ArticleQuantitative imaging in medicine and surgery2020
Consensus approach for 3D joint space width of metacarpophalangeal joints of rheumatoid arthritis patients using high-resolution peripheral quantitative computed tomography.
Article in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- High-Resolution Peripheral Quantitative Computed Tomography for Bone Evaluation in Inflammatory Rheumatic Disease.Frontiers in medicine · 2020Pooled it
- Early prediction of joint space narrowing in rheumatoid arthritis using AI-quantified bilateral joint space asymmetry on hand radiography.Japanese journal of radiology · 2026Article
- High-Fidelity Measurement-Based Detection Values and Roles of Three-Dimensional Joint Space Width in Evaluation of Knee Osteoarthritis.Orthopaedic surgery · 2026Article
- Article
- Bone and joint quality remains impaired in long-term controlled acromegaly: an HR-pQCT study.Journal of the Endocrine Society · 2026Article
- Evaluation of the use of segmentation-based and deconvolution-based three-dimensional joint space width analysis of the hand and wrist.JBMR plus · 2026Article
- Investigating the utility of HR-pQCT for the assessment of joint space and bone mineral density in hand osteoarthritis.Osteoarthritis imaging · 2024Article
- Photon-Counting Computed Tomography for Microstructural Imaging of Bone and Joints.Current osteoporosis reports · 2024Review
- Evaluating high-resolution computed tomography derived 3-D joint space metrics of the metacarpophalangeal joints between rheumatoid arthritis and age- and sex-matched control participants.Frontiers in medicine · 2024Article
- Imaging in inflammatory arthritis: progress towards precision medicine.Nature reviews. Rheumatology · 2023Review
- Role of inflammatory burden and treatment on joint space width in psoriatic arthritis-a high-resolution peripheral quantitative computed tomography study.Arthritis research & therapy · 2023Article
- Analysis of Hand Joint Space Morphology in Women and Men with Hereditary Hemochromatosis.Calcified tissue international · 2023Article
- SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models.Scientific reports · 2022Article
- Ultra-high resolution computed tomography of joints: practical recommendations for acquisition protocol optimization.Quantitative imaging in medicine and surgery · 2021Article
- Deep negative volume segmentation.Scientific reports · 2021Article
- The clinical application of high-resolution peripheral computed tomography (HR-pQCT) in adults: state of the art and future directions.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021Review
- Multi-Modal Imaging to Assess the Interaction Between Inflammation and Bone Damage Progression in Inflammatory Arthritis.Frontiers in medicine · 2020Article
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Authors and funding
15 authors at 8 institutions in 7 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundJoint space assessment for rheumatoid arthritis (RA) by ordinal conventional radiographic scales is susceptible to floor and ceiling effects. High-resolution peripheral quantitative computed tomography (HR-pQCT) provides superior resolution, and may detect earlier changes. The goal of this work was to compare existing 3D methods to calculate joint space width (JSW) metrics in human metacarpophalangeal (MCP) joints with HR-pQCT and reach consensus for future studies. Using the consensus method, we established reproducibility with repositioning as well as feasibility for use in second-generation HR-pQCT scanners.
methodsThree published JSW methods were compared using datasets from individuals with RA from three research centers. A SPECTRA consensus method was developed to take advantage of strengths of the individual methods. Using the SPECTRA method, reproducibility after repositioning was tested and agreement between scanner generations was also established.
resultsWhen comparing existing JSW methods, excellent agreement was shown for JSW minimum and mean (ICC 0.987-0.996) but not maximum and volume (ICC 0.000-0.897). Differences were identified as variations in volume definitions and algorithmic differences that generated high sensitivity to boundary conditions. The SPECTRA consensus method reduced this sensitivity, demonstrating good scan-rescan reliability (ICC >0.911) except for minimum JSW (ICC 0.656). There was strong agreement between results from first- and second-generation HR-pQCT (ICC >0.833).
conclusionsThe SPECTRA consensus method combines unique strengths of three independently-developed algorithms and leverages underlying software updates to provide a mature analysis to measure 3D JSW. This method is robust with respect to repositioning and scanner generations, suggesting its suitability for detecting change.
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