Browse > Article
http://dx.doi.org/10.7742/jksr.2019.13.1.9

Factor analysis using S-detect Method in Breast Ultrasound  

Chun, Hye Ri (Department of Radiological Science, Daegu Catholic University)
Jang, Hyon Chol (Department of Radiologic Technology, Suseong University)
Cho, Pyong Kon (Department of Radiological Science, Daegu Catholic University)
Publication Information
Journal of the Korean Society of Radiology / v.13, no.1, 2019 , pp. 9-14 More about this Journal
Abstract
This study aimed to investigate the performance of the S-detect method in breast ultrasonography and to determine how to reduce unnecessary biopsy by comparing the results of the S-detect method and biopsy. Thirty patients who had undergone breast ultrasonography between August and October 2018 and were scheduled to undergo biopsy because of the presence of breast nodules were retrospectively analyzed. The McNemar test was performed to determine whether detection of a malignant breast mass significantly differed between the S-detect method and biopsy. The following results were obtained from the analysis of the S-detect method: sensitivity, 90.9%; specificity, 84.21%; validity, 86.66%; positive predictive value, 76.92%; and negative predictive value, 94.11%. Analysis of the degree of agreement between the S-detect method and biopsy revealed a kappa value as high as 0.724 (p < 0.05), exhibiting good agreement between the two methods. The S-detect method in breast ultrasonography is diagnostically valuable in terms of distinguishing between malignant and benign breast masses, and if used properly before breast biopsy, unnecessary biopsy can be reduced.
Keywords
breast ultrasonography; breast biopsy; breast mass; computer-assisted diagnostic system;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. H. Park, "Breast Cancer Facts & Figures," Journal of Korean Breast Cancer Society, Vol. 1, No. 1, pp. 6-15, 2018.
2 Umemoto Takeshi, Ueno Ei, Matsumura Takeshi, Yamakawa Makoto, Bando Hiroko, Mitake Tsuyoshi, Shiina Tsuyoshi, "Ex Vivo and In Vivo Assessment of the Non-linearity of Elasticity Properties of Breast Tissues for Quantitative Strain Elastography," Vol. 40, No. 8, pp. 1755-1768, 2014.   DOI
3 He Liu, Yuxin Jiang, Qing Dai, Qingli Zhu, Liang Wang, Jing Zhang, Qian Yang, "Differentiation of Benign and Malignant Sub‐1‐cm Breast Lesions Using Contrast‐Enhanced Sonography," Journal of Ultrasound in Medicine, Vol. 34, No. 1, pp. 117-123, 2015   DOI
4 W. A. Berg, D. O. Cosgrove, C. J. Dore, et al., "Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses," Radiology, Vol. 262, No. 2, pp. 435-449 2012.   DOI
5 J. H. Lee et al., "Comparison of Diagnosis Perfomance of US Elastography and Conventional B-mode US in Differentiation of Breast Lesions," Journal of Korean Society of Ultrasound in Medicine, Vol. 31 No. 4, pp. 240 2012.
6 E. Y. Ko, S-Detect in Breast Ultrasound: Initial Experience, Samsung Medical Center, Medison, Seoul, Korea 2014.
7 Y. H. Yoon, "Which Supplementary Iamage Modality Should be used Breast Ultrasonography? Comparison of the Diagnosis Performance of Elastography and Computer-aided Diagnosis," Journal of Korean Society of Ultrasound in medicine, Vol. 36 No. 2, pp. 153-155 2017.
8 J. S. Lee, C. S. Kim, "Application of Computre-Aided Diagnosis a using Texture Feature Analysis Algorithm in Breast US image," Journal of Korea Academia- Industrial cooperation Society, Vol. 16, No. 1 pp. 507, 2015   DOI
9 S. Hanan, M. D. Gewefel, "Can the Smart detect(tm) In Bresat Ultrasound Provide a Second Opinion?," Journal of Nuclear Medicine, Vol. 48, No. 1, pp. 285-292, 2017.
10 N. R. Cho, M. J. Jang, et al., "Distinguishing Benign from Malignant Masses at Breast US: Combined US Elasrography and Color Doppler US-Influence on Radiologist Accuracy," Journal of North America Radiological Society, Vol. 262, No. 1, pp. 80-90, 2012.
11 N. R. Cho, M. W. K. Moon, "Clinical Role of Breast Ultrasound," Journal of Korean Medical Association, Vol. 51, No. 6, pp. 545, 2008.   DOI