ReviewCureus2024
A Review of Photon-Counting Computed Tomography (PCCT) in the Diagnosis of Cardiovascular Diseases.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07020039 (Comparing Photon Counting Computed Tomography With Invasive Coronary Angiography and Intravascular Ultrasound in Detecting Cardiac Allograft Vasculopathy), which is not on this map. Cited by 8 papers.
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.
Comparing Photon Counting Computed Tomography With Invasive Coronary Angiography and Intravascular Ultrasound in Detecting Cardiac Allograft Vasculopathy
Who cites it
8 citing papers in PubMed.
- MRI-Derived Evaluation of Liver Function and Its Extension to K-Edge Photon-Counting CT: Focus on Gadolinium-Based Functional Biliary Imaging.Diagnostics (Basel, Switzerland) · 2026Review
- A physics primer on photon-counting detectors in CT: Physics, signal formation, and performance.Medical physics · 2026Review
- Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.Journal of imaging · 2026Review
- Scientific Publication Trend: Using Advanced Technologies in Cardiovascular Disease Research in theJournal of cardiovascular development and disease · 2026Article
- Multimodal diagnostic imaging for early mitral valve disease: integration of current and emerging modalities-a narrative review.Cardiovascular diagnosis and therapy · 2025Review
- Current imaging applications, radiomics, and machine learning modalities of CNS demyelinating disorders and its mimickers.Journal of neurology · 2025Review
- Revolutionizing cardiac imaging: how photon-counting computed tomography is redefining coronary artery stent assessmentDiagnostic and interventional radiology (Ankara, Turkey) · 2025Article
- Chronic Inflammatory Diseases and Cardiovascular Risk: Current Insights and Future Strategies for Optimal Management.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photon-counting computed tomography (PCCT) is an innovative mechanism used for imaging and provides higher spatial resolution and contrast sensitivity in comparison with the orthodox energy-integrating detectors (EIDs). Unlike EID-based CT systems, which indirectly convert X-ray photons to electrical signals, PCCT directly counts and quantifies each photon's energy, enhancing image quality and material separation. With all of these features, PCCT is especially useful for cardiovascular imaging, where it is essential to precisely observe cardiac tissues, vascular structures, and coronary arteries. Around the globe, cardiovascular diseases (CVDs) continue to be the primary cause of morbidity and death, and early, precise diagnosis is essential for effective management. This review examines the role of PCCT in diagnosing CVDs, highlighting its enhanced capabilities in improving the precision in diagnosis as well as patient outcomes compared to conventional CT methods. While current evidence supports PCCT's advantages, further research is necessary to validate these findings and facilitate its broader clinical adoption.
Indexed as
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.