Affiliations: [a] Department of Radiology, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shannxi, China
| [b] Department of Radiology, Affiliated Hospital of Yan’an University, Yan’an, Shannxi, China
| [c] Department of Nuclear Medicine, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shannxi, China
| [d] Department of Epidemiology, Medical College of Xi’an Jiaotong University, Xi’an, Shannxi, China
Correspondence:
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Corresponding author: Xin Chen, Department of Radiology, Second Affiliated Hospital of Xi’an Jiaotong
University, Xi Wu Road 157, 710004 Xi’an, Shannxi, China. E-mail: [email protected].
Abstract: OBJECTIVE:To explore and evaluate new malignant predictors of breast non-mass enhancement lesions using the new BI-RADS MRI lexicon. METHODS:A dataset involving 422 consecutive women underwent breast 3.0 T MRI between January 2014 and July 2016 was assembled for this study. Each case was retrospectively reviewed by 3 radiologists. Eighty-four lesions that present non-mass enhancement in 79 patients were identified in the study. Dynamic contrast-enhanced MRI features were analyzed using univariate and multivariate analyses to identify significant indicators of malignancy. RESULTS:Of 84 non-mass enhancement lesions, 52 (61.9%) were malignant and 32 (38.1%) were benign. Segmental distribution (P = 0.015 from univariate analysis; OR = 4.739, P = 0.008 from multivariate analysis), cluster ring enhancement (P = 0.017 from univariate analysis; OR = 3.601, P = 0.032 from multivariate analysis), time-intensity curve of plateau (P = 0.002 from univariate analysis; OR = 3.525, P = 0.027 from multivariate analysis) and phase to peak (P = 0.06 from univariate analysis; OR = 6.327, P = 0.015 from multivariate analysis) were significantly different between malignant and benign lesions. CONCLUSIONS:This study demonstrated that segmental distribution, clustered ring enhancement, and short time to peak could act as new malignant predictors for breast non-mass enhancement detected on 3.0 T MRI.
Keywords: Breast, non-mass enhancement, magnetic resonance imaging, breast imaging reporting and data system
