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Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma

BACKGROUND: The preoperative identification of BRAF mutation could assist to make appropriate treatment strategies for patients with papillary thyroid microcarcinoma (PTMC). This study aimed to establish an ultrasound (US) radiomics nomogram for the assessment of BRAF status. METHODS: A total of 328...

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Autores principales: Tang, Jiajia, Jiang, Shitao, Ma, Jiaojiao, Xi, Xuehua, Li, Huilin, Wang, Liangkai, Zhang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437521/
https://www.ncbi.nlm.nih.gov/pubmed/36060960
http://dx.doi.org/10.3389/fendo.2022.915135
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author Tang, Jiajia
Jiang, Shitao
Ma, Jiaojiao
Xi, Xuehua
Li, Huilin
Wang, Liangkai
Zhang, Bo
author_facet Tang, Jiajia
Jiang, Shitao
Ma, Jiaojiao
Xi, Xuehua
Li, Huilin
Wang, Liangkai
Zhang, Bo
author_sort Tang, Jiajia
collection PubMed
description BACKGROUND: The preoperative identification of BRAF mutation could assist to make appropriate treatment strategies for patients with papillary thyroid microcarcinoma (PTMC). This study aimed to establish an ultrasound (US) radiomics nomogram for the assessment of BRAF status. METHODS: A total of 328 PTMC patients at the China-Japan Friendship Hospital between February 2019 and November 2021 were enrolled in this study. They were randomly divided into training (n = 232) and validation (n = 96) cohorts. Radiomics features were extracted from the US images. The least absolute shrinkage and selection operator (LASSO) regression was applied to select the BRAF status-related features and calculate the radiomics score (Rad-score). Univariate and multivariate logistic regression analyses were subsequently performed to identify the independent factors among Rad-score and conventional US features. The US radiomics nomogram was established and its predictive performance was evaluated via discrimination, calibration, and clinical usefulness in the training and validation sets. RESULTS: Multivariate analysis indicated that the Rad-score, composition, and aspect ratio were independent predictive factors of BRAF status. The US radiomics nomogram which incorporated the three variables showed good calibration. The discrimination of the US radiomics nomogram showed better discriminative ability than the conventional US model both in the training set (AUC 0.685 vs. 0.592) and validation set (AUC 0.651 vs. 0.622). Decision curve analysis indicated the superior clinical applicability of the nomogram compared to the conventional US model. CONCLUSIONS: The US radiomics nomogram displayed better performance than the conventional US model in predicting BRAF mutation in patients with PTMC.
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spelling pubmed-94375212022-09-03 Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma Tang, Jiajia Jiang, Shitao Ma, Jiaojiao Xi, Xuehua Li, Huilin Wang, Liangkai Zhang, Bo Front Endocrinol (Lausanne) Endocrinology BACKGROUND: The preoperative identification of BRAF mutation could assist to make appropriate treatment strategies for patients with papillary thyroid microcarcinoma (PTMC). This study aimed to establish an ultrasound (US) radiomics nomogram for the assessment of BRAF status. METHODS: A total of 328 PTMC patients at the China-Japan Friendship Hospital between February 2019 and November 2021 were enrolled in this study. They were randomly divided into training (n = 232) and validation (n = 96) cohorts. Radiomics features were extracted from the US images. The least absolute shrinkage and selection operator (LASSO) regression was applied to select the BRAF status-related features and calculate the radiomics score (Rad-score). Univariate and multivariate logistic regression analyses were subsequently performed to identify the independent factors among Rad-score and conventional US features. The US radiomics nomogram was established and its predictive performance was evaluated via discrimination, calibration, and clinical usefulness in the training and validation sets. RESULTS: Multivariate analysis indicated that the Rad-score, composition, and aspect ratio were independent predictive factors of BRAF status. The US radiomics nomogram which incorporated the three variables showed good calibration. The discrimination of the US radiomics nomogram showed better discriminative ability than the conventional US model both in the training set (AUC 0.685 vs. 0.592) and validation set (AUC 0.651 vs. 0.622). Decision curve analysis indicated the superior clinical applicability of the nomogram compared to the conventional US model. CONCLUSIONS: The US radiomics nomogram displayed better performance than the conventional US model in predicting BRAF mutation in patients with PTMC. Frontiers Media S.A. 2022-08-19 /pmc/articles/PMC9437521/ /pubmed/36060960 http://dx.doi.org/10.3389/fendo.2022.915135 Text en Copyright © 2022 Tang, Jiang, Ma, Xi, Li, Wang and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Tang, Jiajia
Jiang, Shitao
Ma, Jiaojiao
Xi, Xuehua
Li, Huilin
Wang, Liangkai
Zhang, Bo
Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma
title Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma
title_full Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma
title_fullStr Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma
title_full_unstemmed Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma
title_short Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma
title_sort nomogram based on radiomics analysis of ultrasound images can improve preoperative braf mutation diagnosis for papillary thyroid microcarcinoma
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437521/
https://www.ncbi.nlm.nih.gov/pubmed/36060960
http://dx.doi.org/10.3389/fendo.2022.915135
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