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Computerized analysis of calcification of thyroid nodules as visualized by ultrasonography

Title
Computerized analysis of calcification of thyroid nodules as visualized by ultrasonography
Author
박정선
Keywords
Thyroid; Ultrasonography; Computerized analysis; Neural network
Issue Date
2015-10
Publisher
ELSEVIER IRELAND LTD
Citation
EUROPEAN JOURNAL OF RADIOLOGY, v. 84, NO 10, Page. 1949-1953
Abstract
Objective: The purpose of this study is to quantify computerized calcification features from ultrasonography (US) images of thyroid nodules in order to determine the ability to differentiate between malignant and benign thyroid nodules. Methods: We designed and implemented a computerized analysis scheme to quantitatively analyze the US features of the calcified thyroid nodules from 99 pathologically determined calcified thyroid nodules. Uni-variate analysis was used to identify features that were significantly associated with tumor malignancy, and neural-network analysis was performed to classify tumors as benign or malignant. The diagnostic performance of the neural network was evaluated using receiver operating characteristic (ROC) analysis, where in the area under the ROC curve (A(z)) summarized the diagnostic performance of specific calcification features. Results: The performance values for each calcification feature were as follows: ratio of calcification distance = 0.80, number of calcifications = 0.68, skewness = 0.82, and maximum intensity = 0.75. The combined value of the four features was 0.84. With a threshold of 0.64, the A(z) value of calcification features was 0.83 with a sensitivity of 83.0%, specificity of 82.4%, and accuracy of 82.8%. Conclusions: These results support the clinical feasibility of using computerized analysis of calcification features from thyroid US for differentiating between malignant and benign nodules. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S0720048X15300280?via%3Dihubhttp://hdl.handle.net/20.500.11754/28445
ISSN
0720-048X; 1872-7727
DOI
10.1016/j.ejrad.2015.06.021
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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