Cross-Sectional Nakagami Images in Passive Stretches Reveal Damage of Injured Muscles

Shih Ping Lin, Yi Hsun Lin, Shih Chen Fan, Bu-Miin Huang, Wei Yin Lin, Shyh-Hau Wang, K. Kirk Shung, Fong-chin Su, Chia-Ching Wu

Research output: Contribution to journalArticle

Abstract

Muscle strain is still awanting a noninvasive quantitatively diagnosis tool. High frequency ultrasound (HFU) improves image resolution for monitoring changes of tissue structures, but the biomechanical factors may influence ultrasonography during injury detection. We aim to illustrate the ultrasonic parameters to present the histological damage of overstretched muscle with the consideration of biomechanical factors. Gastrocnemius muscles from mice were assembled and ex vivo passive stretching was performed before or after injury. After injury, the muscle significantly decreased mechanical strength. Ultrasonic images were obtained by HFU at different deformations to scan in cross and longitudinal orientations of muscle. The ultrasonography was quantified by echogenicity and Nakagami parameters (NP) for structural evaluation and correlated with histological results. The injured muscle at its original length exhibited decreased echogenicity and NP from HFU images. Cross-sectional ultrasonography revealed a loss of correlation between NP and passive muscle stretching that suggested a special scatterer pattern in the cross section of injured muscle. The independence of NP during passive stretching of injured muscle was confirmed by histological findings in ruptured collagen fibers, decreased muscle density, and increased intermuscular fiber space. Thus, HFU analysis of NP in cross section represents muscle injury that may benefit the clinical diagnosis.

Original languageEnglish
Article number6893712
JournalBioMed research international
Volume2016
DOIs
Publication statusPublished - 2016 Jan 1

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Muscle
Muscles
Muscle Stretching Exercises
Ultrasonics
Ultrasonography
Stretching
Wounds and Injuries
Fibers
Image resolution
Strength of materials
Skeletal Muscle
Collagen
Tissue
Monitoring

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

Cite this

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abstract = "Muscle strain is still awanting a noninvasive quantitatively diagnosis tool. High frequency ultrasound (HFU) improves image resolution for monitoring changes of tissue structures, but the biomechanical factors may influence ultrasonography during injury detection. We aim to illustrate the ultrasonic parameters to present the histological damage of overstretched muscle with the consideration of biomechanical factors. Gastrocnemius muscles from mice were assembled and ex vivo passive stretching was performed before or after injury. After injury, the muscle significantly decreased mechanical strength. Ultrasonic images were obtained by HFU at different deformations to scan in cross and longitudinal orientations of muscle. The ultrasonography was quantified by echogenicity and Nakagami parameters (NP) for structural evaluation and correlated with histological results. The injured muscle at its original length exhibited decreased echogenicity and NP from HFU images. Cross-sectional ultrasonography revealed a loss of correlation between NP and passive muscle stretching that suggested a special scatterer pattern in the cross section of injured muscle. The independence of NP during passive stretching of injured muscle was confirmed by histological findings in ruptured collagen fibers, decreased muscle density, and increased intermuscular fiber space. Thus, HFU analysis of NP in cross section represents muscle injury that may benefit the clinical diagnosis.",
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Cross-Sectional Nakagami Images in Passive Stretches Reveal Damage of Injured Muscles. / Lin, Shih Ping; Lin, Yi Hsun; Fan, Shih Chen; Huang, Bu-Miin; Lin, Wei Yin; Wang, Shyh-Hau; Shung, K. Kirk; Su, Fong-chin; Wu, Chia-Ching.

In: BioMed research international, Vol. 2016, 6893712, 01.01.2016.

Research output: Contribution to journalArticle

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AU - Lin, Wei Yin

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AU - Shung, K. Kirk

AU - Su, Fong-chin

AU - Wu, Chia-Ching

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