ArticleImaging in medicine2009
Radiation dose reduction in computed tomography: techniques and future perspective.
Article in Imaging in medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 2 of them syntheses that pooled it.
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
127 citing papers in PubMed, 2 syntheses or guidelines pooled it, 389 citations in OpenAlex.
- Exploring the impact of artificial intelligence on radiation dose reduction in urological imaging: a systematic review from EAU endourology.World journal of urology · 2026Pooled it
- Artificial intelligence in personalized computed tomography dose optimization: a systematic review of techniques and clinical outcomes.Frontiers in medicine · 2026Pooled it
- Feasibility study of 'Triple-Low' technique for coronary artery computed tomography angiography (CCTA).Scientific reports · 2024Trial
- Diagnostic reliability of low dose multidetector CT and cone beam CT in maxillofacial trauma-an experimental blinded and randomized study.Dento maxillo facial radiology · 2018Trial
- Computed Tomography Angiography of Carotid Arteries and Vertebrobasilar System: A Simulation Study for Radiation Dose Reduction.Medicine · 2015Trial
- Radiomics-Based Machine Learning for Sarcopenia Detection in Abdominal and Low-Dose CT.Diagnostics (Basel, Switzerland) · 2026Article
- Impact of Simulated Radiation Dose Reduction on Deep Learning-Based Renal Segmentation Performance: A Simulation Study Using the KiTS21 (2021 Kidney and Kidney Tumor Segmentation Challenge) Dataset.International neurourology journal · 2026Article
- Establishing Diagnostic Reference Level for Adult Abdomen and Pelvis CT Scans: A Benchmarking Study across BMI Groups.The Indian journal of radiology & imaging · 2026Article
- High-Fidelity CT Image Denoising with De-TransGAN: A Transformer-Augmented GAN Framework with Attention Mechanisms.Bioengineering (Basel, Switzerland) · 2025Article
- Comparative Evaluation of Autologous Sticky Bone, Platelet-Rich Fibrin, and Octacalcium Phosphate-Coated Deproteinized Bovine Bone Material for the Regeneration of Human Periodontal Infrabony Defects: Protocol for a Randomized Controlled Clinical Trial.JMIR research protocols · 2025Article
- Optimizing Radiation Risk Assessment in CT Imaging: Establishing Institutional Diagnostic Reference Levels and Personalized Dose Strategies for Chest, Abdomen, and Pelvis Scans.Tomography (Ann Arbor, Mich.) · 2025Article
- Quantifying Leg Muscle Disuse Atrophy During Bed Rest Using DXA, CT, and MRI.European journal of sport science · 2025Article
- Development of optimised protocols for paediatric whole-body computed tomography examinations: a figure-of-merit approach.BMC medical imaging · 2025Article
- Reduced dose helical CT scout imaging on next generation wide volume CT system decreases scan length and overall radiation exposure.European journal of radiology open · 2024Article
- Engineering with Biomedical Sciences Changing the Horizon of Healthcare-A Review.Bioengineered · 2024Review
- Developing Cut-off Values for Low and Very Low Bone Mineral Density at the Thoracic Spine Using Quantitative Computed Tomography.Calcified tissue international · 2024Article
- Video frame interpolation neural network for 3D tomography across different length scales.Nature communications · 2024Article
- Article
- LDCT image denoising algorithm based on two-dimensional variational mode decomposition and dictionary learning.Scientific reports · 2024Article
- Evaluation of an in-use chest CT protocol in lung cancer screening - A single institutional study.Acta radiologica open · 2024Article
67 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Despite universal consensus that computed tomography (CT) overwhelmingly benefits patients when used for appropriate indications, concerns have been raised regarding the potential risk of cancer induction from CT due to the exponentially increased use of CT in medicine. Keeping radiation dose as low as reasonably achievable, consistent with the diagnostic task, remains the most important strategy for decreasing this potential risk. This article summarizes the general technical strategies that are commonly used for radiation dose management in CT. Dose-management strategies for pediatric CT, cardiac CT, dual-energy CT, CT perfusion and interventional CT are specifically discussed, and future perspectives on CT dose reduction are presented.
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.