0 234

Cited 14 times in

Application of Texture Analysis in the Differential Diagnosis of Benign and Malignant Thyroid Nodules: Comparison With Gray-Scale Ultrasound and Elastography

 Soo-Yeon Kim  ;  Eun-Kyung Kim  ;  Hee Jung Moon  ;  Jung Hyun Yoon  ;  Jin Young Kwak 
 AMERICAN JOURNAL OF ROENTGENOLOGY, Vol.205(3) : 343-351, 2015 
Journal Title
Issue Date
Adult ; Aged ; Diagnosis, Differential ; Elasticity Imaging Techniques* ; Female ; Humans ; Image Processing, Computer-Assisted* ; Male ; Middle Aged ; Predictive Value of Tests ; ROC Curve ; Retrospective Studies ; Thyroid Nodule/diagnostic imaging* ; Thyroid Nodule/pathology*
elastography ; gray-scale ultrasound ; texture analysis ; thyroid nodule
OBJECTIVE: The purposes of this study were to investigate the optimal subset for texture analysis by use of a histogram and cooccurrence matrix in the differential diagnosis of benign and malignant thyroid nodules and to compare the results with those of gray-scale ultrasound and elastography. MATERIALS AND METHODS: From a retrospective search of an institutional database between June and November 2009, 633 solid nodules 5 mm or larger from 613 patients who underwent gray-scale ultrasound and elastography and subsequent ultrasound-guided fine-needle aspiration were included in this study. Each nodule was categorized as probably benign or suspicious of being malignant according to findings at gray-scale ultrasound and elastography. Histogram parameters (mean, SD, skewness, kurtosis, and entropy) and cooccurrence matrix parameters (contrast, correlation, uniformity, homogeneity, and entropy) were extracted from gray-scale ultrasound and elastographic images. The diagnostic performances of gray-scale ultrasound, elastography, and texture analysis for differentiating thyroid nodules were evaluated. RESULTS: Gray-scale ultrasound had the best diagnostic performance with an ROC AUC (Az) of 0.809 among all parameters. Elastography had significantly poorer performance (Az = 0.646) than gray-scale ultrasound (p < 0.001). Mean extracted from gray-scale ultrasound had the highest Az (0.675) among all histogram and cooccurrence matrix parameters extracted from gray-scale ultrasound and elastographic images. However, mean and the combination of mean and gray-scale ultrasound had poorer performance than gray-scale ultrasound alone. CONCLUSION: Using texture analysis does not improve diagnostic performance in the evaluation of thyroid cancers.
Full Text
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kwak, Jin Young(곽진영) ORCID logo https://orcid.org/0000-0002-6212-1495
Kim, Soo Yeon(김수연)
Kim, Eun-Kyung(김은경) ORCID logo https://orcid.org/0000-0002-3368-5013
Moon, Hee Jung(문희정) ORCID logo https://orcid.org/0000-0002-5643-5885
Yoon, Jung Hyun(윤정현) ORCID logo https://orcid.org/0000-0002-2100-3513
사서에게 알리기


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.