Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma

This study aimed to establish a new clinical-radiomics nomogram based on ultrasound (US) for cervical lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC). We collected 211 patients with PTC between June 2018 and April 2020, then we randomly divided these patients into the training set (...

Full description

Bibliographic Details
Main Authors: Liqing Jiang, Zijian Zhang, Shiyan Guo, Yongfeng Zhao, Ping Zhou
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/15/5/1613
_version_ 1797615623881097216
author Liqing Jiang
Zijian Zhang
Shiyan Guo
Yongfeng Zhao
Ping Zhou
author_facet Liqing Jiang
Zijian Zhang
Shiyan Guo
Yongfeng Zhao
Ping Zhou
author_sort Liqing Jiang
collection DOAJ
description This study aimed to establish a new clinical-radiomics nomogram based on ultrasound (US) for cervical lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC). We collected 211 patients with PTC between June 2018 and April 2020, then we randomly divided these patients into the training set (<i>n</i> = 148) and the validation set (<i>n</i> = 63). 837 radiomics features were extracted from B-mode ultrasound (BMUS) images and contrast-enhanced ultrasound (CEUS) images. The maximum relevance minimum redundancy (mRMR) algorithm, least absolute shrinkage and selection operator (LASSO) algorithm, and backward stepwise logistic regression (LR) were applied to select key features and establish a radiomics score (Radscore), including BMUS Radscore and CEUS Radscore. The clinical model and clinical-radiomics model were established using the univariate analysis and multivariate backward stepwise LR. The clinical-radiomics model was finally presented as a clinical-radiomics nomogram, the performance of which was evaluated by the receiver operating characteristic curves, Hosmer–Lemeshow test, calibration curves, and decision curve analysis (DCA). The results show that the clinical-radiomics nomogram was constructed by four predictors, including gender, age, US-reported LNM, and CEUS Radscore. The clinical-radiomics nomogram performed well in both the training set (AUC = 0.820) and the validation set (AUC = 0.814). The Hosmer–Lemeshow test and the calibration curves demonstrated good calibration. The DCA showed that the clinical-radiomics nomogram had satisfactory clinical utility. The clinical-radiomics nomogram constructed by CEUS Radscore and key clinical features can be used as an effective tool for individualized prediction of cervical LNM in PTC.
first_indexed 2024-03-11T07:29:18Z
format Article
id doaj.art-f1927805bc864dd2a9cecd1e35313c3d
institution Directory Open Access Journal
issn 2072-6694
language English
last_indexed 2024-03-11T07:29:18Z
publishDate 2023-03-01
publisher MDPI AG
record_format Article
series Cancers
spelling doaj.art-f1927805bc864dd2a9cecd1e35313c3d2023-11-17T07:26:27ZengMDPI AGCancers2072-66942023-03-01155161310.3390/cancers15051613Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid CarcinomaLiqing Jiang0Zijian Zhang1Shiyan Guo2Yongfeng Zhao3Ping Zhou4Department of Ultrasound, The Third Xiangya Hospital, Central South University, Changsha 410013, ChinaXiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha 410008, ChinaDepartment of Ultrasound, The Third Xiangya Hospital, Central South University, Changsha 410013, ChinaDepartment of Ultrasound, The Third Xiangya Hospital, Central South University, Changsha 410013, ChinaDepartment of Ultrasound, The Third Xiangya Hospital, Central South University, Changsha 410013, ChinaThis study aimed to establish a new clinical-radiomics nomogram based on ultrasound (US) for cervical lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC). We collected 211 patients with PTC between June 2018 and April 2020, then we randomly divided these patients into the training set (<i>n</i> = 148) and the validation set (<i>n</i> = 63). 837 radiomics features were extracted from B-mode ultrasound (BMUS) images and contrast-enhanced ultrasound (CEUS) images. The maximum relevance minimum redundancy (mRMR) algorithm, least absolute shrinkage and selection operator (LASSO) algorithm, and backward stepwise logistic regression (LR) were applied to select key features and establish a radiomics score (Radscore), including BMUS Radscore and CEUS Radscore. The clinical model and clinical-radiomics model were established using the univariate analysis and multivariate backward stepwise LR. The clinical-radiomics model was finally presented as a clinical-radiomics nomogram, the performance of which was evaluated by the receiver operating characteristic curves, Hosmer–Lemeshow test, calibration curves, and decision curve analysis (DCA). The results show that the clinical-radiomics nomogram was constructed by four predictors, including gender, age, US-reported LNM, and CEUS Radscore. The clinical-radiomics nomogram performed well in both the training set (AUC = 0.820) and the validation set (AUC = 0.814). The Hosmer–Lemeshow test and the calibration curves demonstrated good calibration. The DCA showed that the clinical-radiomics nomogram had satisfactory clinical utility. The clinical-radiomics nomogram constructed by CEUS Radscore and key clinical features can be used as an effective tool for individualized prediction of cervical LNM in PTC.https://www.mdpi.com/2072-6694/15/5/1613papillary thyroid carcinomacervical lymph node metastasisradiomicscontrast-enhanced ultrasoundnomogram
spellingShingle Liqing Jiang
Zijian Zhang
Shiyan Guo
Yongfeng Zhao
Ping Zhou
Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
Cancers
papillary thyroid carcinoma
cervical lymph node metastasis
radiomics
contrast-enhanced ultrasound
nomogram
title Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
title_full Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
title_fullStr Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
title_full_unstemmed Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
title_short Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
title_sort clinical radiomics nomogram based on contrast enhanced ultrasound for preoperative prediction of cervical lymph node metastasis in papillary thyroid carcinoma
topic papillary thyroid carcinoma
cervical lymph node metastasis
radiomics
contrast-enhanced ultrasound
nomogram
url https://www.mdpi.com/2072-6694/15/5/1613
work_keys_str_mv AT liqingjiang clinicalradiomicsnomogrambasedoncontrastenhancedultrasoundforpreoperativepredictionofcervicallymphnodemetastasisinpapillarythyroidcarcinoma
AT zijianzhang clinicalradiomicsnomogrambasedoncontrastenhancedultrasoundforpreoperativepredictionofcervicallymphnodemetastasisinpapillarythyroidcarcinoma
AT shiyanguo clinicalradiomicsnomogrambasedoncontrastenhancedultrasoundforpreoperativepredictionofcervicallymphnodemetastasisinpapillarythyroidcarcinoma
AT yongfengzhao clinicalradiomicsnomogrambasedoncontrastenhancedultrasoundforpreoperativepredictionofcervicallymphnodemetastasisinpapillarythyroidcarcinoma
AT pingzhou clinicalradiomicsnomogrambasedoncontrastenhancedultrasoundforpreoperativepredictionofcervicallymphnodemetastasisinpapillarythyroidcarcinoma