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Diffusion Tensor Imaging and Evaluation of Cardiac Ischemic Disorders: A Systematic Review
Hossein Iezi1, Maryam Zamanian1, Kasra Talebi2
1Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran (H.I., M.Z., I.A.).
Diffusion Tensor Imaging (DTI) shows promise as a non-invasive diagnostic tool for myocardial infarction (MI). DTI indices change predictably in infarcted heart tissue, aiding in diagnosis and monitoring of cardiac remodeling.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Radiology
Background:
- Myocardial infarction (MI) significantly impacts cardiac function, necessitating improved diagnostic methods beyond invasive procedures like cardiac biopsy.
- Diffusion Tensor Imaging (DTI) offers a potential non-invasive alternative for assessing myocardial structural changes.
Purpose of the Study:
- To systematically review the utility of DTI in diagnosing and characterizing myocardial infarction (MI) and associated cardiac remodeling.
- To evaluate DTI's potential as a diagnostic tool compared to existing methods.
Main Methods:
- A systematic review of articles from 2010-2023 in major electronic databases (PubMed, Scopus, Embase, Scholar).
- Inclusion criteria focused on DTI evaluation in MI patients versus standard myocardial structure, excluding studies solely on ischemic disorders.
- Methodological quality assessed using the QUADAS-2 tool.
Main Results:
- Sixteen articles (6 human, 10 animal) were selected, revealing consistent DTI index changes in infarcted regions (lower FA, RD, AD; higher MD).
- These trends were observed in both acute and chronic MI, and during microstructure remodeling assessment.
- Findings were confirmed in preclinical human studies, suggesting DTI's diagnostic potential.
Conclusions:
- Observed trends in DTI indices for acute (AMI) and chronic (CMI) myocardial infarction suggest their suitability as diagnostic markers.
- Further research is recommended to explore factors like B-value and environmental conditions influencing DTI.
- Limitations included small sample sizes and potential bias in patient selection.
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