ReviewJBMR plus2026
The current state of computed tomography in osteoarthritis research.
Review in JBMR plus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CT has evolved into a complementary tool for three-dimensional (3-D) structural assessment in OA research. This review highlights advances across key domains of CT-based OA imaging: structural features, shape modeling, alignment, contact stress modeling, bone morphometry and BMD, articular cartilage, meniscus, and combination with other modalities. CT's high-resolution bone visualization enables accurate quantification of osteophytes, subchondral bone cysts, and sclerosis, as well as precise measurement of joint space width (JSW). The high geometric fidelity of CT also facilitates 3-D bone shape modeling. Additionally, CT supports dynamic evaluation of joint mechanics, including articular contact stress estimates. Weight-bearing CT enables functional assessment of joint alignment and JSW under physiologic loads. QCT, HR-pQCT, and micro-CT support detailed analysis of periarticular bone morphometry and BMD, capturing microarchitectural changes linked to OA severity. CT arthrography provides high-contrast visualization of articular cartilage and has shown superior sensitivity over MRI for detecting cartilage and meniscal defects. Dual-energy CT enables material differentiation, offering a noninvasive alternative to arthrocentesis. Spectral photon-counting CT combines ultra-high spatial resolution with multi-energy tissue characterization, improving the accuracy of compositional and structural assessment. Moreover, CT provides the anatomical framework for hybrid imaging modalities, such as PET CT and SPECT CT, which can assess bone metabolic activity. Together, these emerging CT modalities allow detailed 3-D analysis of bone geometry and subchondral changes, as well as evaluation of cartilage thickness and meniscal integrity, alongside accurate 3-D alignment measurements. These advances establish CT as a versatile platform for developing OA imaging biomarkers, monitoring disease progression, and enhancing clinical trial outcomes. Insights gained from these technologies will continue to inform future OA research and guide clinical decision-making.
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Identifiers
What Socratic holds
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 Socratic graph.