Ursula Heilmeier1, John Mbapte Wamba2, Gabby B Joseph2, Karin Darakananda2, Jennifer Callan2, Jan Neumann2, Thomas M Link2. 1. Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, Lobby 6, Suite, San Francisco, CA, 350, USA. ursula.heilmeier@ucsf.edu. 2. Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry Street, Lobby 6, Suite, San Francisco, CA, 350, USA.
Abstract
OBJECTIVE: To evaluate if baseline pathological knee conditions as assessed via single features of the MR-based Whole-Organ Magnetic Resonance Imaging Scoring (WORMS), standard T2, and T2 gray-level co-occurrence matrix (GLCM) texture parameters of knee cartilage can serve as potential long-term radiological predictors of incident total knee arthroplasty (TKA) 4-7 years later. MATERIALS AND METHODS: Baseline 3-T knee MRIs of 309 subjects from the Osteoarthritis Initiative (n = 81 TKA cases, with right-knee TKA 4-7 years after enrolment, and n = 228 TKA-free matched controls) were evaluated for the presence and severity of pathological knee conditions via modified WORMS. Knee cartilage was segmented and standard T2 cartilage and T2 GLCM texture measures (contrast, variance) were computed. Statistical analysis employed conditional logistic regression. RESULTS: We found that a one-point increase on the joint effusion scale, the bone marrow edema scale or on the cartilage lesion scale at baseline predicted incident TKA (ORs: 2.45, 1.65, and 1.37 respectively (p ≤ 0.003)). For T2 cartilage measurements, we observed that in the lateral femur, a 1-SD increase in T2 relaxation time yielded a 28% increase in the odds of TKA (1.28 [1.09-1.643], p = 0.046). When looking at cartilage texture, we similarly noted that a 1-SD increase in the cartilage texture parameter "contrast" was associated with a 33-40% increased risk of incident TKA in the lateral femur and tibia (0.003 ≤ p ≤ 0.021), as was a 1-SD increase in the texture parameter "variance" in the lateral femur (p = 0.002). CONCLUSION: Radiological evaluation of standard knee MR images via single WORMS features and T2 standard and texture analysis at baseline can help predict the patient's individual risk for an incident TKA 4-7 years later.
OBJECTIVE: To evaluate if baseline pathological knee conditions as assessed via single features of the MR-based Whole-Organ Magnetic Resonance Imaging Scoring (WORMS), standard T2, and T2 gray-level co-occurrence matrix (GLCM) texture parameters of knee cartilage can serve as potential long-term radiological predictors of incident total knee arthroplasty (TKA) 4-7 years later. MATERIALS AND METHODS: Baseline 3-T knee MRIs of 309 subjects from the Osteoarthritis Initiative (n = 81 TKA cases, with right-knee TKA 4-7 years after enrolment, and n = 228 TKA-free matched controls) were evaluated for the presence and severity of pathological knee conditions via modified WORMS. Knee cartilage was segmented and standard T2 cartilage and T2 GLCM texture measures (contrast, variance) were computed. Statistical analysis employed conditional logistic regression. RESULTS: We found that a one-point increase on the joint effusion scale, the bone marrow edema scale or on the cartilage lesion scale at baseline predicted incident TKA (ORs: 2.45, 1.65, and 1.37 respectively (p ≤ 0.003)). For T2 cartilage measurements, we observed that in the lateral femur, a 1-SD increase in T2 relaxation time yielded a 28% increase in the odds of TKA (1.28 [1.09-1.643], p = 0.046). When looking at cartilage texture, we similarly noted that a 1-SD increase in the cartilage texture parameter "contrast" was associated with a 33-40% increased risk of incident TKA in the lateral femur and tibia (0.003 ≤ p ≤ 0.021), as was a 1-SD increase in the texture parameter "variance" in the lateral femur (p = 0.002). CONCLUSION: Radiological evaluation of standard knee MR images via single WORMS features and T2 standard and texture analysis at baseline can help predict the patient's individual risk for an incident TKA 4-7 years later.
Entities:
Keywords:
Cartilage T2 relaxation time; Knee; Magnetic resonance imaging; Osteoarthritis; Predictive value of tests; Total knee arthroplasty
Authors: David T Felson; Michael C Nevitt; Mei Yang; Margaret Clancy; Jingbo Niu; James C Torner; C Elizabeth Lewis; Piran Aliabadi; Burton Sack; Charles McCulloch; Yuqing Zhang Journal: J Rheumatol Date: 2008-09-15 Impact factor: 4.666
Authors: Daichi Hayashi; Frank W Roemer; Avinash Katur; David T Felson; Seoung-Oh Yang; Faris Alomran; Ali Guermazi Journal: Semin Arthritis Rheum Date: 2011-02-03 Impact factor: 5.532
Authors: M Kretzschmar; W Lin; L Nardo; G B Joseph; D D Dunlop; U Heilmeier; M C Nevitt; H Alizai; C E McCulloch; J A Lynch; T M Link Journal: Arthritis Care Res (Hoboken) Date: 2015-09 Impact factor: 4.794
Authors: Pia M Jungmann; Mareen S Kraus; Lorenzo Nardo; Hans Liebl; Hamza Alizai; Gabby B Joseph; Felix Liu; John Lynch; Chuck E McCulloch; Michael C Nevitt; Thomas M Link Journal: J Magn Reson Imaging Date: 2013-09-13 Impact factor: 4.813
Authors: Stephan Heisinger; Wolfgang Hitzl; Gerhard M Hobusch; Reinhard Windhager; Sebastian Cotofana Journal: J Clin Med Date: 2020-05-01 Impact factor: 4.241
Authors: Vladimir Juras; Pavol Szomolanyi; Veronika Janáčová; Alexandra Kirner; Peter Angele; Siegfried Trattnig Journal: Cartilage Date: 2021-07-16 Impact factor: 4.634