A signature dissimilarity measure for trabecular bone texture in knee radiographs

Woloszynski, Tomasz; Podsiadło, Paweł; Stachowiak, Gwidon; Kurzyński, Marek

doi:10.1118/1.3373522

Cited by 42 publications

(31 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Our approach included the whole proximal tibial trabecular bone, mapping the area with 16 different ROIs to cover the global aspect of knee OA as defined by Loeser 3 . We have already demonstrated that relevant information to detect the risk of OA progression is provided by both lateral and distal subchondral bone regions at the tibia and not only by the medial one 27,46 .…”

Section: Discussionmentioning

confidence: 97%

Subchondral tibial bone texture predicts the incidence of radiographic knee osteoarthritis: data from the Osteoarthritis Initiative

Janvier

Jennane

Toumi

et al. 2017

Osteoarthritis and Cartilage

View full text Add to dashboard Cite

Several differences were found between the models predictive of three different outcomes (KL, JSN and TOS), indicating different underlying mechanisms. These results suggest that TBT parameters assessed when radiographic signs are not yet apparent on radiographs may be useful in predicting the onset of radiological tibiofemoral OA as well as identifying at-risk patients for future clinical trials.

show abstract

Section: Discussionmentioning

confidence: 97%

Subchondral tibial bone texture predicts the incidence of radiographic knee osteoarthritis: data from the Osteoarthritis Initiative

Janvier

Jennane

Toumi

et al. 2017

Osteoarthritis and Cartilage

View full text Add to dashboard Cite

show abstract

“…The size and placement of bone regions were identical to those that produced the strongest signal related to OA detection 12 and used in the prediction of OA 6 . Details of accuracy of the bone region selection are given in Section 4 of the Appendix.…”

Section: Methodsmentioning

confidence: 99%

Baseline trabecular bone and its relation to incident radiographic knee osteoarthritis and increase in joint space narrowing score: directional fractal signature analysis in the MOST study

Podsiadło

Nevitt

Wolski

et al. 2016

Osteoarthritis and Cartilage

Self Cite

View full text Add to dashboard Cite

SUMMARY Purpose To explore the association of baseline trabecular bone structure with incident tibiofemoral (TF) osteoarthritis (OA) and with increase in joint space narrowing (JSN) score. Methods The Multicenter Osteoarthritis Study (MOST) includes subjects with or at risk for knee OA. Knee radiographs were scored for Kellgren–Lawrence (KL) grade and JSN at baseline, 30, 60 and 84 months. Knees (KL ≤ 1) at baseline were assessed for incident OA (KL≥2) and increases in JSN score. For each knee image at baseline, a variance orientation transform method (VOT) was applied to subchondral tibial bone regions of medial and lateral compartments. Seventeen fractal parameters were calculated per region. Associations of each parameter with OA incidence and with medial and lateral JSN increases were explored using logistic regression. Analyses were stratified by digitized film (DF) vs computer radiography (CR) and adjusted for confounders. Results Of 894 knees with CR and 1158 knees with DF, 195 (22%) and 303 (26%) developed incident OA. Higher medial bone roughness was associated with increased odds of OA incidence at 60 and 84 months and also, medial and lateral JSN increases (primarily vertical). Lower medial and lateral anisotropy was associated with increased odds of medial and lateral JSN increase. Compared to DF, CR had more associations and also, similar results at overlapping scales. Conclusion Baseline trabecular bone texture was associated with incident radiographic OA and increase of JSN scores independently of risk factors for knee OA. Higher roughness and lower anisotropy were associated with increased odds for radiographic OA change.

show abstract

“…In the present study, we used a well‐defined cohort of subjects with prior meniscectomy in whom 2 sets of weight‐bearing knee radiographs were obtained 4 years apart. We developed trabecular bone structure parameters based on a signature dissimilarity measure method (15) that quantifies roughness, degree of anisotropy, and direction of anisotropy of trabecular bone textures. These parameters are invariant to a range of image magnification, exposure, noise, and blur.…”

mentioning

confidence: 99%

Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture

Woloszynski

Podsiadło

Stachowiak

et al. 2012

Arthritis & Rheumatism

Self Cite

View full text Add to dashboard Cite

Objective. To develop a system for predicting the progression of radiographic knee osteoarthritis (OA) using tibial trabecular bone texture.Methods. We studied 203 knees with (n ‫؍‬ 68) or without (n ‫؍‬ 135) radiographic tibiofemoral OA in 105 subjects (90 men and 15 women with a mean age of 54 years) in whom 2 sets of knee radiographs were obtained 4 years apart. We determined medial and lateral compartment tibial trabecular bone texture using an automated region selection method. Three texture parameters were calculated: roughness, degree of anisotropy, and direction of anisotropy based on a signature dissimilarity measure method. We evaluated tibiofemoral OA progression using a radiographic semiquantitative outcome: an increase in the medial joint space narrowing (JSN) grade. We examined the predictive ability of trabecular bone texture in knees with and those without preexisting radiographic OA, with adjustment for age, sex, and body mass index, using logistic regression (generalized estimating equations) and receiver operating characteristic curves.Results. The prediction of increased medial JSN in knees with or without preexisting radiographic OA was the most accurate for medial trabecular bone texture; the area under the curve (AUC) was 0.77 and 0.75, respectively. For lateral trabecular bone texture, the AUC was 0.71 in knees with preexisting OA and 0.72 in knees without preexisting OA.Conclusion. We have developed a system, based on analyzing tibial trabecular bone texture, which yields good prediction of loss of tibiofemoral joint space. The predictive ability of the system needs to be further validated.

show abstract

A signature dissimilarity measure for trabecular bone texture in knee radiographs

Abstract: The SDM is well suited for the classification of TB texture images in knee OA detection and may be useful for the texture classification of medical images in general.

Cited by 42 publications

References 52 publications

Subchondral tibial bone texture predicts the incidence of radiographic knee osteoarthritis: data from the Osteoarthritis Initiative

Subchondral tibial bone texture predicts the incidence of radiographic knee osteoarthritis: data from the Osteoarthritis Initiative

Baseline trabecular bone and its relation to incident radiographic knee osteoarthritis and increase in joint space narrowing score: directional fractal signature analysis in the MOST study

Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture

Contact Info

Product

Resources

About