In the digital era, architectural distortion remains a challenging radiological task

作者: W.I. Suleiman , M.F. McEntee , S.J. Lewis , M.A. Rawashdeh , D. Georgian-Smith

DOI: 10.1016/J.CRAD.2015.10.009

关键词:

摘要: Aim To compare readers' performance in detecting architectural distortion (AD) compared with other breast cancer types using digital mammography. Materials and methods Forty-one experienced screen readers (20 US 21 Australian) were asked to read a single test set of 30 digitally acquired mammographic cases. Twenty cases had abnormal findings (10 AD, 10 non-AD) normal. Each reader was locate rate any abnormalities. Lesion case-based assessed. For each collection (US; Australian; combined), jackknife free-response receiver operating characteristic (JAFROC), figure merit (FOM), inferred (ROC), area under curve (Az) calculated JAFROC v.4.1 software. Readers' sensitivity, location JAFROC, FOM, ROC, Az scores between groups Wilcoxon's signed ranked statistics. Results lesion-based analysis, significantly lower sensitivity ( p =0.001) shown on AD non-AD for all collections. The analysis demonstrated ROC values =0.02) the first readers, second =0.04) all-readers =0.008), Conclusions current work demonstrates that remains challenging task even era.

参考文章(38)
Bonnie C. Yankaskas, Michael J. Schell, Richard E. Bird, David A. Desrochers, Reassessment of breast cancers missed during routine screening mammography: a community-based study. American Journal of Roentgenology. ,vol. 177, pp. 535- 541 ,(2001) , 10.2214/AJR.177.3.1770535
Helen C. Burrell, Andrew J. Evans, A.Robin M. Wilson, Sarah E. Pinder, False-negative breast screening assessment: what lessons can we learn? Clinical Radiology. ,vol. 56, pp. 385- 388 ,(2001) , 10.1053/CRAD.2001.0662
EA Sickles, Mammographic features of 300 consecutive nonpalpable breast cancers American Journal of Roentgenology. ,vol. 146, pp. 661- 663 ,(1986) , 10.2214/AJR.146.4.661
M.J.M. Broeders, N.C. Onland-Moret, H.J.T.M. Rijken, J.H.C.L. Hendriks, A.L.M. Verbeek, R. Holland, Use of previous screening mammograms to identify features indicating cases that would have a possible gain in prognosis following earlier detection. European Journal of Cancer. ,vol. 39, pp. 1770- 1775 ,(2003) , 10.1016/S0959-8049(03)00311-3
R E Bird, T W Wallace, B C Yankaskas, Analysis of cancers missed at screening mammography. Radiology. ,vol. 184, pp. 613- 617 ,(1992) , 10.1148/RADIOLOGY.184.3.1509041
Mehul P. Sampat, Gary J. Whitman, Mia K. Markey, Alan C. Bovik, Evidence based detection of spiculated masses and architectural distortions Progress in Biomedical Optics and Imaging - Proceedings of SPIE. ,vol. 5747, pp. 26- 37 ,(2005) , 10.1117/12.595331
Carl J. Vyborny, Maryellen L. Giger, Robert M. Nishikawa, Computer-aided detection and diagnosis of breast cancer. Radiologic Clinics of North America. ,vol. 38, pp. 725- 740 ,(2000) , 10.1016/S0033-8389(05)70197-4
ANDERS M. KNUTZEN, JOHN J. GISVOLD, Likelihood of Malignant Disease for Various Categories of Mammographically Detected, Nonpalpable Breast Lesions Mayo Clinic Proceedings. ,vol. 68, pp. 454- 460 ,(1993) , 10.1016/S0025-6196(12)60194-3