The use of an interactive software program for quantitative characterization of microcalcifications on digitized film-screen mammograms

Investigative Radiology

Volumn 34, Issue 6, 1999, Pages 394-400

  Leichter, Isaac ^a   Lederman, Richard ^b   Bamberger, Philippe ^d   Novak, Boris ^a   Fields, Scott ^b   Buchbinder, Shalom S ^c  

^a JERUSALEM COLLEGE OF TECHNOLOGY   (Israel)

^b HADASSAH HEBREW UNIVERSITY MEDICAL CENTER   (Israel)

^c ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^d Jerusalem College of Technology ^*

Author keywords

Computer assisted diagnosis (CAD); Digital; Enhancement; Mammograms; Microcalcifications; Receiver operating characteristic (ROC) analysis

Indexed keywords

ARTICLE; BREAST CALCIFICATION; COMPUTER PROGRAM; CONTRAST ENHANCEMENT; HUMAN; MAJOR CLINICAL STUDY; MAMMOGRAPHY; PRIORITY JOURNAL; QUANTITATIVE DIAGNOSIS;

BREAST DISEASES; BREAST NEOPLASMS; CALCINOSIS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MAMMOGRAPHY; PREDICTIVE VALUE OF TESTS; RADIOGRAPHIC IMAGE ENHANCEMENT; ROC CURVE; SENSITIVITY AND SPECIFICITY; SOFTWARE; X-RAY INTENSIFYING SCREENS;

EID: 0032915198     PISSN: 00209996     EISSN: None     Source Type: Journal    
DOI: 10.1097/00004424-199906000-00002     Document Type: Article

References (38)

