In:
Journal of Magnetic Resonance Imaging, Wiley, Vol. 47, No. 5 ( 2018-05), p. 1406-1414
Abstract:
Both acute and chronic myocardial infarction (AMI and CMI, respectively) exhibit delayed enhancement; however, clinical decision‐making processes frequently require the differentiation of these two types of myocardial injury. Purpose To investigate the reliability of AMI and CMI characterization using native T 1 mapping and its feasibility for discriminating AMI from CMI. Study Type Case–control. Animal Model The study cohort comprised 12 AMI (mean post‐MI, 3.75 ± 1.29 days) and 15 CMI (mean post‐MI, 39.53 ± 6.10 days) Bama mini‐pigs. Field Strength/Sequence Balanced steady‐state free precession (bSSFP), segmented‐turbo‐FLASH‐PSIR, and modified Look–Locker inversion recovery (MOLLI) sequences at 3.0T. Assessment The infarct sizes were compared on matching short‐axis slices of late‐gadolinium‐enhanced (LGE) images and T 1 maps by two experienced radiologists. Statistical Tests The infarct sizes were compared on matching short‐axis slices of LGE images and T 1 maps, and agreement was determined using linear regression and Bland–Altman analyses. The native T 1 values were compared between AMI and CMI models (independent sample t ‐test). The intraclass correlation coefficient was used to assess inter‐ and intraobserver variability. Results Measured infarct sizes did not differ between native T 1 mapping and LGE images (AMI: P = 0.913; CMI: P = 0.233), and good agreement was observed between the two techniques (AMI: bias, –3.38 ± 19.38%; R 2 = 0.96; CMI: bias, –10.55 ± 10.90%; R 2 = 0.90). However, the native infarction myocardium T 1 values and the T 1 signal intensity ratio of infarct and remote myocardium (T 1 SI ratio) did not differ significantly between AMI and CMI ( P = 0.173). Data Conclusion Noncontrast native T 1 mapping can accurately determine acute and chronic infarct areas as well as conventional LGE imaging; however, it cannot distinguish acute from chronic MI. Level of Evidence: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1406–1414.
Type of Medium:
Online Resource
ISSN:
1053-1807
,
1522-2586
Language:
English
Publisher:
Wiley
Publication Date:
2018
detail.hit.zdb_id:
1497154-9
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