What is the accuracy of the Nunes image-analysis decision model for magnetic resonance mammography (breast MRI)?

Updated: Feb 25, 2019
  • Author: Preeti Gupta, MD, FRCR; Chief Editor: Eugene C Lin, MD  more...
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Nunes et al published a somewhat complex, but comprehensive and, most importantly, validated, image-analysis decision model to improve the classification of enhancing lesions depicted on low-temporal-resolution, high-spatial-resolution, 3D fat-suppressed (3D FSPGR) images. [41] This detailed method yields high diagnostic accuracy and has formed the basis for subsequent studies of architectural-feature assessment.

This model was further validated, updated, and slightly modified. The resultant values for sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and accuracy were 96%, 80%, 96%, 78%, and 87%, respectively. [56] These diagnostic performance indicators are slightly more sensitive than, but otherwise similar to, those obtained by enhancement–time course analysis using dynamic 2D MRM.

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