Comparison of Breast Cancer Screening Results in Korean Middle-Aged Women: A Hospital-based Prospective Cohort Study

Osong Public Health and Research Perspectives

Volumn 4, Issue 4, 2013, Pages 197-202

  Lee, TaeBum ^a  

^a Korea Electrotechnology Research Institute (KERI)   (South Korea)

Author keywords

Area under the ROC curve; Breast cancer; Magnification mammography; ROC curve; Ultrasonography

Indexed keywords

ADULT; AGE; ARTICLE; BENIGN TUMOR; BREAST BIOPSY; BREAST CANCER; CANCER SCREENING; CLINICAL ARTICLE; COHORT ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; ECHOMAMMOGRAPHY; FEMALE; HISTOPATHOLOGY; HOSPITAL; HUMAN; MAGNIFICATION MAMMOGRAPHY; MALIGNANT NEOPLASTIC DISEASE; MAMMOGRAPHY; MIDDLE AGED; PATIENT CODING; PRIORITY JOURNAL; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SOUTH KOREA;

EID: 84883271171     PISSN: 22109099     EISSN: 22109110     Source Type: Journal    
DOI: 10.1016/j.phrp.2013.06.002     Document Type: Article

References (30)

1. Kim J., Han W., Lee J.W., et al. Factors associated with upstaging from ductal carcinoma in situ following core needle biopsy to invasive cancer in subsequent surgical excision. Breast 2012 Oct, 21(5):641-645.
2. Kikuchi M., Tsunoda-Shimizu H., Kawasaki T., et al. Indications for stereotactically-guided vacuum-assisted breast biopsy for patients with category 3 microcalcifications. Breast Cancer 2007, 14(3):285-291.
3. Berg W.A., Blume J.D., Cormack J.B., Mendelson E.B. Training the ACRIN 6666 Investigators and effects of feedback on breast ultrasound interpretive performance and agreement in BI-RADS ultrasound feature analysis. AJR Am J Roentgenol 2012 Jul, 199(1):224-235.
4. Kelly K.M., Dean J., Lee S.J., Comulada W.S. Breast cancer detection: radiologists' performance using mammography with and without automated whole-breast ultrasound. EurRadiol 2010 Nov, 20(11):2557-2564.
5. Fischer T., Grigoryev M., Bossenz S., et al. Sonographic detection of microcalcifications - potential of new method. Ultraschall Med 2012 Aug, 33(4):357-365.
6. Berg W.A., Cosgrove D.O., Doré C.J., et al. Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses. BE1 Investigators. Radiology 2012 Feb, 262(2):435-449.
7. Fischer T., Peisker U., Fiedor S., et al. Significant differentiation of focal breast lesions: raw data-based calculation of strain ratio. Ultraschall Med 2012 Aug, 33(4):372-379.
8. Zheng B., Sumkin J.H., Zuley M.L., et al. Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessment. Eur J Radiol 2012 Nov, 81(11):3222-3228.
9. Mahéo K., Chevalier S., Vibet S., et al. Non-invasive quantification of tumor vascular architecture during docetaxel-chemotherapy. Breast Cancer Res Treat 2012 Aug, 134(3):1013-1025.
10. Schlossbauer T., Reiser M., Hellerhoff K. Importance of mammography, sonography and MRI for surveillance of neoadjuvant chemotherapy for locally advanced breast cancer. Radiologe 2010 Nov, 50(11):1008-1013.
11. Barnard S., Leen E., Cooke T., Angerson W. A contrast-enhanced ultrasound study of benign and malignant breast tissue. S Afr Med J 2008 May, 98(5):386-391.
12. Eisenbrey J.R., Dave J.K., Merton D.A., et al. Parametric imaging using subharmonic signals from ultrasound contrast agents in patients with breast lesions. J Ultrasound Med 2011 Jan, 30(1):85-92.
13. Kim S.J., Bae Y.T., Lee J.S., et al. Diagnostic performances of double-phase tc-99m MIBI scintimammography in patients with indeterminate ultrasound findings: visual and quantitative analyses. Ann Nucl Med 2007 Jun, 21(3):145-150.
14. Cheng J.Z., Chou Y.H., Huang C.S., et al. Computer-aided US diagnosis of breast lesions by using cell-based contour grouping. Radiology 2010 Jun, 255(3):746-754.
15. Liu B., Metz C.E., Jiang Y. Effect of correlation on combining diagnostic information from two images of the same patient. Med Phys. 2005 Nov, 32(11):3329-3338.
16. Kim S.M., Han H., Park J.M., et al. A comparison of logistic regression analysis and an artificial neural network using the BI-RADS lexicon for ultrasonography in conjunction with introbserver variability. J Digit Imaging 2012 Oct, 25(5):599-606.
17. Jamieson A.R., Giger M.L., Drukker K., Pesce L.L. Enhancement of breast CADx with unlabeled data. Med Phys. 2010 Aug, 37(8):4155-4172.
18. Irwig L., Macaskill P., Walter S.D., Houssami N. New methods give better estimates of changes in diagnostic accuracy when prior information is provided. J Clin Epidemiol 2006 Mar, 59(3):299-307.
19. Horsch K., Giger M.L., Metz C.E. Potential effect of different radiologist reporting methods on studies showing benefit of CAD. Acad Radiol 2008 Feb, 15(2):139-152.
20. De Cicco C., Mariani L., Vedruccio C., et al. Clinical application of spectral electromagnetic interaction in breast cancer: diagnostic results of a pilot study 2006 May-Jun, 92(3):207-212.
21. Ying X., Lin Y., Xia X., et al. A comparison of mammography and ultrasound in women with breast disease: a receiver operating characteristic analysis. Breast J 2012 Mar-Apr, 18(2):130-138.
22. Heusinger K., Löhberg C., Lux M.P., et al. Assessment of breast cancer tumor size depends on method, histopathology and tumor size itself. Breast Cancer Res Treat 2005 Nov, 94(1):17-23.
23. Ko B.S., Noh W.C., Kang S.S., et al. Changing patterns in the clinical characteristics of Korean breast cancer from 1996-2010 using an online nationwide breast cancer database. J Breast Cancer 2012 Dec, 15(4):393-400.
24. Landoni V., Francione V., Marzi S., et al. Quantitative analysis of elastography images in the detection of breast cancer. Eur J Radiol 2012 Jul, 81(7):1527-1531.
25. Yoon J.H., Kim M.H., Kim E.K., et al. Interobserver variability of ultrasound elastography: how it affects the diagnosis of breast lesions. AJR Am J Roentgenol 2011 Mar, 196(3):730-736.
26. Meng W., Zhang G., Wu C., et al. Preliminary results of acoustic radiation force impulse (ARFI) ultrasound imaging of breast lesions. Ultrasound Med Biol. 2011 Sep, 37(9):1436-1443.
27. Drukker K., Sennett C.A., Giger M.L. Automated method for improving system performance of computer-aided diagnosis in breast ultrasound. IEEE Trans Med Imaging 2009 Jan, 28(1):122-128.
28. Drukker K., Gruszauskas N.P., Sennett C.A., Giger M.L. Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population. Radiology 2008 Aug, 248(2):392-397.
29. Jung K.W., Won Y.J., Kong H.J., et al. Cancer statistics in Korea: incidence, mortality, survival and prevalence in 2010. Cancer Res Treat 2013 Mar, 45(1):1-14.
30. Kang M.H., Park E.C., Choi K.S., et al. The National Cancer Screening Program for Breast Cancer in the Republic of Korea: Is it cost-effective?. Asian Pac J Cancer Prev 2013, 14(3):2059-2065.