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Updated: Jun 10, 2026

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
Published on: September 16, 2017
Diffusion-weighted echo planar imaging in patients with recent myocardial infarction
Jean-François Deux1, Mezri Maatouk, Alexandre Vignaud
1Radiology Department, H. Mondor Hospital, Assistance Publique-Hôpitaux de Paris, University Paris 12, Créteil, France. jean-francois.deux@hmn.aphp.fr
Diffusion-weighted (DW) black blood magnetic resonance (MR) sequences effectively detect myocardial signal abnormalities in recent myocardial infarction (MI) patients, offering a viable alternative to standard T2-weighted sequences.
Area of Science:
- Cardiovascular Imaging
- Magnetic Resonance Imaging
- Myocardial Infarction Research
Background:
- Assessing myocardial signal abnormalities is crucial for diagnosing recent myocardial infarction (MI).
- Standard T2-weighted sequences may not always accurately detect these abnormalities.
- Diffusion-weighted (DW) black blood magnetic resonance (MR) imaging offers potential for improved detection.
Purpose of the Study:
- To evaluate the efficacy of a DW black blood MR sequence in identifying myocardial signal abnormalities in patients with recent MI.
- To compare the performance of DW black blood MR sequences against standard T2-weighted sequences.
Main Methods:
- A 1.5 T DW black blood EPI sequence was used in 12 recent MI patients.
- Standard STIR T2-weighted sequences were acquired for comparison.
- Myocardial viability was assessed using delayed-enhancement sequences; images were analyzed qualitatively and quantitatively.
Main Results:
- DW EPI sequences demonstrated superior blood suppression compared to STIR T2-weighted sequences (P=0.01).
- Myocardial high signal areas were detected in 100% of patients using DW EPI versus 67% with STIR T2-weighted imaging.
- DW EPI correctly identified abnormalities in four patients with false-negative STIR T2 findings.
Conclusions:
- DW EPI sequences are a feasible and effective alternative for detecting myocardial signal abnormalities in recent MI.
- This technique shows promise for improving the diagnostic accuracy of MI assessment.
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