Literature DB >> 32897602

Towards understanding mechanistic subgroups of osteoarthritis: 8-year cartilage thickness trajectory analysis.

Claudia Iriondo1,2, Felix Liu1, Francesco Calivà1, Sarthak Kamat1, Sharmila Majumdar1, Valentina Pedoia1.   

Abstract

Many studies have validated cartilage thickness as a biomarker for knee osteoarthritis (OA); however, few studies investigate beyond cross-sectional observations or comparisons across two timepoints. By characterizing the trajectory of cartilage thickness changes over 8 years in healthy individuals from the OA initiative data set, this study discovers associations between the dynamics of cartilage changes and OA incidence. A fully automated cartilage segmentation and thickness measurement method were developed and validated against manual measurements: mean absolute error = 0.11-0.14 mm (n = 4129 knees) and automatic reproducibility = 0.04-0.07 mm (n = 316 knees). The mean thickness for the medial and lateral tibia (MT, LT), central weight-bearing medial and lateral femur (cMF, cLF), and patella (P) cartilage compartments were quantified for 1453 knees at seven timepoints. Trajectory subgroups were defined per cartilage compartment such as stable, thinning to thickening, accelerated thickening, plateaued thickening, thickening to thinning, accelerated thinning, or plateaued thinning. For tibiofemoral compartments, the stable (22%-36%) and plateaued thinning (22%-37%) trajectories were the most common, with an average initial velocity (μm/month), acceleration (μm/month2 ) for the plateaued thinning trajectories LT: -2.66, 0.0326; MT: -2.49, 0.0365; cMF: -3.51, 0.0509; and cLF: -2.68, 0.041. In the patella compartment, the plateaued thinning (35%) and thickening to thinning (24%) trajectories were the most common, with an average initial velocity, acceleration for each -4.17, 0.0424; 1.95, -0.0835. Knees with nonstable trajectories had higher adjusted odds of OA incidence than stable trajectories: accelerated thickening, accelerated thinning, and plateaued thinning trajectories of the MT had adjusted odds ratio (OR) of 18.9, 5.48, and 1.47, respectively; in the cMF, adjusted OR of 8.55, 10.1, and 2.61, respectively.
© 2020 Orthopaedic Research Society. Published by Wiley Periodicals LLC.

Entities:  

Keywords:  cartilage thickness; deep learning; osteoarthritis; trajectory analysis

Year:  2020        PMID: 32897602     DOI: 10.1002/jor.24849

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  4 in total

1.  Weight Cycling and Knee Joint Degeneration in Individuals with Overweight or Obesity: Four-Year Magnetic Resonance Imaging Data from the Osteoarthritis Initiative.

Authors:  Gabby B Joseph; Sara Ramezanpour; Charles E McCulloch; Michael C Nevitt; John Lynch; Nancy E Lane; Valentina Pedoia; Sharmila Majumdar; Thomas M Link
Journal:  Obesity (Silver Spring)       Date:  2021-04-01       Impact factor: 9.298

2.  Accuracy of MRI-Based Talar Cartilage Thickness Measurement and Talus Bone and Cartilage Modeling: Comparison with Ground-Truth Laser Scan Measurements.

Authors:  Carly A Lockard; Ingrid K Stake; Alex W Brady; Madeleine G DeClercq; Kira K Tanghe; Brenton W Douglass; Erik Nott; Charles P Ho; Thomas O Clanton
Journal:  Cartilage       Date:  2020-12-03       Impact factor: 3.117

3.  Uncovering associations between data-driven learned qMRI biomarkers and chronic pain.

Authors:  Alejandro G Morales; Jinhee J Lee; Francesco Caliva; Claudia Iriondo; Felix Liu; Sharmila Majumdar; Valentina Pedoia
Journal:  Sci Rep       Date:  2021-11-09       Impact factor: 4.379

4.  The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.

Authors:  Arjun D Desai; Francesco Caliva; Claudia Iriondo; Aliasghar Mortazi; Sachin Jambawalikar; Ulas Bagci; Mathias Perslev; Christian Igel; Erik B Dam; Sibaji Gaj; Mingrui Yang; Xiaojuan Li; Cem M Deniz; Vladimir Juras; Ravinder Regatte; Garry E Gold; Brian A Hargreaves; Valentina Pedoia; Akshay S Chaudhari
Journal:  Radiol Artif Intell       Date:  2021-02-10
  4 in total

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