Journal List > J Breast Cancer > v.9(2) > 1036773

Yoon, Park, Byon, and Park: Evaluation of Computer Aided Diagnosis (CAD) in the Interpretation of Mass Lesions seen on Breast Sonography

Abstract

Purpose

Sonography for the diagnosis of breast cancer, is important in Korea because Oriental women have denser breast and their breast cancer generally occurs at a younger age. We investigate the potential usefulness of computer aided diagnosis(CAD) as a tool for physicians to use in the differential diagnosis of the breast mass lesions seen on ultrasound examinations.

Method

We evaluated a series of pathologically proven breast tumors that were detected in our private clinic from May 2004 to April 2005. A total of 134 breast tumors (55 malignant and 79 benign tumors) were retrospectively evaluated. We located the regions of interest (ROI) on two ultrasonic images (the vertical and longitudinal views) for each mass lesion and we evaluated the malignant score with using the SonoEye2D™ (Cad Impact Inc. Korea) system. Triple measurements were performed for each image and we then analyzed the data as two groups. The first group had their data analyzed by using the two perpendicular images of each mass and the second group had their data analyzed by using the one image with the longest diameter of the mass.

Result

The sensitivity of CAD on ultrasound images was 81.8%-96.4% for the first group and 74.6-87.3% for the second group and the specificities were 53.2-73.4%, and 59.5-68.4% respectively. The area under the receiver operating characteristic curve(AZ) was 0.811-0.816 for the first group and 0.780-0.800 for the second group.

Conclusion

The CAD system for the ultrasound images of breast lesions was useful in the diagnosis of breast cancer. The diagnostic accuracy for the analysis of two images was higher than for the analysis of one image.

References

1. Breast Cancer Facts and Figures 2001-2002. 2003. Atlanta, GA: American Cancer Society.
2. Bassett LW, Lui TH, Giuliano AE, Gold RH. The prevalence of carcinoma in palpable vs impalpable, mammographically detected lesions. AJR. 1991. 157:21–24.
crossref
3. Rubin M, Horiuchi K, Joy N, Haun W, Read R, Ratzer E, Fenoglio M. Use of fine needle aspiration for solid breast lesions is accurate and cost-effective. Am J Surg. 1997. 174:694–696.
crossref
4. Gisvold JJ, Martin JK Jr. Prebiopsy localization of nonpalpable breast lesions. AJR. 1984. 143:477–481.
crossref
5. Garra BS, Krasner BH, Horii SC, Ascher S, Mun SK, Zeman RK. Improving the distinction between benign and malignant breast lesions: the value of sono-graphic texture analysis. Ultarson Imaging. 1993. 15:267–285.
crossref
6. Chen DR, Chang RF, Huang YL. Computer-aided diagnosis applied to US for solid breast nodules by using neural networks. Radiology. 1999. 213:407–412.
crossref
7. Kuo WJ, Chang RF, Moon WK, Lee CC, Chen DR. Retrieval technique for the diagnosis of solid breast tumor on sonogram. Ultrasound Med Biol. 2002. 28:903–909.
crossref
8. Giger ML, Al-Hallaq H, Hui Z, Moran C, Wolverton DE, Chan CW, et al. Computerized analysis of lesions in US images of the breast. Acad Radiol. 1999. 6:665–674.
crossref
9. Chang RF, Kuo WJ, Chen DR, Huang YL, Lee JH, Cho YH. Computer-aided diagnosis for surgical office-based breast ultrasound. Arch Surg. 2000. 135:696–699.
crossref
10. Stavros AT, Thickman D, Rapp CL, Dennis MA, Parker SH, Sisney GA. Solid breast nodule: use of sonography to distinguish between benign and malignant lesions. Radiology. 1995. 196:123–124.
crossref
11. Chen DR, Chang RF, Huang YL. Breast cancer diagnosis using self-organizing map for sonography. Ultrasound Med Biol. 2000. 26:405–411.
crossref
12. Horsch K, Giger ML, Vyborny CJ, Venta LA. Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography. Acad Radiol. 2004. 11:272–280.
crossref
13. Kuo WJ, Chang RF, Moon WK, Lee CC, Chen DR. Computer-aided diagnosis of breast tumors with different US system. Acad Rdiol. 2002. 9:793–799.
14. Huang YL, Kuo SJ, Chang CS, Liu YK, Moon WK, Chen DR. Image retrieval with principal component analysis for breast cancer diagnosis on various ultrasonic systems. Ultrasound Obstet Gynecol. 2005. 26:558–566.
crossref
15. Drukker K, Horsch K, Griger ML. Multimodality computerized diagnosis of breast lesions using mammography and sonography. Acad Radiol. 2005. 12:970–979.
crossref
TOOLS
Similar articles