Quantitative susceptibility mapping of the human carotid artery: Assessing sensitivity to elastin and collagen ex vivo.

IF 3 3区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic Resonance in Medicine Pub Date : 2025-03-28 DOI:10.1002/mrm.30500

Alan J Stone, Brooke Tornifoglio, Francesco Digeronimo, Karin Shmueli, Caitríona Lally

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引用次数: 0

Abstract

Purpose: The aim is to establish the relationship between carotid susceptibility and microstructural components in diseased carotid arteries.

Methods: Excised cadaveric carotid arteries (n = 5) were scanned using high-resolution QSM at 7 Tesla. After ex vivo imaging, all samples were brought to histology and stained for elastin, collagen, cells, and calcium. An image registration pipeline was used in combination with semi-quantitative, regional histology analysis to evaluate relationships between MRI and microstructural components.

Results: Weak, non-significant (p > 0.05) correlations were found between all components and regional magnitude and R₂* measurements. A significant, moderate negative correlation between the elastin fraction and regional magnetic susceptibility, r_elastin = -0.63 (p < 0.0001) was found, as well as a significant, moderate negative correlation between collagen and regional magnetic susceptibility, r_collagen = -0.59 (p < 0.0001).

Conclusion: Tissue magnetic susceptibility in diseased human carotid arteries was shown to be significantly correlated with the dominant microstructural components of pathological human cadaver samples-elastin and collagen. Knowing that elastin and collagen are disrupted in vascular disease progression, QSM offers clinically translatable potential for novel disease biomarkers.

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来源期刊

Magnetic Resonance in Medicine 医学-核医学

CiteScore

6.70

自引率

24.20%

发文量

376

审稿时长

2-4 weeks

期刊介绍： Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.