OBJECTIVE: We developed and validated a set of composite scores that combine quantitative magnetic resonance imaging (MRI)-based measurements of hyaline cartilage damage, bone marrow lesions (BMLs), and effusion-synovitis into composite scores. METHODS: We selected 300 participants (n = 100 for development cohort; n = 200 for validation cohort) from the Osteoarthritis Initiative with complete clinical, radiographic, and MRI data at baseline and 24 months. We used semiautomated programs to quantify tibiofemoral and patellar cartilage damage, BML volume, and whole-knee effusion-synovitis volume. The candidate composite scores were formed by summing changes from baseline to 24 months based on prespecified methods. We evaluated the candidate composite scores for 1) the ability to differentiate groups with and without knee osteoarthritis progression (17 radiographic and patient-reported definitions), 2) sensitivity to change (standardized response means), and 3) relative performance relating to legacy outcome measures of knee osteoarthritis progression. RESULTS: Three of 13 developed composite scores qualified for testing in the validation cohort (ranked by sensitivity to change): whole-knee cumulative cartilage damage, unweighted total knee score, and BML plus effusion-synovitis volume. Change in cumulative cartilage damage associated with radiographic progression (Kellgren/Lawrence grade: odds ratio [OR] 1.84; joint space width progression: OR 2.11). Changes in the unweighted total knee score (OR 1.97) and BML plus effusion-synovitis score (OR 1.92) associated with Western Ontario and McMaster Universities Osteoarthritis Index knee pain progression. CONCLUSION: Two composite scores emerged, reflecting discrete domains of knee osteoarthritis progression. First, cumulative damage, which is measured by a whole-knee cartilage damage score, reflects the damage accrued over time. Second, dynamic disease activity, which is measured by a BML plus effusion-synovitis score, relates to changes in a patient's state of disease and symptoms.
OBJECTIVE: We developed and validated a set of composite scores that combine quantitative magnetic resonance imaging (MRI)-based measurements of hyaline cartilage damage, bone marrow lesions (BMLs), and effusion-synovitis into composite scores. METHODS: We selected 300 participants (n = 100 for development cohort; n = 200 for validation cohort) from the Osteoarthritis Initiative with complete clinical, radiographic, and MRI data at baseline and 24 months. We used semiautomated programs to quantify tibiofemoral and patellar cartilage damage, BML volume, and whole-knee effusion-synovitis volume. The candidate composite scores were formed by summing changes from baseline to 24 months based on prespecified methods. We evaluated the candidate composite scores for 1) the ability to differentiate groups with and without knee osteoarthritis progression (17 radiographic and patient-reported definitions), 2) sensitivity to change (standardized response means), and 3) relative performance relating to legacy outcome measures of knee osteoarthritis progression. RESULTS: Three of 13 developed composite scores qualified for testing in the validation cohort (ranked by sensitivity to change): whole-knee cumulative cartilage damage, unweighted total knee score, and BML plus effusion-synovitis volume. Change in cumulative cartilage damage associated with radiographic progression (Kellgren/Lawrence grade: odds ratio [OR] 1.84; joint space width progression: OR 2.11). Changes in the unweighted total knee score (OR 1.97) and BML plus effusion-synovitis score (OR 1.92) associated with Western Ontario and McMaster Universities Osteoarthritis Index knee pain progression. CONCLUSION: Two composite scores emerged, reflecting discrete domains of knee osteoarthritis progression. First, cumulative damage, which is measured by a whole-knee cartilage damage score, reflects the damage accrued over time. Second, dynamic disease activity, which is measured by a BML plus effusion-synovitis score, relates to changes in a patient's state of disease and symptoms.
Authors: Miriam G Cisternas; Louise Murphy; Jeffrey J Sacks; Daniel H Solomon; David J Pasta; Charles G Helmick Journal: Arthritis Care Res (Hoboken) Date: 2016-05 Impact factor: 4.794
Authors: Matthew S Harkey; Lori Lyn Price; Timothy E McAlindon; Julie E Davis; Alina C Stout; Bing Lu; Ming Zhang; Charles B Eaton; Mary F Barbe; Grace H Lo; Jeffrey B Driban Journal: Arthritis Care Res (Hoboken) Date: 2019-02 Impact factor: 4.794
Authors: Frank W Roemer; Ali Guermazi; David T Felson; Jingbo Niu; Michael C Nevitt; Michel D Crema; John A Lynch; Cora E Lewis; James Torner; Yuqing Zhang Journal: Ann Rheum Dis Date: 2011-07-25 Impact factor: 19.103
Authors: D J Hunter; P G Conaghan; C G Peterfy; D Bloch; A Guermazi; T Woodworth; R Stevens; H K Genant Journal: Osteoarthritis Cartilage Date: 2006-05-05 Impact factor: 6.576
Authors: W Wirth; M Nevitt; M-P Hellio Le Graverand; O Benichou; D Dreher; R Y Davies; J Lee; K Picha; A Gimona; S Maschek; M Hudelmaier; F Eckstein Journal: Osteoarthritis Cartilage Date: 2009-12-21 Impact factor: 6.576
Authors: Julie E Davis; Robert J Ward; James W MacKay; Bing Lu; Lori Lyn Price; Timothy E McAlindon; Charles B Eaton; Mary F Barbe; Grace H Lo; Matthew S Harkey; Jeffrey B Driban Journal: Rheumatology (Oxford) Date: 2019-03-01 Impact factor: 7.580
Authors: Ming Zhang; Jeffrey B Driban; Lori Lyn Price; Daniel Harper; Grace H Lo; Eric Miller; Robert J Ward; Timothy E McAlindon Journal: BMC Musculoskelet Disord Date: 2014-08-06 Impact factor: 2.362