Radiographic Biomarkers for Knee Osteoarthritis: A Narrative Review.
Ahmad Almhdie-ImjabbarHechmi ToumiEric LespessaillesPublished in: Life (Basel, Switzerland) (2023)
Conventional radiography remains the most widely available imaging modality in clinical practice in knee osteoarthritis. Recent research has been carried out to develop novel radiographic biomarkers to establish the diagnosis and to monitor the progression of the disease. The growing number of publications on this topic over time highlights the necessity of a renewed review. Herein, we propose a narrative review of a selection of original full-text articles describing human studies on radiographic imaging biomarkers used for the prediction of knee osteoarthritis-related outcomes. To achieve this, a PubMed database search was used. A total of 24 studies were obtained and then classified based on three outcomes: (1) prediction of radiographic knee osteoarthritis incidence, (2) knee osteoarthritis progression and (3) knee arthroplasty risk. Results showed that numerous studies have reported the relevance of joint space narrowing score, Kellgren-Lawrence score and trabecular bone texture features as potential bioimaging markers in the prediction of the three outcomes. Performance results of reviewed prediction models were presented in terms of the area under the receiver operating characteristic curves. However, fair and valid comparisons of the models' performance were not possible due to the lack of a unique definition of each of the three outcomes.
Keyphrases
- knee osteoarthritis
- clinical practice
- high resolution
- bone mineral density
- emergency department
- magnetic resonance imaging
- endothelial cells
- risk factors
- case control
- type diabetes
- computed tomography
- metabolic syndrome
- skeletal muscle
- quantum dots
- weight loss
- image quality
- smoking cessation
- fluorescent probe
- glycemic control
- drug induced
- soft tissue