Trabecular bone texture analysis of conventional radiographs in the assessment of knee osteoarthritis: review and viewpoint

Almhdie-Imjabbar, Ahmad; Podsiadło, Paweł; Ljuhar, Richard; Jennane, Rachid; Nguyen, Khac Lan; Toumi, Hechmi; Saarakkala, Simo; Lespessailles, Éric

doi:10.1186/s13075-021-02594-9

Cited by 14 publications

(23 citation statements)

References 79 publications

(108 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Distribution of local stress in the subchondral bone is part of the parameters leading to the occurrence and development of the OA process as it has been demonstrated after changes in the joint’s biomechanical environment following anterior cruciate ligament injury 46 or associated with abnormal knee alignment 47 . Subchondral bone structure and texture analyses can thus be considered as relevant tools to reflect bone remodeling changes induced by the osteoarthritis disease process 19 .…”

Section: Discussionmentioning

confidence: 99%

“…Recently, trabecular bone texture (TBT) analysis of subchondral bone on conventional radiographs of the knee was shown to be a promising method for identifying patients at-risk of KOA progression 13 – 18 . An overview of the interest of TBT analysis in the assessment of KOA was recently published 19 . Applying a combined approach of new machine learning techniques and trabecular texture analysis has already been successfully used to improve the prediction of KOA progression in the Multicenter Osteoarthritis Study (MOST) and the OsteoArthritis Initiative (OAI) cohorts 20 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Subchondral tibial bone texture of conventional X-rays predicts total knee arthroplasty

Almhdie-Imjabbar

Toumi

Harrar

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

Lacking disease-modifying osteoarthritis drugs (DMOADs) for knee osteoarthritis (KOA), Total Knee Arthroplasty (TKA) is often considered an important clinical outcome. Thus, it is important to determine the most relevant factors that are associated with the risk of TKA. The present study aims to develop a model based on a combination of X-ray trabecular bone texture (TBT) analysis, and clinical and radiological information to predict TKA risk in patients with or at risk of developing KOA. This study involved 4382 radiographs, obtained from the OsteoArthritis Initiative (OAI) cohort. Cases were defined as patients with TKA on at least one knee prior to the 108-month follow-up time point and controls were defined as patients who had never undergone TKA. The proposed TKA-risk prediction model, combining TBT parameters and Kellgren–Lawrence (KL) grades, was performed using logistic regression. The proposed model achieved an AUC of 0.92 (95% Confidence Interval [CI] 0.90, 0.93), while the KL model achieved an AUC of 0.86 (95% CI 0.84, 0.86; p < 0.001). This study presents a new TKA prediction model with a good performance permitting the identification of at risk patient with a good sensitivy and specificity, with a 60% increase in TKA case prediction as reflected by the recall values.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Subchondral tibial bone texture of conventional X-rays predicts total knee arthroplasty

Almhdie-Imjabbar

Toumi

Harrar

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Trabecular bone texture (TBT) analysis of subchondral bone on knee plain radiographs has been described as a potential new and relevant imaging biomarker in the field of osteoarthritis [ 26 , 27 ]. There is a growing body of literature showing its usefulness in the early detection of radiograph KOA, the prediction of KOA progression and the prediction of KOA course until total knee arthroplasty (TKA).…”

Section: Introductionmentioning

confidence: 99%

Radiographic Biomarkers for Knee Osteoarthritis: A Narrative Review

Almhdie-Imjabbar¹,

Toumi

Lespessailles

2023

Life

View full text Add to dashboard Cite

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.

show abstract

“…Recently, several imaging modalities have been used to quantitatively assess subchondral microstructure. Radiography-based bone structure assessment has been performed using density measurement, fractal signature analysis, and trabecular microstructure analysis [8][9][10]. The results demonstrate that structural or density changes in the subchondral bone are associated with the onset and progression of OA.…”

Section: Introductionmentioning

confidence: 99%

Radiomics analysis using MR imaging of subchondral bone for identification of knee osteoarthritis

et al. 2022

View full text Add to dashboard Cite

Background To develop a magnetic resonance imaging (MRI)-based radiomics predictive model for the identification of knee osteoarthritis (OA), based on the tibial and femoral subchondral bone, and compare with the trabecular structural parameter-based model. Methods Eighty-eight consecutive knees were scanned with 3T MRI and scored using MRI osteoarthritis Knee Scores (MOAKS), in which 56 knees were diagnosed to have OA. The modality of sagittal three-dimensional balanced fast-field echo sequence (3D BFFE) was used to image the subchondral bone. Four trabecular structural parameters (bone volume fraction [BV/TV], trabecular thickness [Tb.Th], trabecular separation [Tb.Sp], and trabecular number) and 93 radiomics features were extracted from four regions of the lateral and medial aspects of the femur condyle and tibial plateau. Least absolute shrinkage and selection operator (LASSO) was used for feature selection. Machine learning-based support vector machine models were constructed to identify knee OA. The performance of the models was assessed by area under the curve (AUC) of the receiver operator characteristic (ROC). The correlation between radiomics features and trabecular structural parameters was analyzed using Pearson’s correlation coefficient. Results Our radiomics-based classification model achieved the AUC score of 0.961 (95% confidence interval [CI], 0.912–1.000) when distinguishing between normal and knee OA, which was higher than that of the trabecular parameter-based model (AUC, 0.873; 95% CI, 0.788–0.957). The first-order, texture, and Laplacian of Gaussian-based radiomics features correlated positively with Tb.Th and BV/TV, but negatively with Tb.Sp (P < 0.05). Conclusions Our results suggested that our MRI-based radiomics models can be used as biomarkers for the classification of OA and are superior to the conventional structural parameter-based model.

show abstract

Trabecular bone texture analysis of conventional radiographs in the assessment of knee osteoarthritis: review and viewpoint

Cited by 14 publications

References 79 publications

Subchondral tibial bone texture of conventional X-rays predicts total knee arthroplasty

Subchondral tibial bone texture of conventional X-rays predicts total knee arthroplasty

Radiographic Biomarkers for Knee Osteoarthritis: A Narrative Review

Radiomics analysis using MR imaging of subchondral bone for identification of knee osteoarthritis

Contact Info

Product

Resources

About