The science of rotator cuff tears: translating animal models to clinical recommendations using simulation analysis.

Journal Article (Journal Article;Review)

PURPOSE: The purpose of this article is to review basic science studies using various animal models for rotator cuff research and to describe structural, biomechanical, and functional changes to muscle following rotator cuff tears. The use of computational simulations to translate the findings from animal models to human scale is further detailed. METHODS: A comprehensive review was performed of the basic science literature describing the use of animal models and simulation analysis to examine muscle function following rotator cuff injury and repair in the ageing population. RESULTS: The findings from various studies of rotator cuff pathology emphasize the importance of preventing permanent muscular changes with detrimental results. In vivo muscle function, electromyography, and passive muscle-tendon unit properties were studied before and after supraspinatus tenotomy in a rodent rotator cuff injury model (acute vs chronic). Then, a series of simulation experiments were conducted using a validated computational human musculoskeletal shoulder model to assess both passive and active tension of rotator cuff repairs based on surgical positioning. CONCLUSION: Outcomes of rotator cuff repair may be improved by earlier surgical intervention, with lower surgical repair tensions and fewer electromyographic neuromuscular changes. An integrated approach of animal experiments, computer simulation analyses, and clinical studies may allow us to gain a fundamental understanding of the underlying pathology and interpret the results for clinical translation.

Full Text

Duke Authors

Cited Authors

  • Mannava, S; Plate, JF; Tuohy, CJ; Seyler, TM; Whitlock, PW; Curl, WW; Smith, TL; Saul, KR

Published Date

  • July 2013

Published In

Volume / Issue

  • 21 / 7

Start / End Page

  • 1610 - 1619

PubMed ID

  • 22842677

Electronic International Standard Serial Number (EISSN)

  • 1433-7347

Digital Object Identifier (DOI)

  • 10.1007/s00167-012-2145-9


  • eng

Conference Location

  • Germany