ArticleSurgical and radiologic anatomy : SRA2025
Identification of elbow joint structures on cadaver sectioned images in various planes for radiologic analysis.
Article in Surgical and radiologic anatomy : SRA, 2025. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeConventional imaging modalities, including MRI and ultrasonography, often fail to depict the intricate anatomy of the elbow in sufficient detail. This study presents high-resolution sectional and surface anatomical images to enhance understanding of elbow morphology and aid interpretation of MRI and ultrasound in clinical practice.
methodsSectioned images of a male cadaver from the Visible Korean dataset were analyzed. The cadaver was sectioned horizontally at 0.2-mm intervals and photographed to produce high-resolution (3040 × 2008 pixels), true-color images. Coronal and sagittal reconstructions were generated to visualize elbow structures. Bones, muscles, blood vessels, and nerves were identified and traced across multiple planes, and the resulting images were compared with corresponding ultrasound views to confirm spatial correlations.
resultsThe images revealed various elbow structures in great detail. Horizontal images displayed muscle origins and insertions, and ligament orientations, while coronal images highlighted the relationships between tendons and ligaments. Sagittal images distinctly showed the articulation of the humeroulnar and humeroradial joints. Additionally, illustrations of surface anatomy facilitated the correlation with clinical ultrasound images. No significant anatomical variations were observed compared to established literature.
conclusionThe high-resolution anatomical images presented in this study enhance understanding of elbow anatomy and facilitate MRI and ultrasound interpretation. These resources can support more accurate diagnosis and treatment of elbow disorders and serve as effective educational tools for medical trainees.
Indexed as
Identifiers
40993362What 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.