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Updated: Oct 16, 2025
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging for breast cancer detection: An update
Honghuan Dong1, Linqing Kang1, Sijia Cheng1
1Department of MRI, Cang Zhou Central Hospital, Cangzhou, China.
Objective:
To evaluate the diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for breast cancer identification.
Methods:
A comprehensive electronic systematic searching of Medline, Ovid, EMBASE, Web of Science, CNK, and Cochrane Library databases was performed up to 2 August 2021. Clinical studies associated with DCE-MRI for breast cancer detection were screened and inlcuded in the meta-analysis. The data of true positive(tp), false positive(fp), false negative(fn) and true negative(tn) was extracted from includded studies. The sensitivity, specificity, diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) were pooled under fixed or random effect models. Publication bias was evaluated by Deek's funnel plot.
Results:
A final set of 15 studies with 1321 breast lesions were included in the present work. The pooled diagnostic sensitivity, specificity, and DOR were 0.87 (95% confidence interval [CI] 0.81-0.92), 0.74 (95% CI 0.68-0.80), and 18.83 (95% CI 9.07-36.54), respectively, and the area under the SROC was 0.86 (95% CI 0.82-0.88). Given a pretest probability of 50%, the positive post-test probability was 77%, and the negative post-test probability was 14%. Deek's funnel plot indicated low publication bias (p = 0.61).
Conclusion:
DCE-MRI is a noninvasive method of breast cancer diagnosis for suspected malignant breast lesions with relative high diagnostic sensitivity and specificity.
