Automated 3-Dimensional Magnetic Resonance Imaging Allows for Accurate Evaluation of Glenoid Bone Loss Compared With 3-Dimensional Computed Tomography.


Journal

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
ISSN: 1526-3231
Titre abrégé: Arthroscopy
Pays: United States
ID NLM: 8506498

Informations de publication

Date de publication:
03 2019
Historique:
received: 26 06 2018
revised: 25 10 2018
accepted: 25 10 2018
pubmed: 9 2 2019
medline: 25 2 2020
entrez: 9 2 2019
Statut: ppublish

Résumé

To evaluate clinical measurements of glenoid bone loss based on 3-dimensional (3D) computed tomography (CT) and automatically segmented 3D reconstructions from Dixon fat-water magnetic resonance (MR) imaging. Available CT and MR studies from 16 patients with recurrent anterior shoulder instability were retrospectively reviewed. Three-dimensional reconstructions were formed independently by 2 observers using freely available software and a simple threshold-based segmentation (3D Slicer, version 4.8.0; http://www.slicer.org). Bone loss was estimated with the perfect-circle method. Intra-user and interuser reproducibility was determined with intraclass correlation coefficients. Bland-Altman plots were used to evaluate the similarity between imaging modalities. Differences between MR and CT estimates of bone loss ranged from 0% to 6%. The individual intraclass correlation coefficients showed good to excellent reliability, with intraobserver comparisons between MR- and CT-based bone loss estimates ranging from 0.94 to 0.99. Bland-Altman plots showed 95% confidence intervals from -5% to 6% for differences between MR and CT estimates, with 88% of all measurements (42 of 48) showing a less than 2% difference between MR and CT estimates. The described methodology for obtaining an MR-based 3D reconstruction of the glenoid can evaluate glenoid bone loss similarly to the performance of a 3D CT reconstruction. The results may allow surgeons to simplify the preoperative imaging protocol for patients with recurrent shoulder stabilization and limit the number of shoulder CT scans. Level III, retrospective therapeutic trial.

Identifiants

pubmed: 30733040
pii: S0749-8063(18)31003-X
doi: 10.1016/j.arthro.2018.10.119
pii:
doi:

Types de publication

Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

734-740

Informations de copyright

Copyright © 2019 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

Auteurs

Drew A Lansdown (DA)

Department of Orthopedic Surgery, University of California, San Francisco, San Francisco, California, U.S.A.. Electronic address: drew.lansdown@ucsf.edu.

Gregory L Cvetanovich (GL)

Department of Orthopaedics, The Ohio State University Wexner Medical Center, Columbus, Ohio.

Nikhil N Verma (NN)

Department of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.

Brian J Cole (BJ)

Department of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.

Bernard R Bach (BR)

Department of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.

Gregory Nicholson (G)

Department of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.

Anthony Romeo (A)

Department of Orthopedic Surgery, Rothman Institute-New York, New York, New York, U.S.A.

Robert Dawe (R)

Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, U.S.A.

Adam B Yanke (AB)

Department of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.

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Classifications MeSH