@article{1f7fa019d88a4819ba4d33c99dbbb886,
title = "New imaging modalities to predict and evaluate osteoarthritis progression",
abstract = "In this narrative review, we discuss the role of different imaging methods for the evaluation of progression of structural osteoarthritis. We will focus on the role of less commonly applied imaging modalities and imaging biomarkers that were introduced in recent years or on established methods that have evolved into more prominent positions in recent years. We will highlight findings from longitudinal studies that focused on structural osteoarthritis progression as their outcome of interest. Imaging modalities discussed include plain radiography (including novel approaches of joint space width assessment and fractal signature analysis), ultrasonography (including the assessment of synovitis), magnetic resonance imaging (including semiquantitative, quantitative, and compositional evaluation), and positron emission tomography.",
keywords = "Imaging, Magnetic resonance imaging, Osteoarthritis, Positron emission tomography, Progression, Radiography",
author = "Nima Hafezi-Nejad and Ali Guermazi and Shadpour Demehri and Roemer, {Frank W.}",
note = "Funding Information: Evidence regarding the utility of FSA for the evaluation of OA progression became more compelling with the publications of outcomes from prospective cohort studies. Kraus et al. evaluated FSA among participants of the NIH-sponsored Prediction of Osteoarthritis Progression (POP) study [24]. In their study, FSA was used to differentiate progressors vs. non-progressors. Global shape analysis of fractal signature curves could predict OA progression (defined as worsening of JSN) especially when including baseline characteristics and data on knee alignment [24]. Recently, Kraus and colleagues reported the predictive validity of radiographic trabecular bone texture analysis among a subset of OAI participants (the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium nested case-control study) [25]. FSA was obtained using semiautomated software at baseline, 12, and 24 months. Cases that had OA progression after 48 months were characterized by thinner vertical and thicker horizontal trabeculae at baseline. Both radiographic and symptom progression were assessed, and modest associations were reported [25]. Similar results were reported from European and Australian based studies. Woloszynski et al. studied 203 knees with two sets of radiographs that were obtained 4 years apart with medial FSA parameters predicting progression [21]. Podsiadlo et al. followed 123 subjects with symptomatic knee OA for 6 years and used variance orientation transform method for bone texture analysis [26]. Risk of knee replacement surgery was found to be a function of mean fractal dimension as a measure of bone roughness [26]. Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",
year = "2017",
month = oct,
doi = "10.1016/j.berh.2018.05.001",
language = "English (US)",
volume = "31",
pages = "688--704",
journal = "Best Practice and Research: Clinical Rheumatology",
issn = "1521-6942",
publisher = "Bailliere Tindall Ltd",
number = "5",
}