ArticleQuantitative imaging in medicine and surgery2026
A computer-aided method for the automatic localization of the left ventricular long axis on coronary computed tomography angiography.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Automated Cardiac Reorientation and Slice Extraction in Cine Coronary CT Angiography: Agreement with Cardiovascular Magnetic Resonance.Tomography (Ann Arbor, Mich.) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The accurate identification of the left ventricular long axis is important for standardized cardiac orientation and quantitative analysis in coronary computed tomography angiography (CCTA). However, current workflows often require manual adjustment, leading to variability and increased workload. This study aimed to develop a computer-aided method for the automatic localization of the left ventricular long axis. Methods: Eighty-eight patients undergoing CCTA were retrospectively analyzed. We employed a specific range of tangential slopes within the outer contour in the mid-to-lower region and applied further correction to build spatial localization of the long axis, with physician annotations on 3D Slicer serving as the reference. The consistency was assessed via the Spearman correlation coefficient and Bland-Altman analysis. Results: In the coordinate system, the physician-labeled long axis (Axis Conclusions: Determining and validating the left ventricular long axis from distinct ventricular features can markedly enhance the efficiency of image processing and analysis.
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.