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Application of a quantitative model to differentiate benign from malignant breast lesions detected by dynamic, gadolinium‐enhanced MRI
Author(s) -
Kelcz Frederick,
Santyr Giles E.,
Cron Greg O.,
Mongin Steven J.
Publication year - 1996
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.1880060507
Subject(s) - gadolinium , malignancy , medicine , lesion , magnetic resonance imaging , fibroadenoma , radiology , dynamic contrast , contrast enhancement , intensity (physics) , pathology , nuclear medicine , breast cancer , cancer , chemistry , physics , organic chemistry , quantum mechanics
Both benign and malignant breast lesions may exhibit intense contrast enhancement when imaged using gadolinium‐enhanced MRI. We propose a quantitative approach for fitting dynamic signal intensity (SI) data that may distinguish benign from malignant lesions. We studied 78 lesions in 75 women (18 malignancies, 16 fibroadenomas, and 44 other benign breast lesions) to determine the potential of this model for decreasing false‐positive MR results. Twenty‐eight lesions showed no enhancement; all were benign. One lesion showed a complex pattern not amenable to region‐of‐interest analysis and was considered a false positive. SI versus time data for the remaining 49 lesions were fit to the proposed model. We found that one parameter, M , the normalized slope of the SI enhancement profile evaluated at half the maximal signal intensity, seemed to be highly correlated with malignancy and offered improved discrimination between malignant and benign lesions compared to a previously published two‐point slope method.