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Radiomics Study of Thyroid Ultrasound for Predicting BRAF Mutation in Papillary Thyroid Carcinoma: Preliminary Results

Radiomics Study of Thyroid Ultrasound for Predicting BRAF Mutation in Papillary Thyroid... ORIGINAL RESEARCH HEAD & NECK Radiomics Study of Thyroid Ultrasound for Predicting BRAF Mutation in Papillary Thyroid Carcinoma: Preliminary Results M.-r. Kwon, J.H. Shin, H. Park, H. Cho, S.Y. Hahn, and K.W. Park ABSTRACT BACKGROUND AND PURPOSE: It is not known how radiomics using ultrasound images contribute to the detection of BRAF muta- tion. This study aimed to evaluate whether a radiomics study of gray-scale ultrasound can predict the presence or absence of B- Raf proto-oncogene, serine/threonine kinase (BRAF) mutation in papillary thyroid cancer. MATERIALS AND METHODS: The study retrospectively included 96 thyroid nodules that were surgically confirmed papillary thyroid cancers between January 2012 and June 2013. BRAF mutation was positive in 48 nodules and negative in 48 nodules. For analysis, ROIs from the nodules were demarcated manually on both longitudinal and transverse sonographic images. We extracted a total of 86 radiomics features derived from histogram parameters, gray-level co-occurrence matrix, intensity size zone matrix, and shape features. These features were used to build 3 different classifier models, including logistic regression, support vector machine, and random forest using 5-fold cross-validation. The performance including accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Neuroradiology American Journal of Neuroradiology

Radiomics Study of Thyroid Ultrasound for Predicting BRAF Mutation in Papillary Thyroid Carcinoma: Preliminary Results

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References (37)

Publisher
American Journal of Neuroradiology
Copyright
© 2020 by American Journal of Neuroradiology
ISSN
0195-6108
eISSN
1936-959X
DOI
10.3174/ajnr.A6505
Publisher site
See Article on Publisher Site

Abstract

ORIGINAL RESEARCH HEAD & NECK Radiomics Study of Thyroid Ultrasound for Predicting BRAF Mutation in Papillary Thyroid Carcinoma: Preliminary Results M.-r. Kwon, J.H. Shin, H. Park, H. Cho, S.Y. Hahn, and K.W. Park ABSTRACT BACKGROUND AND PURPOSE: It is not known how radiomics using ultrasound images contribute to the detection of BRAF muta- tion. This study aimed to evaluate whether a radiomics study of gray-scale ultrasound can predict the presence or absence of B- Raf proto-oncogene, serine/threonine kinase (BRAF) mutation in papillary thyroid cancer. MATERIALS AND METHODS: The study retrospectively included 96 thyroid nodules that were surgically confirmed papillary thyroid cancers between January 2012 and June 2013. BRAF mutation was positive in 48 nodules and negative in 48 nodules. For analysis, ROIs from the nodules were demarcated manually on both longitudinal and transverse sonographic images. We extracted a total of 86 radiomics features derived from histogram parameters, gray-level co-occurrence matrix, intensity size zone matrix, and shape features. These features were used to build 3 different classifier models, including logistic regression, support vector machine, and random forest using 5-fold cross-validation. The performance including accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve,

Journal

American Journal of NeuroradiologyAmerican Journal of Neuroradiology

Published: Apr 1, 2020

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