ReviewJapanese journal of radiology2025
Contrast medium dose optimization in the era of multi-energy CT.
Review in Japanese journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed.
- Photon-counting CT in head and neck radiology: bridging detector physics and clinical applications.European radiology · 2026Review
- Deep learning image reconstruction for 50-keV virtual monoenergetic dual-energy CT of the thyroid: a prospective "dual-low" dose study.European radiology · 2026Article
- Efficiency and Optimization of Iodinated Contrast Agents in Cerebral Aneurysm CT Angiography: A Systematic Review.Diagnostics (Basel, Switzerland) · 2026Review
- Percutaneous thermal ablation for renal cell carcinoma: a comprehensive review of current evidence and future directions.La Radiologia medica · 2026Review
- Severe iodinated contrast extravasation following coronary CT angiography: A case report.Radiology case reports · 2026Article
- Seeing the invisible: practical strategies to maximize the clinical impact of photon-counting CT in abdominal imaging.Abdominal radiology (New York) · 2026Review
- Prospective pilot evaluation of dark borosilicate oral contrast media for the evaluation of the stomach and small bowel using CT.Abdominal radiology (New York) · 2026Article
- Development and validation of a machine learning-based radiomics model using 45-keV virtual monoenergetic images for differentiating fat-poor angiomyolipoma from clear cell renal cell carcinoma.Translational andrology and urology · 2026Article
- Spectral Computed Tomography Angiography in Visceral Artery Aneurysms: Technical Principles and Clinical Applications.Tomography (Ann Arbor, Mich.) · 2026Review
- Accuracy of Photon Dose Calculation on Photon-Counting Computed Tomography-A Comparison Study Based on Virtual Monoenergetic and Electron Density (Rho) Images for Pancreatic Cases.Advances in radiation oncology · 2026Article
- Dual-energy CT for hypovascular liver metastases: does better image quality translate to clinical benefit?La Radiologia medica · 2026Article
- Spectral CT in practice: insights from an International Atomic Energy Agency survey.Insights into imaging · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the increasing use of contrast-enhanced CT, optimizing the iodinated contrast medium (ICM) dose while maintaining diagnostically adequate image quality is essential to mitigate potential adverse effects on patients, the environment, and public health, as well as to reduce medical costs and address potential supply shortages. Multi-energy CT technologies including dual-energy CT and photon-counting detector CT enable data acquisition at multiple energy spectra, allowing for material characterization beyond the capabilities of conventional single-energy CT. Recent technical advancements and the growing adoption of these technologies in clinical practice have enhanced patient care across various diagnostic tasks. Among the spectral-based imaging options offered by multi-energy CT, virtual monoenergetic imaging holds significant promise for substantial ICM dose reduction due to the drastic improvement in iodine contrast at lower energy levels. This article aims to provide an overview of multi-energy CT technology and its utility for ICM dose optimization across various clinical indications, while also discussing current issues and related topics.
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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.