Felix Eckstein1, Robert Buck2, Wolfgang Wirth3. 1. Institute of Anatomy, Paracelsus Medical University Salzburg & Nuremberg, Strubergasse 21, A-5020 Salzburg, Austria; Chondrometrics GmbH, Ainring, Germany. Electronic address: felix.eckstein@pmu.ac.at. 2. StatAnswers Consulting LLC, Minneapolis, MN. 3. Institute of Anatomy, Paracelsus Medical University Salzburg & Nuremberg, Strubergasse 21, A-5020 Salzburg, Austria; Chondrometrics GmbH, Ainring, Germany.
Abstract
OBJECTIVE: The metric accepted by regulatory bodies for determining structural progression in clinical trials of knee osteoarthritis (OA) remains change in radiographic joint space width in the medial femorotibial compartment. However, magnetic resonance imaging has revealed that cartilage loss is spatially heterogeneous, and that it is enigmatic which knee will lose cartilage at which location. Whereas previous reviews have focused on imaging in general, the purpose of this particular perspective is to highlight availability and applications of location-independent analysis methodology in measuring structural progression in epidemiological and interventional clinical trials, and to highlight its specific advantages over existing methodologies. METHODS: Narrative review/perspective based on a Pubmed search of original articles from 2009 to current. RESULTS: Ordering longitudinal change in subregion cartilage thickness by magnitude and direction, and averaging such ordered values or sums of negative and positive changes across knees is shown to be superior in detecting risk factors and interventional effects on structural progression of knee OA. Further, the methodology permits exploration of cartilage loss and gain simultaneously, phenomena that are missed when measurements are confined to cartilage volume or thickness loss in plates or compartments. CONCLUSIONS: Given spatial heterogeneity of cartilage loss in knee OA, location-independent analysis by MRI may provide opportunity for a paradigm shift. The authors recommend use of a location-independent metrices as the structural endpoints in epidemiological and intervention trials, particularly when examining anabolic and catabolic drug effects. Location-independent methods may be translated to analysis of cartilage composition and other articular tissues.
OBJECTIVE: The metric accepted by regulatory bodies for determining structural progression in clinical trials of knee osteoarthritis (OA) remains change in radiographic joint space width in the medial femorotibial compartment. However, magnetic resonance imaging has revealed that cartilage loss is spatially heterogeneous, and that it is enigmatic which knee will lose cartilage at which location. Whereas previous reviews have focused on imaging in general, the purpose of this particular perspective is to highlight availability and applications of location-independent analysis methodology in measuring structural progression in epidemiological and interventional clinical trials, and to highlight its specific advantages over existing methodologies. METHODS: Narrative review/perspective based on a Pubmed search of original articles from 2009 to current. RESULTS: Ordering longitudinal change in subregion cartilage thickness by magnitude and direction, and averaging such ordered values or sums of negative and positive changes across knees is shown to be superior in detecting risk factors and interventional effects on structural progression of knee OA. Further, the methodology permits exploration of cartilage loss and gain simultaneously, phenomena that are missed when measurements are confined to cartilage volume or thickness loss in plates or compartments. CONCLUSIONS: Given spatial heterogeneity of cartilage loss in knee OA, location-independent analysis by MRI may provide opportunity for a paradigm shift. The authors recommend use of a location-independent metrices as the structural endpoints in epidemiological and intervention trials, particularly when examining anabolic and catabolic drug effects. Location-independent methods may be translated to analysis of cartilage composition and other articular tissues.
Authors: S R Jafarzadeh; M Clancy; J-S Li; C M Apovian; A Guermazi; F Eckstein; D T Felson Journal: Osteoarthritis Cartilage Date: 2018-03-20 Impact factor: 6.576
Authors: W Wirth; D J Hunter; M C Nevitt; L Sharma; C K Kwoh; C Ladel; F Eckstein Journal: Osteoarthritis Cartilage Date: 2017-08-31 Impact factor: 6.576
Authors: Anna Wisser; Andreas Lapper; Frank Roemer; David Fuerst; Susanne Maschek; Wolfgang Wirth; Georg N Duda; Felix Eckstein Journal: Cartilage Date: 2020-12-24 Impact factor: 3.117
Authors: Mylène P Jansen; Susanne Maschek; Ronald J van Heerwaarden; Simon C Mastbergen; Wolfgang Wirth; Floris P J G Lafeber; Felix Eckstein Journal: J Clin Med Date: 2021-01-19 Impact factor: 4.241
Authors: Heide Boeth; Peter C Raffalt; Aoife MacMahon; A Robin Poole; Felix Eckstein; Wolfgang Wirth; Frank Buttgereit; Patrik Önnerfjord; Pilar Lorenzo; Cecilia Klint; Anna Pramhed; Georg N Duda Journal: J Exp Orthop Date: 2019-05-03
Authors: Felix Eckstein; Jeffrey L Kraines; Aida Aydemir; Wolfgang Wirth; Susanne Maschek; Marc C Hochberg Journal: Ann Rheum Dis Date: 2020-02-25 Impact factor: 19.103