Positive and Negative Predictive Values of BI-RADS^【○!R】-MRI Descriptors for Focal Breast Masses
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概要
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Purpose: The purposes of this study were to evaluate the positive and negative predictive values of the BI-RADS®-MR descriptors of focal masses and to develop an interpretation model based on the kinetic and morphologic parameters. Methods: Retrospective review was performed of 171 consecutive focal breast masses. MR imaging was performed on a 1.5T system using the volumetric interpolated breath-hold examination sequence (mean partition thickness, 1.2 mm; time of acquisition, 35 s). Kinetic enhancement patterns were assessed by visually comparing signal intensity on the dynamic images acquired at 60 s and 4 min (washout, plateau, and persistent). Results: There were 126 malignant and 45 benign lesions. The most frequent morphological finding among the malignant lesions was heterogeneous internal enhancement in the delayed phase (96%; P<0.001); the most frequent finding in benign lesions was smooth margin or smooth shape/margin (80 to 82%; P<0.001). The features with the highest positive predictive value for carcinoma were spiculated margin (100%), delayed central enhancement (100%), delayed enhancing internal septations (97%), and irregular shape (97%). The characteristics with the highest diagnostic accuracy for malignancy were spiculated margin (100%) and heterogeneous enhancement following washout in the smooth shape/margin group (100%). The sensitivity, specificity, and positive and negative predictive values of an interpretation model based on a combination of the morphologic characteristics and kinetic information were 99%, 89%, 96%, and 98%, respectively. Conclusion: A combination of morphologic criteria, particularly lesion shape/margin and internal heterogeneity, and kinetic information is useful for differentiating benign and malignant lesions.
- 日本磁気共鳴医学会の論文
- 2006-03-31
著者
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TOZAKI Mitsuhiro
Department of Radiology, The Jikei University School of Medicine
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Fukuda Kunihiko
Department Of Radiology And Dentistry Jikei University School Of Medicine
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Igarashi Takao
Department Of Radiology The Jikei University School Of Medicine
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Tozaki Mitsuhiro
Department Of Radiology The Jikei University School Of Medicine
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Tozaki Mitsuhiro
Department Of Radiology And Dentistry Jikei University School Of Medicine
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FUKUDA Kunihiko
Department of Radiology, The Jikei University School of Medicine
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IGARASHI Takao
Department of Diagnostic Imaging, Jikei University Hospital
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