ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2017
Murine articular cartilage morphology and compositional quantification with high resolution cationic contrast-enhanced μCT.
Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Micro-CT-based analysis of the murine osteochondral unit: a review and recommendations for standardized subchondral bone assessment.JBMR plus · 2026Review
- A novel method for establishing a rat model of knee osteoarthritis: knee joint fixation using medical polyurethane composite wraps.Frontiers in veterinary science · 2026Article
- Advancements in High-Resolution Computed Tomography: Revolutionising Bone Health Micro-Research.Bioengineering (Basel, Switzerland) · 2025Article
- Evaluation of a lanthanide nanoparticle-based contrast agent for microcomputed tomography of porous channels in subchondral bone.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023Article
- Contrast-enhanced micro-computed tomography of compartment and time-dependent changes in femoral cartilage and subchondral plate in a murine model of osteoarthritis.Anatomical record (Hoboken, N.J. : 2007) · 2023Article
- A FoxA2+ long-term stem cell population is necessary for growth plate cartilage regeneration after injury.Nature communications · 2022Article
- Accelerating functional gene discovery in osteoarthritis.Nature communications · 2021Article
- Influence of fixation on CA4+ contrast enhanced microCT of articular cartilage and subsequent feasibility for histological evaluation.American journal of translational research · 2021Article
- dGEMRIC and CECT Comparison of Cationic and Anionic Contrast Agents in Cadaveric Human Metacarpal Cartilage.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020Article
- Contrast-Enhanced MicroCT for Virtual 3D Anatomical Pathology of Biological Tissues: A Literature Review.Contrast media & molecular imaging · 2019Review
- In vitro method for 3D morphometry of human articular cartilage chondrons based on micro-computed tomography.Osteoarthritis and cartilage · 2018Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Articular cartilage lines the load-bearing surfaces of long bones and undergoes compositional and structural degeneration during osteoarthritis progression. Contrast enhanced microcomputed tomography (μCT) is being applied to a variety of preclinical models, including the mouse, to map structural and compositional properties in 3-D. The thinness (∼30-50 μm) and high cellularity of mouse articular cartilage presents a significant imaging challenge. Our group previously showed that mouse articular cartilage and proteoglycan (PG) content can be assessed by μCT with the ioxagalate-based contrast agent Hexabrix, but the voxel size used (6 μm) was deemed to be barely adequate. The objective of the present study is to assess the utility of a novel contrast agent, CA4+, to quantify mouse articular cartilage morphology and composition with high resolution μCT imaging (3 μm voxels) and to compare the sensitivity of CA4+ and Hexabrix to detect between-group differences. While both contrast agents are iodine-based, Hexabrix is anionic and CA4+ is cationic so they interact differently with negatively charged PGs. With CA4+, a strong correlation was found between non-calcified articular cartilage thickness measurements made with histology and μCT (R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.