ArticleThe international journal of cardiovascular imaging2013
CT coronary angiography: impact of adapted statistical iterative reconstruction (ASIR) on coronary stenosis and plaque composition analysis.
Article in The international journal of cardiovascular imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 53 citations in OpenAlex.
- Coronary CT angiography for the assessment of atherosclerotic plaque inflammation: postmortem proof of concept with histological validation.European radiology · 2024Article
- Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography.European radiology · 2022Article
- Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction.Korean journal of radiology · 2020Article
- Reducing both radiation and contrast doses in coronary CT angiography in lean patients on a 16-cm wide-detector CT using 70 kVp and ASiR-V algorithm, in comparison with the conventional 100-kVp protocol.European radiology · 2019Article
- An automatic multi-class coronary atherosclerosis plaque detection and classification framework.Medical & biological engineering & computing · 2019Article
- The role of advanced reconstruction algorithms in cardiac CT.Cardiovascular diagnosis and therapy · 2017Review
- Improved Estimation of Coronary Plaque and Luminal Attenuation Using a Vendor-specific Model-based Iterative Reconstruction Algorithm in Contrast-enhanced CT Coronary Angiography.Academic radiology · 2017Article
- Plaque assessment by coronary CT.The international journal of cardiovascular imaging · 2016Review
- Article
- Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque--a comparison with histology.European radiology · 2015Article
- Dose reduction for coronary calcium scoring with hybrid and model-based iterative reconstruction: an ex vivo study.The international journal of cardiovascular imaging · 2014Article
- Computed tomography depiction of small pediatric vessels with model-based iterative reconstruction.Pediatric radiology · 2014Article
- Coronary computed tomography angiography with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination.European heart journal · 2014Article
- The effect of iterative reconstruction on quantitative computed tomography assessment of coronary plaque composition.The international journal of cardiovascular imaging · 2014Article
- The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography.The international journal of cardiovascular imaging · 2013Article
- First in vivo head-to-head comparison of high-definition versus standard-definition stent imaging with 64-slice computed tomography.The international journal of cardiovascular imaging · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To assess the impact of adaptive statistical iterative reconstruction (ASIR) on coronary plaque volume and composition analysis as well as on stenosis quantification in high definition coronary computed tomography angiography (CCTA). We included 50 plaques in 29 consecutive patients who were referred for the assessment of known or suspected coronary artery disease (CAD) with contrast-enhanced CCTA on a 64-slice high definition CT scanner (Discovery HD 750, GE Healthcare). CCTA scans were reconstructed with standard filtered back projection (FBP) with no ASIR (0 %) or with increasing contributions of ASIR, i.e. 20, 40, 60, 80 and 100 % (no FBP). Plaque analysis (volume, components and stenosis degree) was performed using a previously validated automated software. Mean values for minimal diameter and minimal area as well as degree of stenosis did not change significantly using different ASIR reconstructions. There was virtually no impact of reconstruction algorithms on mean plaque volume or plaque composition (e.g. soft, intermediate and calcified component). However, with increasing ASIR contribution, the percentage of plaque volume component between 401 and 500 HU decreased significantly (p < 0.05). Modern image reconstruction algorithms such as ASIR, which has been developed for noise reduction in latest high resolution CCTA scans, can be used reliably without interfering with the plaque analysis and stenosis severity assessment.
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.