Automated 3D Analysis of Clinical Magnetic Resonance Images Demonstrates Significant Reductions in Cam Morphology Following Arthroscopic Intervention in Contrast to Physiotherapy.


Journal

Arthroscopy, sports medicine, and rehabilitation
ISSN: 2666-061X
Titre abrégé: Arthrosc Sports Med Rehabil
Pays: United States
ID NLM: 101765256

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 27 12 2021
accepted: 19 04 2022
entrez: 29 8 2022
pubmed: 30 8 2022
medline: 30 8 2022
Statut: epublish

Résumé

To obtain automated measurements of cam volume, surface area, and height from baseline (preintervention) and 12-month magnetic resonance (MR) images acquired from male and female patients allocated to physiotherapy (PT) or arthroscopic surgery (AS) management for femoroacetabular impingement (FAI) in the Australian FASHIoN trial. An automated segmentation pipeline (CamMorph) was used to obtain cam morphology data from three-dimensional (3D) MR hip examinations in FAI patients classified with mild, moderate, or major cam volumes. Pairwise comparisons between baseline and 12-month cam volume, surface area, and height data were performed within the PT and AS patient groups using paired A total of 43 patients were included with 15 PT patients (9 males, 6 females) and 28 AS patients (18 males, 10 females) for premanagement and postmanagement cam morphology assessments. Within the PT male and female patient groups, there were no significant differences between baseline and 12-month mean cam volume (male: 1269 vs 1288 mm Automated measurement of cam morphology from baseline (preintervention) and 12-month MR images demonstrated that the cam volume, surface area, maximum-height, and average height were significantly smaller in AS patients following ostectomy, whereas there were no significant differences in these cam measures in PT patients from the Australian FASHIoN study. Level II, cohort study.

Identifiants

pubmed: 36033193
doi: 10.1016/j.asmr.2022.04.020
pii: S2666-061X(22)00062-1
pmc: PMC9402425
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e1353-e1362

Informations de copyright

© 2022 The Authors.

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Auteurs

Jessica M Bugeja (JM)

School of Information Technology and Electrical Engineering, The University of Queensland, Australia.
Australian e-Health Research Centre, CSIRO Health and Biosecurity, Australia.

Ying Xia (Y)

Australian e-Health Research Centre, CSIRO Health and Biosecurity, Australia.

Shekhar S Chandra (SS)

School of Information Technology and Electrical Engineering, The University of Queensland, Australia.

Nicholas J Murphy (NJ)

Kolling Institute of Medical Research, Institute of Bone and Joint Research, University of Sydney, Australia.
Department of Orthopaedic Surgery, John Hunter Hospital, Newcastle, Australia.

Jillian Eyles (J)

Kolling Institute of Medical Research, Institute of Bone and Joint Research, University of Sydney, Australia.
Department of Rheumatology, Royal North Shore Hospital, St. Leonards, Australia.

Libby Spiers (L)

Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, University of Melbourne, Melbourne, Australia.

Stuart Crozier (S)

School of Information Technology and Electrical Engineering, The University of Queensland, Australia.

David J Hunter (DJ)

Kolling Institute of Medical Research, Institute of Bone and Joint Research, University of Sydney, Australia.
Department of Rheumatology, Royal North Shore Hospital, St. Leonards, Australia.

Jurgen Fripp (J)

Australian e-Health Research Centre, CSIRO Health and Biosecurity, Australia.
Kolling Institute of Medical Research, Institute of Bone and Joint Research, University of Sydney, Australia.
Department of Rheumatology, Royal North Shore Hospital, St. Leonards, Australia.

Craig Engstrom (C)

School of Human Movement Studies, The University of Queensland, Australia.

Classifications MeSH