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Anna Guerra, M. Sapio, V. Marotta, E. Campanile, S. Rossi, I. Forno, L. Fugazzola, A. Budillon, T. Moccia, G. Fenzi, M. Vitale (2012)
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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,
American Journal of Neuroradiology – American Journal of Neuroradiology
Published: Apr 1, 2020
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