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Journal Article Ppublish 1 citation

PubMed: 40113602 DOI: 10.1007/s00256-025-04907-4

Cartilage thickness distribution and its dependence on demographic, radiographic, and MRI structural pathology in knee osteoarthritis-data from the IMI-APPROACH cohort.

Skeletal Radiol 54(10):2025-2034

Authors: Mylène P Jansen, Tom D Turmezei, Kishan Dattani, Dimitri A Kessler, Simon C Mastbergen, Margreet Kloppenburg, Francisco J Blanco, Ida K Haugen, Francis Berenbaum, Wolfgang Wirth, Felix Eckstein, Frank W Roemer, James W MacKay

Affiliations

  • Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Department of Radiology, Norfolk , Norwich University Hospital, Norwich, UK. Norwich Medical School, University of East Anglia, Norwich, UK.
  • Norwich Medical School, University of East Anglia, Norwich, UK.
  • Department of Radiology, University of Cambridge, Cambridge, UK. Artificial Intelligence in Medicine Lab (BCN-AIM), Facultat de Matemátiques I Informática, Universitat de Barcelona, Barcelona, Spain.
  • Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands. Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Grupo de Investigación de Reumatología (GIR), Centro de Investigación CICA, Departamento de Fisioterapia y Medicina, INIBIC - Complejo Hospitalario Universitario de A Coruña, SERGAS, Universidad de A Coruña, A Coruña, Coruña, Spain.
  • Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway.
  • Department of Rheumatology, AP-HP Saint-Antoine Hospital, Paris, France. Sorbonne University, INSERM CRSA, Paris, France.
  • Center for Anatomy and Cell Biology & Ludwig Boltzmann Institute for Arthritis and Rehabilitation (LBIAR), Research Program for Musculoskeletal Imaging, Paracelsus Medical University, Salzburg, Austria. Chondrometrics GmbH, Freilassing, Germany.
  • Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, Boston, MA, USA. Department of Radiology, Universitätsklinikum Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Norwich Medical School, University of East Anglia, Norwich, UK. Department of Radiology, University of Cambridge, Cambridge, UK.

Abstract

OBJECTIVE

Cartilage surface mapping is a technique that can visualize 3D cartilage thickness variation throughout a joint without a need for arbitrary regional definitions. The objective of this cross-sectional study was to utilize this technique to evaluate the cartilage thickness distribution in knee osteoarthritis patients and to analyze to what extent it depends on demographic, radiographic, and MRI structural pathology strata.

METHODS

Patients of the IMI-APPROACH cohort were included, with MRIs obtained at 1.5 T or 3 T. Tibial and femoral cartilage segmentation and registration with a canonical surface were performed semi-automatically. Kellgren-Lawrence and OARSI grading were performed on knee radiographs; MOAKS scoring was performed on MRI scans. The association of demographics and radiographic and MRI scorings with cartilage thickness distribution was analyzed with general linear models using statistical parametric mapping.

RESULTS

Two hundred eighty-seven patients were included. Male sex and height were positively associated with cartilage thickness particularly in the trochlea and medial femur, respectively, with differences up to 0.5 mm (male vs female), while radiographic joint space narrowing and bone marrow lesions showed region-specific negative associations (up to 0.14-0.5 mm per grade). Kellgren-Lawrence grade, MOAKS meniscal extrusion, and osteophytes showed patterns of positive and negative associations, with increasing grades showing reduced local tibiofemoral cartilage thickness, but greater thickness in the trochlea (both up to 0.2-0.3 mm per grade).

CONCLUSIONS

Decreased height, female sex, and increasing tibiofemoral pathology were associated with thinner tibiofemoral cartilage. Unexpected results such as consistently thicker cartilage in the anterior femur with increasing disease or osteophytosis states provide opportunities for future research.

MeSH

Osteoarthritis, Knee, Osteoarthritis, Pathology, Radiography, Sex, Demography, Cartilage