Issue 64, 2020

Diagnosis and prognosis for exercise-induced muscle injuries: from conventional imaging to emerging point-of-care testing

Abstract

With the development of modern society, we have witnessed a significant increase of people who join in sport exercises, which also brings significantly increasing exercise-induced muscle injuries, resulting in reduction and even cessation of participation in sports and physical activities. Although severely injured muscles can hardly realize full functional restoration, skeletal muscles subjected to minor muscle injuries (e.g., tears, lacerations, and contusions) hold remarkable regeneration capacity to be healed without therapeutic interventions. However, delayed diagnosis or inappropriate prognosis will cause exacerbation of the injuries. Therefore, timely diagnosis and prognosis of muscle injuries is important to the recovery of injured muscles. Here, in this review, we discuss the definition and classification of exercise-induced muscle injuries, and then analyze their underlying mechanism. Subsequently, we provide detailed introductions to both conventional and emerging techniques for evaluation of exercise-induced muscle injuries with focus on emerging portable and wearable devices for point-of-care testing (POCT). Finally, we point out existing challenges and prospects in this field. We envision that an integrated system that combines physiological and biochemical analyses is anticipated to be realized in the future for assessing muscle injuries.

Graphical abstract: Diagnosis and prognosis for exercise-induced muscle injuries: from conventional imaging to emerging point-of-care testing

Article information

Article type
Review Article
Submitted
26 Aug 2020
Accepted
11 Oct 2020
First published
23 Oct 2020
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2020,10, 38847-38860

Diagnosis and prognosis for exercise-induced muscle injuries: from conventional imaging to emerging point-of-care testing

D. Tang, J. Hu, H. Liu, Z. Li, Q. Shi, G. Zhao, B. Gao, J. Lou, C. Yao and F. Xu, RSC Adv., 2020, 10, 38847 DOI: 10.1039/D0RA07321K

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