ArticleOsteoarthritis imaging2024
A minireview of four-dimensional CT and joint biomechanics.
Article in Osteoarthritis imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Perspective: One and one make three - leveraging the synergy of imaging and biomechanics in osteoarthritis research and care.Osteoarthritis imaging · 2026Article
- Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment.Diagnostics (Basel, Switzerland) · 2025Review
- Editorial for the Special -Issue on Biomechanics and Imaging.Osteoarthritis imaging · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since its introduction, four dimensional computed tomography (4D CT) has improved the precision of a variety of diagnostic challenges such as radiation therapy in oncology and has also been expanded into cardiovascular assessments as well. Its use in musculoskeletal imaging marks a breakthrough in peripheral joint imaging, enabling detailed analysis of joint biomechanics and stability across various joints such as the knee, wrist, shoulder, and ankle. Studies employing 4D CT have offered new insights into normative and altered joint biomechanics, contributing to the diagnosis of joint pathologies and aiding in surgical planning. Looking ahead, artificial intelligence and photon-counting CT systems are poised to further refine 4D CT's capabilities, potentially leading to personalized diagnostic and therapeutic approaches based on individualized biomechanical characteristics. This review delves into the transformative role of four-dimensional computed tomography in musculoskeletal imaging, particularly its applications in understanding joint biomechanics.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.