Predicting failures of suture anchors used for rotator cuff repair: A CT-based 3-dimensional finite element analysis

Hirotaka Sano, Kei Imagawa, Nobuyuki Yamamoto, Hiroshi Ozawa, A. Toshimitsu Yokobori, Eiji Itoi

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

BACKGROUND: Failure of inserted anchors has been recognized as one of the major pathomechanisms of re-tearing after rotator cuff repair. OBJECTIVE: To predict the inserted anchor failure using CT-based 3-dimensional finite element method (CT/3D-FEM). METHODS: Among twenty patients who underwent rotator cuff repair, 5 had anchor failure (failed anchor group) and 15 had no anchor failure (stable anchor group). A 3D model of proximal humerus was developed for each patient based on the CT data. A virtual pullout testing of TWINFIX™ anchors inserted into bone at 6 different sites was performed using FEM. Then, mean failure load of 6 anchors for each patient was compared between two groups. Moreover, an optimal cut-off value of the mean failure load was determined for predicting anchor failure. RESULTS: The mean failure load in the failed anchor group (70.3 N) was significantly lower than that in the stable anchor group (119.0 N; p < 0.0001). In our method, the optimum cut-off value of the mean failure load was 75.4 N. CONCLUSIONS: Failure of the inserted TWINFIX™ anchor could be predicted using CT/3D-FEM. In this method, there seemed to be a high risk of anchor failure in shoulders with a mean failure load of <75.4 N.

Original languageEnglish
Pages (from-to)371-380
Number of pages10
JournalBio-medical materials and engineering
Volume25
Issue number4
DOIs
Publication statusPublished - 2015 Aug 14

Keywords

  • Rotator cuff repair
  • computed tomography
  • finite element method
  • pullout strength
  • suture anchor

ASJC Scopus subject areas

  • Biomaterials
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Predicting failures of suture anchors used for rotator cuff repair: A CT-based 3-dimensional finite element analysis'. Together they form a unique fingerprint.

Cite this