1. Sox HC. Benefit and harm associated with screening for breast cancer. N Engl J Med 1998;338:1145-1146.
2. Sickles EA. Mammographic features of 'early' breast cancer. AJR 1984;143:461-464.
3. Mussurakis S, Buckley DL, Drew PJ, et al. Dynamic MR imaging of the breast combined with analysis of contrast agent kinetics in the differentiation of primary breast tumors. Clinical Radiology 1997; 52:516-526.
4. Thurfjell E, Lernervall K, Taube A. Benefit of independent double reading in a population based mammography screening program. Radiology 1994;191:241-244.
5. Warren R, Duffy S. Comparison of single reading with double reading of mammograms, and change in effectiveness with experience. British Journal of Radiology 1995;68:958-962.
6. Denton ERE, Field S. Just how valuable is double reporting in screening mammography? Clinical Radiology 1997;52:466-468.
7. Bassett LW. Mammographic analysis of calcifications. The Radiologic Clinics of North America. Breast imaging: Current status and future directions 1992;30:93-105.
8. Feig SA, Galkin BM, Muir HD. Evaluation of breast microcalcifications by means of optically magnified tissue specimen radiographs. In: Brunner S, Langfeldt B, eds. Recent results in cancer research. Breast cancer: Present perspective of early diagnosis, vol 105. New York: Springer-Verlag, 1987:111-123.
9. Feig SA, Shaber GS, Patchefsky A. Analysis of clinically occult and mammographically occult breast tumors. AJR 1997;128:403-408.
10. Moskowitz M. The predictive value of certain mammographic signs in screening for breast cancer. Cancer 1983;51:1007-1011.
11. Leichter I, Bamberger P, Novak B, Fields St, Lederman R. Computer diagnostics in digital mammography. In: IEEE Proceedings of the 19th Convention of Electrical and Electronics Engineers in Israel 1996;406-408.
12. Fields S, Leichter I, Bamberger P, Novak B, Lederman R, Behar D, Buchbinder S. Clinical evaluation of computerized enhancement and analysis of mammographic findings. In: Doi K, Giger ML, Nishikawa RM, Schmidt RA, eds. Digital mammography '96. New York: Elsevier Science, 1996;81-86.
13. Toussaint GT. Computational geometric problems in pattern recognition. In: Kittler J, Fu KS, and Pau LF, eds. Pattern recognition theory and applications. Reidel: Dordrecht, 1982;73-91.
14. Wilcoxon F. Individual comparisons by ranking methods. Biometrics Bull 1945;1:80-83.
15. Welch BL. The generalization of student's problem when several different population variances are involved. Biometrika 1047;34: 28-35.
16. Kendall MG, Stuart A. The advanced theory of statistics. Vol. 2 -Inference and relationship. New York: Oxford University Press, 1973;436-482.
17. Kendall MG, Stuart A. The advanced theory of statistics. Vol. 3 -Design and analysis, and time-series. London: CH Griffin, 1968; 314-341.
18. Yerushalmy J. Statistical problems in assessing methods of medical diagnosis with special reference to x-ray techniques. Public Health Reports 1947;62:1432-1449.
19. Linver MN. The medical audit - statistical basis of clinical outcomes analysis. In: Bassett LW, Jackson VP, Jahan R, Fu JS, and Gold RH, eds. Diagnosis of diseases of the breast. Philadelphia: WB Saunders, 1997.
20. Siegel S. Nonparametric statistics: For the behaviorial sciences. New York: McGraw-Hill, 1956;63-67.
21. Metz CE. ROC methodology in radiologic imaging. Invest Radiol 1986;21:720-732.
22. Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983;148:839-843.
23. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143:29-36.
24. Getty DJ, Pickett RM, D'Orsi CJ, Swets JA. Enhanced interpretation of diagnostic images. Invest Radiol 1988;23:240-252.
25. Freundlich IM, Hunter TB, Seeley GW, D'Orsi CJ, Sadowsky NL. Computer-assisted analysis of mammographic clustered calcifications. Clin Radiol 1989;40:295-298.
26. Patrick EA, Moskowitz M, Manshukhani VT, Gruenstein EI. Expert learning system network for diagnosis of breast calcifications. Invest Radiol 1991;26:534-539.
27. Shen L, Rangayyan RM, Leo Desautels JE. Application of shape analysis to mammographic calcifications. IEEE Trans Med Imaging 1994;13:263-274.
28. Jiang Y, Nishikawa RM, Wolverton DE, et al. Malignant and benign clustered micro-calcifications: Automated feature analysis and classification. Radiology 1996;198:671-678.
29. Nishikawa RM, Doi K, Giger ML, Schmidt RA, Vyborny CJ, Monnier-Cholley L, Papaioannou J, Lu P. Computerized detection of clustered microcalcifications: Evaluations of performance on mammograms from multiple centers. Radiographics 1995;15:443-452.
30. Kegelmeyer Jr WP, Pruneda JM, Bourland PD, Hillis A, Riggs MW, Nipper ML. Computer-aided mammographic screening for spiculated lesions. Radiology 1994;191:331-337.
31. Li H, Liu KJR, Lo SCB. Fractal modeling and segmentation for the enhancement of microcalcifications in digital mammograms. IEEE Trans Med Imaging 1997;16:785-798.
32. Wu Y, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE. Artificial neural networks in mammography: Application to decision making in the diagnosis of breast cancer. Radiology 1993;187: 81-87.
33. Baker JA, Kornguth PJ, Lo JY, Williford ME, Floyd Jr CE. Breast cancer: Prediction with artificial neural network based on bi-rads standardized lexicon. Radiology 1995;196:817-822.
34. Callaway MP, Boggis CRM, Astley SA, Hutt I. The influence of previous films on screening mammographic interpretation and detection of breast carcinoma. Clinical Radiology 1997;52:527-529.
35. Lafontan BD, Daures JP, Salicru B, Eynius F, Mihura J, Rouanet P, Lamarque JL, Naja A, Pujol H. Isolated clustered microcalcifications: Diagnostic value of mammography - series of 400 cases with surgical verification. Radiology 1994;190:479-483.
36. Nishikawa RM, Giger ML, Doi K, Metz CE, Yin FF, Vyborny CJ, Schmidt RA. Effect of case selection on the performance of computer-aided detection schemes. Med Phys 1994;21:265-269.
37. Beam CA, Layde PM, Sullivan DC. Variability on the interpretation of screening mammograms by US radiologists. Arch Intern Med 1996; 156:209-213.
38. Kimme-Smith C, Gold RH, Bassett LW, Gormley L, Morioka C. Diagnosis of breast calcifications: Comparison of contact, magnified, and television-enhanced images. AJR 1989;153:963-967.