Time series analysis of ex-vivo ischemia-reperfused heart using Q-space imaging

In the evaluation of myocardial infarction, cardiac MRI remains problematic in terms of sensitivity and quantitativeness. Thus, we sought to delineate pathological microstructural alterations across temporal phases subsequent to myocardial ischemia-reperfusion (IR) injury utilizing q-space imaging (QSI), an advanced diffusion imaging methodology proficient in assessing the non-Gaussian diffusion patterns of molecules. Rats were subjected to IR injury, and infarct was evaluated at 2, 7, and 30 days via histopathological staining and MRI using a 9.4-Tesla system. QSI was performed with gadolinium-enhanced T1-weighted imaging (T1WI) for comparative assessment. Correlation coefficients among images were computed at each level of the left ventricular short-axis cross-section to juxtapose the infarct dimensions and morphology. Axial diffusivity of the kurtosis maps at 2, 7, and 30 days revealed substantial correlations with the hyperintense areas noted on T1WI (R<sup>2</sup> = 0.885, 0.947, and 0.929, respectively). Furthermore, a strong correlation was noted with the transmural extent of infarction. Even in the absence of gadolinium contrast, the high-intensity regions delineated by QSI were concordant with the extent of pathological infarction (R<sup>2</sup> = 0.977). These findings highlight the capability of QSI in identifying pathological changes at the infarct site, independent of gadolinium contrast media and irrespective of the temporal phase subsequent to the IR onset.

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Journal
Scientific Reports
Published
2025-08-10
DOI
https://doi.org/10.1038/s41598-025-14394-1
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Time series analysis of ex-vivo ischemia-reperfused heart using Q-space imaging

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Scientific Reports
Advanced Neuroimaging Techniques and Applications
article

Time series analysis of ex-vivo ischemia-reperfused heart using Q-space imaging

Kazuhisa Sugai, Yoshinori Katsumata, Masaya Nakamura, Motoaki Sano, Hideyuki Okano, Yuji Iwasawa, D. Nakashima, Genki Ichihara, Junichi Hata, Kyohei Daigo, Kazuki Sato
article en

Abstract

In the evaluation of myocardial infarction, cardiac MRI remains problematic in terms of sensitivity and quantitativeness. Thus, we sought to delineate pathological microstructural alterations across temporal phases subsequent to myocardial ischemia-reperfusion (IR) injury utilizing q-space imaging (QSI), an advanced diffusion imaging methodology proficient in assessing the non-Gaussian diffusion patterns of molecules. Rats were subjected to IR injury, and infarct was evaluated at 2, 7, and 30 days via histopathological staining and MRI using a 9.4-Tesla system. QSI was performed with gadolinium-enhanced T1-weighted imaging (T1WI) for comparative assessment. Correlation coefficients among images were computed at each level of the left ventricular short-axis cross-section to juxtapose the infarct dimensions and morphology. Axial diffusivity of the kurtosis maps at 2, 7, and 30 days revealed substantial correlations with the hyperintense areas noted on T1WI (R<sup>2</sup> = 0.885, 0.947, and 0.929, respectively). Furthermore, a strong correlation was noted with the transmural extent of infarction. Even in the absence of gadolinium contrast, the high-intensity regions delineated by QSI were concordant with the extent of pathological infarction (R<sup>2</sup> = 0.977). These findings highlight the capability of QSI in identifying pathological changes at the infarct site, independent of gadolinium contrast media and irrespective of the temporal phase subsequent to the IR onset.

Scientific ReportsVol. 15(1)
Nippon Veterinary and Life Science University (JP), Yamaguchi University (JP), Keio University (JP), RIKEN Center for Brain Science (JP), Keio University Hospital (JP), Tokyo Metropolitan University (JP)
Japan Agency for Medical Research and Development
Good health and well-being
Openalex Percentile: Top 71%
Advanced Neuroimaging Techniques and Applications
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