ReviewEmergency radiology2021
Dual energy CT in clinical routine: how it works and how it adds value.
Review in Emergency radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Practical applications of photon-counting CT in oncology: an organ-based pictorial review.Insights into imaging · 2026Article
- Dual-energy CT virtual non-calcium imaging for differentiating pathologic from non-pathologic femoral fractures: a study of inexperienced non-radiologist readers.Skeletal radiology · 2026Article
- Comparison of Low-Iodine Concentration Quantification Accuracy and Contrast-To-Noise Ratio Across Three Dual-Energy CT Techniques: A Phantom Study.Journal of medical radiation sciences · 2026Article
- Spectral Computed Tomography Angiography in Visceral Artery Aneurysms: Technical Principles and Clinical Applications.Tomography (Ann Arbor, Mich.) · 2026Review
- Photon-Counting CT in Musculoskeletal Radiology: Technical Principles, Clinical Applications, and Future Directions.Journal of the Belgian Society of Radiology · 2026Review
- Change in Emergency Department Length of Stay following Routine Adoption of Dual-Energy CT to Differentiate Intracranial Hemorrhage from Calcification.AJNR. American journal of neuroradiology · 2025Article
- Comparison of image quality in carotid dual-energy computed tomography angiography at 55 keV virtual monoenergetic imaging using deep learning and adaptive iterative reconstruction algorithm.Journal of clinical imaging science · 2025Article
- Innovative imaging approaches for neuroendocrine tumor characterization: Combined dual energy CT and perfusion protocol implementation.Radiology case reports · 2024Article
- Value of spectral parameters in the differential diagnosis of benign and malignant breast nodules in non-enhanced chest CT.Quantitative imaging in medicine and surgery · 2024Article
- CT-based synthetic iodine map generation using conditional denoising diffusion probabilistic model.Medical physics · 2024Article
- CT-based synthetic contrast-enhanced dual-energy CT generation using conditional denoising diffusion probabilistic model.Physics in medicine and biology · 2024Article
- Photon-Counting Computed Tomography: Experience in Musculoskeletal Imaging.Korean journal of radiology · 2024Review
- What to Expect (and What Not) from Dual-Energy CT Imaging Now and in the Future?Journal of imaging · 2024Review
- Pancreatic Iodine Density and Fat Fraction on Dual-Energy Computed Tomography in Acute Pancreatitis.Diagnostics (Basel, Switzerland) · 2024Article
- Feasibility of using 8 mL of iodinated contrast media in cerebral computed tomographic angiography with a dual-layer spectral detector.Quantitative imaging in medicine and surgery · 2024Article
- Comparison of the diagnostic efficacy between imaging features and iodine density values for predicting microvascular invasion in hepatocellular carcinoma.Frontiers in oncology · 2024Article
- Synthetic high-energy computed tomography image via a Wasserstein generative adversarial network with the convolutional block attention module.Quantitative imaging in medicine and surgery · 2023Article
- Obesity-Related Pitfalls of Virtual versus True Non-Contrast Imaging-An Intraindividual Comparison in 253 Oncologic Patients.Diagnostics (Basel, Switzerland) · 2023Article
- Pros and Cons of Dual-Energy CT Systems: "One Does Not Fit All".Tomography (Ann Arbor, Mich.) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dual energy computed tomography (DECT), also known as spectral CT, refers to advanced CT technology that separately acquires high and low energy X-ray data to enable material characterization applications for substances that exhibit different energy-dependent x-ray absorption behavior. DECT supports a variety of post-processing applications that add value in routine clinical CT imaging, including material selective and virtual non-contrast images using two- and three-material decomposition algorithms, virtual monoenergetic imaging, and other material characterization techniques. Following a review of acquisition and post-processing techniques, we present a case-based approach to highlight the added value of DECT in common clinical scenarios. These scenarios include improved lesion detection, improved lesion characterization, improved ease of interpretation, improved prognostication, inherently more robust imaging protocols to account for unexpected pathology or suboptimal contrast opacification, length of stay reduction, reduced utilization by avoiding unnecessary follow-up examinations, and radiation dose reduction. A brief discussion of post-processing workflow approaches, challenges, and solutions is also included.
Indexed as
Identifiers
32483665What 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.