ArticleLa Radiologia medica2014
Assessment of dose exposure and image quality in coronary angiography performed by 640-slice CT: a comparison between adaptive iterative and filtered back-projection algorithm by propensity analysis.
Article in La Radiologia medica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Diagnostic efficacy of model-based iterative reconstruction algorithm in an assessment of coronary artery in comparison with standard hybrid-Iterative reconstruction algorithm: dose reduction and image quality.La Radiologia medica · 2019Trial
- Feasibility of deep learning-based image reconstruction using TrueFidelity for coronary calcium scoring.PloS one · 2026Article
- Structured reporting of computed tomography in the polytrauma patient assessment: a Delphi consensus proposal.La Radiologia medica · 2023Article
- Evaluation of an integrated 3D-printed phantom for coronary CT angiography using iterative reconstruction algorithm.Journal of medical radiation sciences · 2020Article
- Diagnosis of coronary artery disease in patients with atrial fibrillation using low tube voltage coronary CT angiography with isotonic low-concentration contrast agent.The international journal of cardiovascular imaging · 2019Article
- Low-Radiation-Dose Stress Myocardial Perfusion Measurement Using First-Pass Analysis Dynamic Computed Tomography: A Preliminary Investigation in a Swine Model.Investigative radiology · 2019Article
- High-resolution magnetic resonance imaging at 3T of pituitary gland: advantages and pitfalls.Gland surgery · 2019Review
- Magnetic resonance enterography (MRE) and ultrasonography (US) in the study of the small bowel in Crohn's disease: state of the art and review of the literature.Acta bio-medica : Atenei Parmensis · 2019Review
- Internal hernias: a difficult diagnostic challenge. Review of CT signs and clinical findings.Acta bio-medica : Atenei Parmensis · 2019Review
- Timing optimization of low-dose first-pass analysis dynamic CT myocardial perfusion measurement: validation in a swine model.European radiology experimental · 2019Article
- Neuroimaging in emergency: a review of possible role of pineal gland disease.Gland surgery · 2019Review
- Low-Dose Radiation Advances in Coronary Computed Tomography Angiography in the Diagnosis of Coronary Artery Disease.Current cardiology reviews · 2019Review
- Wiener filter improves diagnostic accuracy of CAD SPECT images-comparison to angiography and CT angiography.Medicine · 2019Article
- Coronary computed tomography angiography in the evaluation of intermediate risk asymptomatic individuals.La Radiologia medica · 2018Article
- The feasibility of low-concentration contrast and low tube voltage in computed tomography perfusion imaging: an animal study.Bioscience reports · 2018Article
- Weight-bearing MRI of the knee: a review of advantages and limits.Acta bio-medica : Atenei Parmensis · 2018Review
- Low Dose versus Standard Single Heartbeat Acquisition Coronary Computed Tomography Angiography.Journal of clinical imaging science · 2018Article
- Article
- Integrated non-invasive approach to atherosclerosis with cardiac CT and carotid ultrasound in patients with suspected coronary artery disease.La Radiologia medica · 2017Article
- Vanishing pineal mass in a young patient without therapy: Case report and review of the literature.The neuroradiology journal · 2016Review
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
purposeThis study was performed to confirm, by propensity score matching, whether the use of adaptive-iterative dose reduction (AIDR 3D) with a built-in automatic exposure control system provides clinical and dosimetric advantages with respect to the traditional filtered back-projection (FBP) algorithm without automatic exposure modulation. MATERIALS AND
methodsA total of 200 consecutive patients undergoing coronary computed tomography (CT) angiography on a 640-slice CT scanner were studied. A protocol with exposure parameters based on patient body mass index (BMI) and with images reconstructed using FBP (group A) was compared with a protocol with images acquired using tube current decided by an automatic exposure control system and reconstructed using AIDR (group B). Mean effective dose and image quality with both objective and subjective measurements were assessed.
resultsMean effective dose was 23.6 % lower in group B than in group A (2.56 versus 3.34 mSv; p < 0.0001). Noise was significantly lower in group B with consequent higher signal-to-noise (SNR) and contrast-to-noise (CNR) (p < 0.0001) compared with group A. Subjective quality parameters were also significantly higher in group B.
conclusionsComparative analysis by propensity score matching confirms that AIDR 3D with automatic exposure control is able to reduce significantly the mean radiation dose and improve the image quality compared with traditional FBP without exposure modulation.
Indexed as
Identifiers
24553783What 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.