Can the size of microcalcifications predict malignancy of clusters at mammography?

Academic Radiology
S BuchbinderS Fields

Abstract

The purpose of this study was to determine whether the size of mammographically detected microcalcifications is predictive of malignancy. Two hundred sixty mammograms showing clustered microcalcifications with proven diagnoses (160 malignant, 100 benign) were respectively reviewed by experienced mammographers. Lesions that were obviously benign in appearance were excluded from the study. A computer-aided diagnosis system digitized the lesions at 600 dpi, and the microcalcifications on the digital image were interactively defined by mammographers. Subsequently, three quantitative features that reflected the size of the microcalcifications-length, area, and brightness-were automatically extracted by the system. For each feature, the standard average of values obtained for individual calcifications within the cluster and the average with emphasis on extreme values (E) obtained in a single cluster were analyzed and matched with pathologic results. In the malignant group of cases, the mean values of the standard average length and area were significantly higher (P < .0001) than the mean values in the benign group. Distribution analysis demonstrated that an average length of more than 0.41 mm was associated with malignant lesions 77%...Continue Reading

References

Jan 1, 1992·Cancer Investigation·S M Swain
Sep 1, 1986·Investigative Radiology·C E Metz
Sep 1, 1984·AJR. American Journal of Roentgenology·E A Sickles
Aug 16, 2000·Radiologic Clinics of North America·S A Feig
Nov 21, 2000·Current Opinion in Oncology·A J AlbergK J Helzlsouer

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Citations

Oct 31, 2006·Medical & Biological Engineering & Computing·George SpyrouPanos Ligomenides
Mar 29, 2002·Academic Radiology·Maryellen L Giger
Jan 24, 2004·Radiology·Shalom S BuchbinderScott I Fields
Jan 19, 2010·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Nikolaos S ArikidisLena Costaridou
Jul 6, 2016·Computers in Biology and Medicine·Shayne M PlourdeAndre Khalil
Dec 17, 2008·Medical Physics·Nikolaos S ArikidisLena Costaridou

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