Femoral cartilage ultrasound echo-intensity is a valid measure of cartilage composition.

MRI T2 relaxation times articular cartilage trochlea ultrasonography

Journal

Journal of orthopaedic research : official publication of the Orthopaedic Research Society
ISSN: 1554-527X
Titre abrégé: J Orthop Res
Pays: United States
ID NLM: 8404726

Informations de publication

Date de publication:
24 Oct 2023
Historique:
revised: 17 08 2023
received: 30 05 2023
accepted: 17 10 2023
pubmed: 24 10 2023
medline: 24 10 2023
entrez: 24 10 2023
Statut: aheadofprint

Résumé

This study aimed to create a conversion equation that accurately predicts cartilage magnetic resonance imaging (MRI) T2 relaxation times using ultrasound echo-intensity and common participant demographics. We recruited 15 participants with a primary anterior cruciate ligament reconstruction between the ages of 18 and 35 years at 1-5 years after surgery. A single investigator completed a transverse suprapatellar scan with the ACLR limb in max knee flexion to image the femoral trochlea cartilage. A single reader manually segmented the femoral cartilage cross-sectional area to assess the echo-intensity (i.e., mean gray-scale pixel value). At a separate visit, a T2 mapping sequence with the MRI beam set to an oblique angle was used to image the femoral trochlea cartilage. A single reader manually segmented the cartilage cross-sectional area on a single MRI slice to assess the T2 relaxation time. A stepwise, multiple linear regression was used to predict T2 relaxation time from cartilage echo-intensity and common demographic variables. We created a conversion equation using the regression betas and then used an ICC and Bland-Altman plot to assess agreement between the estimated and true T2 relaxation time. Cartilage ultrasound echo-intensity and age significantly predicted T2 relaxation time (F = 7.33, p = 0.008, R

Identifiants

pubmed: 37874323
doi: 10.1002/jor.25722
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIAMS NIH HHS
ID : K01 AR081389
Pays : United States

Informations de copyright

© 2023 The Authors. Journal of Orthopaedic Research® published by Wiley Periodicals LLC on behalf of Orthopaedic Research Society.

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Auteurs

Matthew S Harkey (MS)

Department of Kinesiology, Michigan State University, East Lansing, Michigan, USA.

Nicholas Michel (N)

College of Osteopathic Medicine, Michigan State University, East Lansing, Michigan, USA.

Corey Grozier (C)

Department of Kinesiology, Michigan State University, East Lansing, Michigan, USA.

Jill M Slade (JM)

Department of Radiology, Michigan State University, East Lansing, Michigan, USA.

Katherine Collins (K)

Department of Kinesiology, Michigan State University, East Lansing, Michigan, USA.

Brian Pietrosimone (B)

Department of Exercise and Sports Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

David Lalush (D)

Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Caroline Lisee (C)

Department of Exercise and Sports Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Ilker Hacihaliloglu (I)

Department of Radiology, Department of Medicine, University of British Columbia, Vancouver, Canada.

Ryan Fajardo (R)

Department of Radiology, Michigan State University, East Lansing, Michigan, USA.
Lansing Radiology Associates, Lansing, Michigan, USA.

Classifications MeSH