Objective The purpose of this study is to meta-analysis the diagnostic value of breast magnetic resonance imaging (MRI) of various malignancies signs. Methods Using Meta-Disc 1.4 software, diagnostic effectiveness of every MRI diagnosis signs was evaluated one by one. Results In accordance with the inclusion and exclusion criteria, 19 independent studies eventually included in this Meta-analysis. Meta-analysis showed that: ① burr-like shape AUC value of 0.8167, Q value of 0.7506. ②blurred edges AUC value of 0.6881, Q value of 0.6435. ③ ring enhancement AUC value of 0.6879, Q value of 0.6433. ④washout curve AUC value of 0.7955, Q value of 0.7320. ⑤ADC measurement AUC value of 0.5610, Q value of 0.5459. Using a random effects model merge MRI diagnosis of breast cancer overall sensitivity was 0.497, specificity was 0.810， AUC value of 0.7071, Q value of 0.6585. Conclusion Various malignancies signs of breast magnetic resonance imaging (MRI) provide different effectiveness for diagnosis, burr-like morphology and dynamic contrast-enhanced washout curve signs have higher diagnostic predictive value for breast cancer, while the diagnostic value of measuring ring enhancement and ADC values are poor.