Ahmad Almhdie-Imjabbar1,2, Pawel Podsiadlo3, Richard Ljuhar4, Rachid Jennane1,2, Khac-Lan Nguyen1,2, Hechmi Toumi1,2,5, Simo Saarakkala6,7, Eric Lespessailles8,9,10. 1. EA 4708- I3MTO Laboratory, University of Orleans, Orleans, France. 2. Translational Medicine Research Platform, PRIMMO, Regional Hospital of Orleans, Orleans, France. 3. Tribology Laboratory, School of Civil and Mechanical Engineering, Curtin University, Bentley, WA, 6102, Australia. 4. ImageBiopsy Lab, Vienna, Austria. 5. Department of Rheumatology, Regional Hospital of Orleans, Orleans, France. 6. Physics and Technology, Research Unit of Medical Imaging, University of Oulu, Oulu, Finland. 7. Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland. 8. EA 4708- I3MTO Laboratory, University of Orleans, Orleans, France. eric.lespessailles@chr-orleans.fr. 9. Translational Medicine Research Platform, PRIMMO, Regional Hospital of Orleans, Orleans, France. eric.lespessailles@chr-orleans.fr. 10. Department of Rheumatology, Regional Hospital of Orleans, Orleans, France. eric.lespessailles@chr-orleans.fr.
Abstract
BACKGROUND: Trabecular bone texture analysis (TBTA) has been identified as an imaging biomarker that provides information on trabecular bone changes due to knee osteoarthritis (KOA). Consequently, it is important to conduct a comprehensive review that would permit a better understanding of this unfamiliar image analysis technique in the area of KOA research. We examined how TBTA, conducted on knee radiographs, is associated to (i) KOA incidence and progression, (ii) total knee arthroplasty, and (iii) KOA treatment responses. The primary aims of this study are twofold: to provide (i) a narrative review of the studies conducted on radiographic KOA using TBTA, and (ii) a viewpoint on future research priorities. METHOD: Literature searches were performed in the PubMed electronic database. Studies published between June 1991 and March 2020 and related to traditional and fractal image analysis of trabecular bone texture (TBT) on knee radiographs were identified. RESULTS: The search resulted in 219 papers. After title and abstract scanning, 39 studies were found eligible and then classified in accordance to six criteria: cross-sectional evaluation of osteoarthritis and non-osteoarthritis knees, understanding of bone microarchitecture, prediction of KOA progression, KOA incidence, and total knee arthroplasty and association with treatment response. Numerous studies have reported the relevance of TBTA as a potential bioimaging marker in the prediction of KOA incidence and progression. However, only a few studies have focused on the association of TBTA with both OA treatment responses and the prediction of knee joint replacement. CONCLUSION: Clear evidence of biological plausibility for TBTA in KOA is already established. The review confirms the consistent association between TBT and important KOA endpoints such as KOA radiographic incidence and progression. TBTA could provide markers for enrichment of clinical trials enhancing the screening of KOA progressors. Major advances were made towards a fully automated assessment of KOA.
BACKGROUND: Trabecular bone texture analysis (TBTA) has been identified as an imaging biomarker that provides information on trabecular bone changes due to knee osteoarthritis (KOA). Consequently, it is important to conduct a comprehensive review that would permit a better understanding of this unfamiliar image analysis technique in the area of KOA research. We examined how TBTA, conducted on knee radiographs, is associated to (i) KOA incidence and progression, (ii) total knee arthroplasty, and (iii) KOA treatment responses. The primary aims of this study are twofold: to provide (i) a narrative review of the studies conducted on radiographic KOA using TBTA, and (ii) a viewpoint on future research priorities. METHOD: Literature searches were performed in the PubMed electronic database. Studies published between June 1991 and March 2020 and related to traditional and fractal image analysis of trabecular bone texture (TBT) on knee radiographs were identified. RESULTS: The search resulted in 219 papers. After title and abstract scanning, 39 studies were found eligible and then classified in accordance to six criteria: cross-sectional evaluation of osteoarthritis and non-osteoarthritis knees, understanding of bone microarchitecture, prediction of KOA progression, KOA incidence, and total knee arthroplasty and association with treatment response. Numerous studies have reported the relevance of TBTA as a potential bioimaging marker in the prediction of KOA incidence and progression. However, only a few studies have focused on the association of TBTA with both OA treatment responses and the prediction of knee joint replacement. CONCLUSION: Clear evidence of biological plausibility for TBTA in KOA is already established. The review confirms the consistent association between TBT and important KOA endpoints such as KOA radiographic incidence and progression. TBTA could provide markers for enrichment of clinical trials enhancing the screening of KOA progressors. Major advances were made towards a fully automated assessment of KOA.
Authors: Virginia Byers Kraus; Sheng Feng; ShengChu Wang; Scott White; Maureen Ainslie; Alan Brett; Anthony Holmes; H Cecil Charles Journal: Arthritis Rheum Date: 2009-12
Authors: Jukka Hirvasniemi; Jérôme Thevenot; Ali Guermazi; Jana Podlipská; Frank W Roemer; Miika T Nieminen; Simo Saarakkala Journal: Eur Radiol Date: 2017-04-24 Impact factor: 5.315