Differential diagnosis of benign and malignant breast lesions using quantitative synthetic magnetic resonance imaging.
10.12122/j.issn.1673-4254.2022.04.01
- VernacularTitle:定量集成磁共振成像鉴别乳腺良恶性病变
- Author:
Liying ZHANG
1
;
Xin ZHAO
1
;
Xing YIN
1
Author Information
1. Department of Radiology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
- Publication Type:Journal Article
- Keywords:
breast lesions;
quantitative parameters;
synthetic magnetic resonance imaging
- MeSH:
Breast/diagnostic imaging*;
Breast Neoplasms/diagnostic imaging*;
Contrast Media;
Diagnosis, Differential;
Female;
Humans;
Magnetic Resonance Imaging/methods*;
ROC Curve;
Retrospective Studies
- From:
Journal of Southern Medical University
2022;42(4):457-462
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To investigate the value of quantitative synthetic magnetic resonance imaging (SyMRI) in distinguishing between benign and malignant breast lesions.
METHODS:We retrospectively collected data of preoperative conventional MRI and multi-dynamic multi-echo sequences from 95 patients with breast lesions showing mass-type enhancement on DCE-MRI, including 27 patients with benign lesions and 68 with malignant lesions. The MRI features of the lesions (shape, margin, internal enhancement pattern, time-signal intensity curve, and T2WI signal) were analyzed, and for each lesion, SyMRI-generated quantitative parameters including T1 and T2 relaxation time and proton density (PD) were measured before and after enhancement and recorded as T1p, T2p, PDp and T1e, T2e, and PDe, respectively. The relative change rate of each parameter was calculated. Logistic regression and all-subset regression analyses were performed for variable selection to construct diagnostic models of the breast lesions, and receiver-operating characteristic (ROC) analysis was used to assess the performance of each model for differentiation of benign and malignant lesions.
RESULTS:There were significant differences in the MRI features between benign and malignant lesions (P < 0.05). All the SyMRI-generated quantitative parameters, with the exception of T2e and Pdp, showed significant differences between benign and malignant lesions (P < 0.05). Among the constructed diagnostic models, the model based on all the DCE-MRI features combined with SyMRI parameters T2p and T1e (DCE-MRI+T2p+T1e) showed the best performance in the differential diagnosis malignant breast masses with an AUC of 0.995 (95% CI: 0.983-1.000).
CONCLUSION:Quantitative SyMRI can be used for differential diagnosis of benign and malignant breast lesions.
