 2023-1

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