Evidence map›Paper›PMID 39704963›Full record

ReviewLa Radiologia medica2025

State of the art of CT myocardial perfusion.

Giuseppe Muscogiuri, Pierpaolo Palumbo, Kakuya Kitagawa, Satoshi Nakamura, Alberto Senatieri, Carlo Nicola De Cecco, Gabrielle Gershon, Gregorio Chierchia, Jessica Usai, Daniele Sferratore and 10 more

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07544277 (Spectral and Ultra High Resolution CT Systems for Non-Invasive Detection of Myocardial Ischemia), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT07544277 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Spectral and Ultra High Resolution CT Systems for Non-Invasive Detection of Myocardial Ischemia: Stress CT Perfusion VS. FFR-CT

Typeobservational_patient_registrySponsorIRCCS San RaffaeleRan2026 to 2029Enrolled142ConditionsFFR-CT, CT Angiography, CT Perfusion, Coronary Arterial Disease (CAD)
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Giuseppe Muscogiuri *Department of Radiology, ASST Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127, Bergamo, Italy. g.muscogiuri@gmail.com.ORCID http://orcid.org/0000-0003-4757-2420
Pierpaolo Palumbo *Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Kakuya KitagawaRegional Co-Creation Deployment Center, Mie University Mie Regional Plan Co-Creation Organization, Mie, Japan.
Satoshi NakamuraDepartment of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, Mie, Japan.
Alberto SenatieriSchool of Medicine, University of Milano-Bicocca, Milan, Italy.
Carlo Nicola De CeccoDivision of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University, Altanta, GA, USA.
Gabrielle GershonTranslational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.
Gregorio ChierchiaSchool of Medicine, University of Milano-Bicocca, Milan, Italy.
Jessica UsaiSchool of Medicine, University of Milano-Bicocca, Milan, Italy.
Daniele SferratoreSchool of Medicine, University of Milano-Bicocca, Milan, Italy.
Tommaso D'AngeloDiagnostic and Interventional Radiology Unit, Department of Dental and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy.
Marco GuglielmoDepartment of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Serena Dell'AversanaDepartment of Radiology, Santa Maria Delle Grazie Hospital, Pozzuoli, Italy.
Sonja JankovicCenter for Radiology, University Clinical Center Nis, Nis, Republic of Serbia.
Rodrigo SalgadoDepartment of Radiology, Antwerp University Hospital & Holy Heart Lier, Antwerp, Belgium.
Luca SabaDepartment of Radiology, Azienda Ospedaliero Universitaria, Monserrato, Cagliari, Italy.
Riccardo CauDepartment of Radiology, Azienda Ospedaliero Universitaria, Monserrato, Cagliari, Italy.
Paolo MarraDepartment of Radiology, ASST Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127, Bergamo, Italy.
Ernesto Di CesareDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Sandro SironiDepartment of Radiology, ASST Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127, Bergamo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary computed tomography angiography (CCTA) is a powerful tool to rule out coronary artery disease (CAD). In the last decade, myocardial perfusion CT (CTP) technique has been developed for the evaluation of myocardial ischemia, thereby increasing positive predictive value for diagnosis of obstructive CAD. A diagnostic strategy combining CCTA and perfusion acquisitions provides both anatomical coronary evaluation and functional evaluation of the stenosis, increasing the specificity and the positive predictive value of cardiac CT. This could improve risk stratification and guide revascularization procedures, reducing unnecessary diagnostic procedures in invasive coronary angiography. Two different acquisitions protocol have been developed for CTP. Static CTP allows a qualitative or semiquantitative evaluation of myocardial perfusion using a single scan during the first pass of iodinated contrast material in the myocardium. Dynamic CTP is capable of a quantitative evaluation of perfusion through multiple acquisitions, providing direct measure of the myocardial blood flow. For both, CTP acquisition hyperemia is reached using stressor agents such as adenosine or regadenoson. CTP in addition to CCTA acquisition shows good diagnostic accuracy compared to invasive fractional flow reserve (FFR). Furthermore, the evaluation of late iodine enhancement (LIE) could be performed allowing the detection of myocardial infarction.

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseMyocardial Perfusion ImagingContrast MediaHumansMyocardial IschemiaPredictive Value of TestsSensitivity and SpecificityContrast MediaCoronary artery diseaseDynamic CTPMyocardial ischemiaMyocardial perfusionMyocardial viabilityStatic CTP

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.