SynthesisBMC medical imaging2025
Photon-counting CT versus energy-integrating detectors for cardiac imaging: a systematic review of evidence from in vivo human studies on image quality and radiation dose.
Synthesis in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- In vivo coronary stent evaluation using photon-counting computed tomography: diagnostic performance.European radiology · 2026Article
- Pictorial review: a step-by-step guide to coronary CT angiography with photon-counting detector CT.The British journal of radiology · 2026Review
- Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.Journal of imaging · 2026Review
- Multimodality Imaging in Myocarditis: Integrating Etiology, Diagnosis, and Risk Stratification.Current cardiology reports · 2026Review
- First scan, then treat: 10 years of the SCOT-HEART study.European heart journal supplements : journal of the European Society of Cardiology · 2026Article
- Clarifying radiation-dose trade-offs in photon-counting detector pediatric cardiac computed tomographic angiography: protocol standardization as the missing variable.Pediatric radiology · 2026Article
- Ultra-high spatial resolution at photon-counting computed tomography: technical insights and sustainable applications in cardiothoracic imaging.European radiology experimental · 2026Review
- Scatter Removal in Photon-Counting Dual-Energy Chest X-Ray Imaging Using a Moving Block Method: A Simulation Phantom Study.Sensors (Basel, Switzerland) · 2025Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundComputed tomography (CT) is central to cardiovascular diagnostics, with coronary CT angiography (CCTA) widely used for evaluating coronary artery disease (CAD) due to its high sensitivity and negative predictive value. However, conventional energy-integrating detector (EID) CT is limited by reduced contrast resolution and artifacts, especially in patients with heavy calcification or stents, which can impair diagnostic accuracy. Photon-counting CT (PCCT) is an emerging technology that directly converts X-ray photons into electrical signals, offering improved spatial resolution, contrast-to-noise ratio (CNR), and dose efficiency. While phantom studies have demonstrated its potential, clinical validation remains limited. This systematic review assesses image quality and radiation dose of PCCT versus EID in human in vivo cardiovascular imaging studies.
methodsA systematic literature search was conducted in PubMed and Embase following PRISMA guidelines. Studies comparing PCCT and EID in cardiovascular imaging in human patients were included. Outcomes of interest were image quality parameters (CNR, SNR, artifacts), subjective image quality, diagnostic confidence, and radiation dose metrics.
resultsEleven studies met the inclusion criteria, encompassing a range of cardiovascular applications including CCTA, stent assessment, and coronary calcium scoring. Across studies, PCCT consistently demonstrated the potential to improve diagnostic image quality at similar radiation doses, or to maintain the image quality while enabling significant reductions in radiation dose and, in some cases, contrast media volume. Artifact reduction, especially for blooming around calcifications, was frequently reported. However, variation in imaging protocols and outcome measures limited direct comparisons.
conclusionCurrent evidence from human in vivo studies supports that PCCT offers significant advantages in terms of image quality and radiation dose in cardiac CT examinations. Subjective image quality is particularly enhanced, while objective parameters remain influenced by technical factors and protocol selection. While findings are promising, especially for patients with complex coronary pathology, further large-scale, standardized studies are needed to confirm diagnostic and prognostic benefits in routine clinical practice.
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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.