Listar por autor "Lafeber, Floris P.J.G."
Mostrando ítems 1-9 de 9
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Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study
Widera, Pawel; Welsing, Paco M.J.; Danso, Samuel O.; Peelen, Sjaak; Kloppenburg, Margreet; Loef, Marieke; Marijnissen, Anne C.; van Helvoort, Eefje M.; Blanco García, Francico J; Magalhaes, Joana; Berenbaum, Francis; Haugen, Ida K.; Bay-Jensen, Anne-C.; Mobasheri, Ali; Ladel, Christoph; Loughlin, John; Lafeber, Floris P.J.G.; Lalande, Agnes; Larkin, Jonathan; Weinans, Harrie; Bacardit, Jaume (Elsevier, 2023-12)[Abstract] Objectives. To efficiently assess the disease-modifying potential of new osteoarthritis treatments, clinical trials need progression-enriched patient populations. To assess whether the application of machine ... -
Exploring the differences between radiographic joint space width and MRI cartilage thickness changes using data from the IMI-APPROACH cohort
Jansen, Mylène P.; Roemer, Frank W.; Marijnissen, Anne C.A.; Kloppenburg, Margreet; Blanco García, Francico J; Haugen, Ida K.; Berenbaum, Francis; Lafeber, Floris P.J.G.; Welsing, Paco M.J.; Mastbergen, Simon C.; Wirth, Wolfgang (Springer, 2023-01-06)[Abstract] Objective: Longitudinal weight-bearing radiographic joint space width (JSW) and non-weight-bearing MRI-based cartilage thickness changes often show weak correlations. The current objective was to investigate ... -
GaitSmart motion analysis compared to commonly used function outcome measures in the IMI-APPROACH knee osteoarthritis cohort
van Helvoort, Eefje M.; Hodgings, Diana; Mastbergen, Simon; Marijnissen, Anne C.A.; Kloppenburg, Margreet; Blanco García, Francisco J; Haugen, Ida K.; Berenbaum, Francis; Lafeber, Floris P.J.G.; Welsing, Paco M.J. (PLoS ONE, 2022-03-23)[Abstract] Background: There are multiple measures for assessment of physical function in knee osteoarthritis (OA), but each has its strengths and limitations. The GaitSmart® system, which uses inertial measurement units ... -
Machine-learning predicted and actual 2-year structural progression in the IMI-APPROACH cohort
Jansen, Mylène P.; Wirth, Wolfgang; Bacardit, Jaume; van Helvoort, Eefje M.; Marijnissen, Anne C.A.; Kloppenburg, Margreet; Blanco García, Francico J; Haugen, Ida K.; Berenbaum, Francis; Ladel, Christoph H.; Loef, Marieke; Lafeber, Floris P.J.G.; Welsing, Paco M.J.; Mastbergen, Simon C.; Roemer, Frank W. (AME, 2023-05)[Abstract] In the Innovative Medicine’s Initiative Applied Public-Private Research enabling OsteoArthritis Clinical Headway (IMI-APPROACH) knee osteoarthritis (OA) study, machine learning models were trained to predict the ... -
Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort
van Helvoort, Eefje M.; Jansen, Mylène P.; Marijnissen, Anne C.A.; Kloppenburg, Margreet; Blanco García, Francisco J; Haugen, Ida K.; Berenbaum, Francis; Bay-Jensen, Anne-C.; Ladel, Christoph; Lalande, Agnes; Larkin, Jonathan; Loughlin, John; Mobasheri, Ali; Weinans, Harrie; Widera, Pawel; Bacardit, Jaume; Welsing, Paco M.J.; Lafeber, Floris P.J.G. (Oxford Academic, 2023-01)[Abstract] Objectives: The IMI-APPROACH knee osteoarthritis study used machine learning (ML) to predict structural and/or pain progression, expressed by a structural (S) and pain (P) predicted-progression score, to select ... -
Quantitative CT of the knee in the IMI-APPROACH osteoarthritis cohort: Association of bone mineral density with radiographic disease severity, meniscal coverage and meniscal extrusion
Heiss, Rafael; Laredo, Jean-Denis; Wirth, Wolfgang; Jansen, Mylène P.; Marijnissen, Anne C.A.; Lafeber, Floris P.J.G.; Lalande, Agnes; Weinans, Harrie H.; Blanco García, Francico J; Berenbaum, Francis; Kloppenburg, Margreet; Haugen, Ida K.; Engelke, Klaus; Roemer, Frank W. (Elsevier, 2023-03)[Abstract] Objective: Osteoarthritis (OA) is a highly prevalent chronic condition. The subchondral bone plays an important role in onset and progression of OA making it a potential treatment target for disease-modifying ... -
Structural tissue damage and 24-month progression of semi-quantitative MRI biomarkers of knee osteoarthritis in the IMI-APPROACH cohort
Roemer, Frank W.; Jansen, Mylène; Marijnissen, Anne C.A.; Guermazi, Ali; Heiss, Rafael; Maschek, Susanne; Lalande, Agnes; Blanco García, Francisco J; Berenbaum, Francis; van de Stadt, Lotte A.; Kloppenburg, Margreet; Haugen, Ida K.; Ladel, Christoph H.; Bacardit, Jaume; Wisser, Anna; Eckstein, Felix; Lafeber, Floris P.J.G.; Weinans, Harrie H.; Wirth, Wolfgang (BioMed Central, 2022-11-17)[Abstract] Background. The IMI-APPROACH cohort is an exploratory, 5-centre, 2-year prospective follow-up study of knee osteoarthritis (OA). Aim was to describe baseline multi-tissue semiquantitative MRI evaluation of index ... -
Test–retest precision and longitudinal cartilage thickness loss in the IMI-APPROACH cohort
Wirth, Wolfgang; Maschek, Susanne; Marijnissen, Anne C.A.; Lalande, Agnes; Blanco García, Francisco J; Berenbaum, Francis; van de Stadt, Lotte A.; Kloppenburg, Margreet; Haugen, Ida K.; Ladel, Christoph H.; Bacardit, Jaume; Wisser, Anna; Eckstein, Felix; Roemer, Frank W.; Lafeber, Floris P.J.G.; Weinans, Harrie H.; Jansen, Mylène (Elsevier, 2022-11-03)[Abstract] Objective. To investigate the test–retest precision and to report the longitudinal change in cartilage thickness, the percentage of knees with progression and the predictive value of the machine-learning-estimated ... -
The association of the lipid profile with knee and hand osteoarthritis severity: the IMI-APPROACH cohort
Loef, Marieke; van de Stadt, L.; Böhringer, S.; Bay-Jensen, Anne-C.; Mobasheri, Ali; Larkin, Jonathan; Lafeber, Floris P.J.G.; Blanco García, Francisco J; Haugen, Ida K.; Berenbaum, Francis; Giera, M.; Ioan-Facsinay, Andreea; Kloppenburg, Margreet (Elsevier, 2022-05-27)[Abstract] Objective: To investigate the association of the lipidomic profile with osteoarthritis (OA) severity, considering the outcomes radiographic knee and hand OA, pain and function. Design: We used baseline data ...