» Articles » PMID: 23719076

Osteoarthritis: a Review of Strengths and Weaknesses of Different Imaging Options

Overview
Publisher Elsevier
Specialty Rheumatology
Date 2013 May 31
PMID 23719076
Citations 29
Authors
Affiliations
Soon will be listed here.
Abstract

Slowing of radiographic joint space narrowing represents the only recommended imaging-based outcome measure to assess structural disease progression in osteoarthritis (OA) clinical trials. There are no effective disease-modifying OA drugs. The ability of magnetic resonance (MR) to image structures within the knee and to visualize cartilage morphology and composition gives MR imaging a critical role in understanding the natural history of the disease and in the search for therapies. In this article, the roles and limitations of conventional radiography and MR imaging, focusing on knee OA, and the use of other modalities in clinical practice and OA research are described.

Citing Articles

Investigating the relationship between radiographic joint space width loss and deep learning-derived magnetic resonance imaging-based cartilage thickness loss in the medial weight-bearing region of the tibiofemoral joint.

Minnig M, Arbeeva L, Niethammer M, Nissman D, Lund J, Marron J Osteoarthr Cartil Open. 2024; 6(3):100508.

PMID: 39238657 PMC: 11375264. DOI: 10.1016/j.ocarto.2024.100508.


Identification of diagnostic biomarkers for osteoarthritis through bioinformatics and machine learning.

Wang K, Li Y, Lin J Heliyon. 2024; 10(6):e27506.

PMID: 38496843 PMC: 10944228. DOI: 10.1016/j.heliyon.2024.e27506.


Epidemiology of osteoarthritis: literature update 2022-2023.

Minnig M, Golightly Y, Nelson A Curr Opin Rheumatol. 2024; 36(2):108-112.

PMID: 38240280 PMC: 10965245. DOI: 10.1097/BOR.0000000000000985.


Short-term variations in trabecular bone texture parameters associated to radio-clinical biomarkers improve the prediction of radiographic knee osteoarthritis progression.

Almhdie-Imjabbar A, Toumi H, Lespessailles E Sci Rep. 2023; 13(1):21952.

PMID: 38081898 PMC: 10713565. DOI: 10.1038/s41598-023-48016-5.


Automated machine learning-based prediction of the progression of knee pain, functional decline, and incidence of knee osteoarthritis in individuals at high risk of knee osteoarthritis: Data from the osteoarthritis initiative study.

Chen T, Or C Digit Health. 2023; 9:20552076231216419.

PMID: 38033512 PMC: 10685797. DOI: 10.1177/20552076231216419.