ArticleInsights into imaging2025
Spectral CT in practice: insights from an International Atomic Energy Agency survey.
Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Practical applications of photon-counting CT in oncology: an organ-based pictorial review.Insights into imaging · 2026Article
- Application and Development of Spectral CT in Target Delineation for Lung Cancer Radiotherapy.Diagnostics (Basel, Switzerland) · 2026Review
- The Applications of Spectral CT in Interventional Radiology: Innovations in Diagnosis and Intra-procedural Guidance.Cardiovascular and interventional radiology · 2026Review
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
introductionSpectral CT is an advanced imaging technique that distinguishes X-ray energies at the detector level to provide energy-resolved images for enhanced tissue characterization and quantitative capabilities. Despite its increasing availability, there is limited information on global clinical use and quality assurance. To address this gap, the International Atomic Energy Agency conducted a global survey to assess current practices and inform future guidance development.
methodsAn online survey was disseminated internationally between October 2024 and June 2025. The questionnaire collected data on the presence and use of spectral CT, quality assurance (QA) and quality control (QC), clinical applications, dosimetry, and training. Responses were analyzed using descriptive statistics.
resultsEighty-three validated responses were received. Only a small fraction of spectral CT systems was photon-counting, nearly all installed from 2024 onward. A wide range of clinical applications was reported, including oncology, urology, cardiology, and neurological imaging. While many institutions reported access to spectral CT, utilization remains limited. Many facilities do not perform dedicated quality control (53%) and retain dosimetry practices (61%). Training gaps-especially among medical physicists-were evident. Respondents cited barriers such as insufficient training, workflow complexity, additional time for image review, limited post-processing tools, and uncertainty about clinical relevance.
conclusionsThis preliminary global survey reveals that while spectral CT access is expanding, its clinical integration and QA/QC practices remain inconsistent. Standardized protocols, targeted training-particularly for medical physicists-and international guidance are urgently needed to support safe and effective adoption of spectral imaging in routine clinical care. CRITICAL RELEVANCE STATEMENT: This global IAEA survey highlights critical gaps in spectral CT implementation and quality assurance, providing foundational insights that support future clinical advances through standardized protocols, targeted training, and globally harmonized guidance for more effective integration into radiology practice. KEY POINTS: Spectral CT adoption outpaces its clinical use and quality assurance integration. The survey shows limited training, quality control, and routine spectral CT use. Standardized guidelines and targeted training are essential for broader implementation.
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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 Socratic graph.