Preoperative magnetic resonance imaging predicts eligibility for arthroscopic primary anterior cruciate ligament repair. Academic Article uri icon

Overview

abstract

  • PURPOSE: To assess the role of preoperative magnetic resonance imaging (MRI) on the eligibility for arthroscopic primary anterior cruciate ligament (ACL) repair. METHODS: All patients undergoing ACL surgery between 2008 and 2017 were included. Patients underwent arthroscopic primary repair if sufficient tissue length and quality were present, or they underwent single-bundle ACL reconstruction. Preoperative MRI tear locations were graded with the modified Sherman classification: type I (>90% distal remnant length), type II (75-90%), or type III (25-75%). MRI tissue quality was graded as good, fair, or poor. Arthroscopy videos were reviewed for tissue length and quality, and final treatment. RESULTS: Sixty-three repair patients and 67 reconstruction patients were included. Repair patients had more often type I tears (41 vs. 4%, p < 0.001) and good tissue quality (89 vs. 12%, p < 0.001). Preoperative MRI tear location and tissue quality predicted eligibility for primary repair: 90% of all type I tears and 88% of type II tears with good tissue quality were repaired, while only 23% of type II tears with fair tissue quality, 0% of type II tears with poor tissue quality, and 14% of all type III tears could be repaired. CONCLUSIONS: This study showed that tear location and tissue quality on preoperative MRI can predict eligibility for arthroscopic primary ACL repair. These findings may guide the orthopaedic surgeon on the preoperative assessment for arthroscopic primary repair of proximal ACL tears. LEVEL OF EVIDENCE: Level IV.

publication date

  • July 13, 2017

Research

keywords

  • Anterior Cruciate Ligament Injuries
  • Anterior Cruciate Ligament Reconstruction
  • Arthroscopy
  • Magnetic Resonance Imaging
  • Predictive Value of Tests

Identity

Scopus Document Identifier

  • 85023747551

Digital Object Identifier (DOI)

  • 10.1007/s00167-017-4646-z

PubMed ID

  • 28707115

Additional Document Info

volume

  • 26

issue

  • 2