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

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

The present study aims to examine whether the short-term variations in trabecular bone texture (TBT) parameters, combined with a targeted set of clinical and radiographic data, would improve the prediction of long-term radiographic knee osteoarthritis (KOA) progression. Longitudinal (baseline, 24 an...

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Veröffentlicht in:Scientific reports 2023-12, Vol.13 (1), p.21952-21952, Article 21952
Hauptverfasser: Almhdie-Imjabbar, Ahmad, Toumi, Hechmi, Lespessailles, Eric
Format: Artikel
Sprache:eng
Schlagworte:
692/308/53/2423
692/4023/1670/407
692/499
692/53/2423
Arthritis
Cancellous bone
Humanities and Social Sciences
Knee
multidisciplinary
Osteoarthritis
Prediction models
Regression analysis
Science
Science (multidisciplinary)
Variation
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Beschreibung
Zusammenfassung:The present study aims to examine whether the short-term variations in trabecular bone texture (TBT) parameters, combined with a targeted set of clinical and radiographic data, would improve the prediction of long-term radiographic knee osteoarthritis (KOA) progression. Longitudinal (baseline, 24 and 48-month) data, obtained from the Osteoarthritis Initiative cohort, were available for 1352 individuals, with preexisting OA (1 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-48016-5