Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma
BackgroundThe 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.MethodsA total of 328 PTMC...
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2022.915135/full |
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| author | Jiajia Tang Jiajia Tang Shitao Jiang Jiaojiao Ma Xuehua Xi Huilin Li Huilin Li Liangkai Wang Liangkai Wang Bo Zhang Bo Zhang |
| author_facet | Jiajia Tang Jiajia Tang Shitao Jiang Jiaojiao Ma Xuehua Xi Huilin Li Huilin Li Liangkai Wang Liangkai Wang Bo Zhang Bo Zhang |
| author_sort | Jiajia Tang |
| collection | DOAJ |
| description | BackgroundThe 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.MethodsA 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.ResultsMultivariate 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.ConclusionsThe US radiomics nomogram displayed better performance than the conventional US model in predicting BRAF mutation in patients with PTMC. |
| first_indexed | 2024-12-10T15:45:58Z |
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| language | English |
| last_indexed | 2024-12-10T15:45:58Z |
| publishDate | 2022-08-01 |
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| series | Frontiers in Endocrinology |
| spelling | doaj.art-a656b27366de4bd5ab78caf83a38480b2022-12-22T01:42:57ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-08-011310.3389/fendo.2022.915135915135Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinomaJiajia Tang0Jiajia Tang1Shitao Jiang2Jiaojiao Ma3Xuehua Xi4Huilin Li5Huilin Li6Liangkai Wang7Liangkai Wang8Bo Zhang9Bo Zhang10Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, ChinaDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, ChinaDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, ChinaChinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, ChinaDepartment of Ultrasound, China-Japan Friendship Hospital, Beijing, ChinaInstitute of Clinical Medicine, China-Japan Friendship Hospital, Beijing, ChinaChinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Ultrasound, China-Japan Friendship Hospital, National Center for Respiratory Medicine, National Clinical Research Centerfor Respiratory Diseases, Institute of Respiratory Medicine of Chinese Academy of Medical Sciences, Beijing, ChinaBackgroundThe 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.MethodsA 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.ResultsMultivariate 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.ConclusionsThe US radiomics nomogram displayed better performance than the conventional US model in predicting BRAF mutation in patients with PTMC.https://www.frontiersin.org/articles/10.3389/fendo.2022.915135/fullNomogramultrasound (US)radiomicsBRAF mutationpapillary thyroid microcarcinoma (PTMC) |
| spellingShingle | Jiajia Tang Jiajia Tang Shitao Jiang Jiaojiao Ma Xuehua Xi Huilin Li Huilin Li Liangkai Wang Liangkai Wang Bo Zhang Bo Zhang Nomogram based on radiomics analysis of ultrasound images can improve preoperative BRAF mutation diagnosis for papillary thyroid microcarcinoma Frontiers in Endocrinology Nomogram ultrasound (US) radiomics BRAF mutation papillary thyroid microcarcinoma (PTMC) |
| 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 | Nomogram ultrasound (US) radiomics BRAF mutation papillary thyroid microcarcinoma (PTMC) |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2022.915135/full |
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