Analysis of Hand Joint Space Morphology in Women and Men with Hereditary Hemochromatosis
Heilmeier U, Burghardt AJ, Tse JJ, Kapoor P, Stok KS, Manske S, Voll RE, Schett G, Finzel S (2023)
Publication Type: Journal article
Publication year: 2023
Journal
DOI: 10.1007/s00223-022-01050-3
Abstract
Hereditary hemochromatosis (HH) causes unbalanced iron deposition in many organs including the joints leading to severe cartilage loss and bone damage in the metacarpophalangeal joints (MCPJ). High-resolution peripheral quantitative computed tomography (HR-pQCT) and its joint space width (JSW) quantification algorithm quantifies in vivo 3D joint morphology. We therefore aimed to (i) determine feasibility and performance of the JSW algorithm in HH, (ii) quantify joint space morphology, and (iii) investigate the relationship between morphological and clinical parameters in HH. Here, we performed an exploratory study on 24 HH patients and sex- and age-matched controls using HR-pQCT imaging of MCPJ. Mineralized bone structure was automatically segmented from the grayscale image data and periosteal surface bone masks and joint space masks were generated. Mean, minimal, and maximal joint space width (JSW; JSW.MIN; JSW.MAX), JSW heterogeneity (JSW.SD), JSW asymmetry (JSW.AS), and joint space volume (JSV) were computed. Demographics and, for HH patients, disease-specific parameters were recorded. Segmentation of JS was very good with 79.7% of MCPJs successfully segmented at first attempt and 20.3% requiring semi-manual correction. HH men showed larger JSV at all MCPs (+ 25.4% < JSV < + 41.8%, p < 0.05), larger JSW.MAX at MCP 3-4 (+ 14%, 0.006 < p < 0.062), and wider JSW (+ 13%, p = 0.043) at MCP 4 relative to HH women. Compared to controls, both HH men and HH women showed larger JSW.AS and smaller JSW.MIN at all MCP levels, reaching significance for HH men at MCP 2 and 3 (JSW.AS: + 323% < JSW.AS < + 359%, 0.020 < p < 0.043; JSW.MIN: − 216% < JSW.MIN < − 225%, p < 0.043), and for women at MCP 3 (JSW.AS: + 180%, p = 0.025; JSW.MIN: − 41.8%, p = 0.022). Time since HH diagnosis was correlated positively with MCP 4 JSW.AS and JSW.SD (0.463 < ρ < 0.499, p < 0.040), and the number of phlebotomies since diagnosis was correlated with JSW.SD at all MCPs (0.432 < ρ < 0.535, p < 0.050). HR-pQCT-based JSW quantification in MCPJ of HH patients is feasible, performs well even in narrow JS, and allows to define the microstructural joint burden of HH.
Authors with CRIS profile
Involved external institutions
Universitätsklinikum Freiburg
Germany (DE)
University of California San Francisco (UCSF)
United States (USA) (US)
McCaig Institute for Bone and Joint Health
Canada (CA)
The University of Melbourne
Australia (AU)
Germany (DE)
University of California San Francisco (UCSF)
United States (USA) (US)
McCaig Institute for Bone and Joint Health
Canada (CA)
The University of Melbourne
Australia (AU)
How to cite
APA:
Heilmeier, U., Burghardt, A.J., Tse, J.J., Kapoor, P., Stok, K.S., Manske, S.,... Finzel, S. (2023). Analysis of Hand Joint Space Morphology in Women and Men with Hereditary Hemochromatosis. Calcified Tissue International. https://dx.doi.org/10.1007/s00223-022-01050-3
MLA:
Heilmeier, Ursula, et al. "Analysis of Hand Joint Space Morphology in Women and Men with Hereditary Hemochromatosis." Calcified Tissue International (2023).
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