Related Experiment Video
Updated: Aug 26, 2025
15:48
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
22.6K
Whole-tumor apparent diffusion coefficient (ADC) analyses of breast lesions based on simultaneous multi-slice
1Department of Radiology, RuijinHospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China.
Magnetic Resonance Imaging
|October 3, 2022
Summary
Simultaneous multi-slice readout-segmented echo-planar diffusion-weighted imaging (SMS rs-EPI DWI) enhances image quality and diagnostic performance for differentiating benign from malignant breast lesions. This advanced technique offers comparable scan times with improved lesion delineation.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Distinguishing benign from malignant breast lesions is crucial for effective patient management.
- Readout-segmented echo-planar diffusion-weighted imaging (rs-EPI DWI) is a valuable tool in breast MRI.
- Optimizing DWI techniques can improve diagnostic accuracy.
Purpose of the Study:
- To compare the effectiveness of simultaneous multi-slice (SMS) rs-EPI DWI with conventional (NOSMS) rs-EPI DWI.
- To evaluate the impact of SMS rs-EPI DWI on image quality and diagnostic performance in breast lesion characterization.
- To assess the utility of ADC median values in differentiating lesion types using both DWI sequences.
Main Methods:
- Retrospective analysis of 185 breast MRI examinations.
- Acquisition of both NOSMS rs-EPI DWI and SMS rs-EPI DWI sequences on a 1.5-T scanner.
- Image quality assessment by two radiologists using a 5-point scale and VGC analysis.
- Quantitative analysis of SNR, CNR, and ADC median values.
- ROC curve analysis for diagnostic performance evaluation.
Main Results:
- SMS rs-EPI DWI demonstrated superior overall image quality and lesion delineation compared to NOSMS rs-EPI DWI (AUC VGC = 0.984 vs. 0.980).
- No significant difference in relevant artifacts was observed between the two sequences.
- While SNR was lower in SMS rs-EPI DWI, diagnostic performance, indicated by higher AUC for ADC median (0.879 vs. 0.839), was significantly improved (P=0.025).
- Both sequences showed statistically significant differences in ADC median values between malignant and benign lesions (P < 0.001).
Conclusions:
- The SMS technique significantly improves image quality and lesion delineation in rs-EPI DWI.
- SMS rs-EPI DWI enhances the diagnostic performance for differentiating benign and malignant breast lesions.
- This advanced DWI technique offers improved diagnostic capabilities within comparable scan times.
