Exercise-induced calf muscle hyperemia quantified with dynamic blood oxygen level-dependent (BOLD) imaging.

Calf muscle Magnetic resonance imaging Muscle hyperemia Tissue oxygenation Vasodilation

Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
04 Apr 2024
Historique:
received: 11 08 2023
revised: 03 04 2024
accepted: 03 04 2024
medline: 7 4 2024
pubmed: 7 4 2024
entrez: 6 4 2024
Statut: aheadofprint

Résumé

Muscle hyperemia in exercise is usually the combined result of increased cardiac output and local muscle vasodilation, with the latter reflecting muscle's capacity for increased blood perfusion to support exercise. In this study, we aim to quantify muscle's vasodilation capability with dynamic BOLD imaging. A deoxyhemoglobin-kinetics model is proposed to analyze dynamic BOLD signals acquired during exercise recovery, deriving a hyperemia index (HI) for a muscle group of interest. We demonstrated the method's validity with calf muscles of healthy subjects who performed plantar flexion for muscle stimulation. In a test with exercise load incrementally increasing from 0 to 16 lbs., gastrocnemius HI showed considerable variance among the 4 subjects, but with a consistent trend, i.e. low at light load (e.g. 0-6 lbs) and linearly increasing at heavy load. The high variability among different subjects was confirmed with the other 10 subjects who exercised with a same moderate load of 8 lbs., with coefficient of variance among subjects' medial gastrocnemius 87.8%, lateral gastrocnemius 111.8% and soleus 132.3%. These findings align with the fact that intensive exercise induces high muscle hyperemia, but a comparison among different subjects is hard to make, presumably due to the subjects' different rate of oxygen utilization. For the same 10 subjects who exercised with load of 8 lbs., we also performed dynamic contrast enhanced (DCE) MRI to measure muscle perfusion (F). With a moderate correlation of 0.654, HI and F displayed three distinctive responses of calf muscles: soleus of all the subjects were in the cluster of low F and low HI, and gastrocnemius of most subjects had high F and either low or high HI. This finding suggests that parameter F encapsulates blood flow through vessels of all sizes, but BOLD-derived HI focuses on capillary flow and therefore is a more specific indicator of muscle vasodilation. In conclusion, the proposed hyperemia index has the potential of quantitatively assessing muscle vasodilation induced with exercise.

Identifiants

pubmed: 38582100
pii: S0730-725X(24)00116-4
doi: 10.1016/j.mri.2024.04.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest None.

Auteurs

Yujie Wang (Y)

School of Biomedical Engineering, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China; School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China.

Wanning Zeng (W)

School of Biomedical Engineering, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China.

Chang Ni (C)

School of Biomedical Engineering, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China.

Xiangwei Kong (X)

School of Biomedical Engineering, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China; School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China.

Xin Mu (X)

School of Biomedical Engineering, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China.

Christopher C Conlin (CC)

Department of Radiology, University of California San Diego, 9500 Gilman Dr. La Jolla, CA 92093, USA.

Haikun Qi (H)

School of Biomedical Engineering, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China.

Jeff L Zhang (JL)

School of Biomedical Engineering, ShanghaiTech University, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China. Electronic address: jefflzhang@hotmail.com.

Classifications MeSH