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Updated: May 6, 2026

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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
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Variable spatiotemporal resolution three-dimensional Dixon sequence for rapid dynamic contrast-enhanced breast MRI.
Manojkumar Saranathan1, Dan W Rettmann, Brian A Hargreaves
1Department of Radiology, Stanford, California, USA.
Journal of Magnetic Resonance Imaging : JMRI
|November 15, 2013
Summary
A new breast cancer MRI technique, DIfferential Subsampling with Cartesian Ordering (DISCO), offers improved image quality and speed. This variable spatiotemporal resolution method captures tumor dynamics and structure effectively.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Dynamic contrast-enhanced (DCE) MRI is crucial for breast cancer diagnosis.
- Existing methods often compromise spatial or temporal resolution.
- There is a need for advanced MRI techniques to improve breast cancer imaging.
Purpose of the Study:
- To evaluate a novel variable spatiotemporal resolution DCE MRI technique, DISCO, for breast cancer imaging.
- To compare the performance of DISCO against conventional MRI sequences.
Main Methods:
- DISCO combines undersampling, pseudorandom k-space ordering, and Dixon fat-water separation.
- High temporal resolution was achieved using view sharing during contrast wash-in.
- Image quality and temporal characteristics were compared between DISCO and VIBRANT-FLEX in 40 patients.
Main Results:
- DISCO achieved 1.1 × 1.1 × 1.2 mm³ spatial resolution and ~9s temporal resolution.
- DISCO dynamic images showed significantly higher radiologist-ranked quality compared to VIBRANT-FLEX.
- No significant difference in aortic enhancement slope was observed between sequences.
Conclusions:
- DISCO is a promising MRI sequence for dynamic and structural breast cancer imaging.
- It enables near 1-mm isotropic resolution for static and dynamic contrast-enhanced phases.
- DISCO effectively captures rapidly enhancing tumors and postcontrast structural features.

