Evidence map›Paper›PMID 39961979›Full record

ArticleInsights into imaging2025

Influence of virtual monoenergetic reconstructions on coronary CT angiography-based fractional flow reserve with photon-counting detector CT: intra-individual comparison with energy-integrating detector CT.

Giuseppe Tremamunno, Daniel Pinos, Emese Zsarnoczay, U Joseph Schoepf, Milan Vecsey-Nagy, Chiara Gnasso, Nicola Fink, Dmitrij Kravchenko, Muhammad Taha Hagar, Joseph Griffith and 4 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

14 authors.

Giuseppe Tremamunno *Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Daniel Pinos *Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Emese ZsarnoczayDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
U Joseph SchoepfDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Milan Vecsey-NagyDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Chiara GnassoDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Nicola FinkDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Dmitrij KravchenkoDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Muhammad Taha HagarDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Joseph GriffithDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Jim O'DohertyDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Andrea LaghiDepartment of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy.
Tilman EmrichDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA. tilman.emrich@unimedizin-mainz.de.ORCID http://orcid.org/0000-0003-4156-7727
Akos Varga-SzemesDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to assess the impact of the photon-counting detector (PCD)-CT-based virtual monoenergetic image (VMI) reconstruction keV levels on CT-based fractional flow reserve (CT-FFR), compared to the energy-integrating detector (EID)-CT.

methodsPatients undergoing clinically indicated coronary CT angiography (CCTA) on an EID-CT were prospectively enrolled for a research CCTA on a PCD-CT within 30 days. PCD-CT datasets were reconstructed at VMI levels of 45, 55, 70, and 90 keV. CT-FFR was obtained semiautomatically using an on-site machine learning algorithm by two readers. CT-FFR ≤ 0.80 was considered hemodynamically significant.

resultsA total of 20 patients (63.3 ± 8.8 years; 13 men (65%) were included. Median CT-FFR values in the per-vessel analysis for PCD-CT scans were 0.86 (0.81-0.92) for 45 keV, 0.87 (0.80-0.93) for 55 keV, 0.85 (0.79-0.92) for 70 keV and 0.82 (0.76-0.89) for 90 keV, and 0.86 (0.71-0.93) for EID-CT. Comparison among different VMIs showed significant differences only for 45 vs. 90 keV (p < 0.001), and 55 vs. 90 keV (p < 0.001). No significant differences were found in the pairwise comparison between any VMI and EID-CT (all p > 0.05). PCD-CT at 70 keV showed the highest correlation (r = 0.83, p < 0.001), agreement (ICC: 0.90 (0.84-0.94)), and the lowest bias (mean bias -0.01; limits of agreement, 0.84/0.94) when compared to EID-CT.

conclusionVMI reconstructions showed significant influence on CT-FFR values only at the extreme levels of the spectrum, while no significant differences were found in comparison with EID-CT. VMI at 70 keV demonstrates the highest correlation and agreement, with the lowest bias compared to EID-CT. CRITICAL RELEVANCE STATEMENT: Evidence on novel spectral photon-counting detector (PCD)-CT's impact on CT-fractional flow reserve (FFR) is limited; our results demonstrate the feasibility of CT-FFR using PCD-CT, showing no significant differences between various virtual monoenergetic images and energy-integrating detector (EID)-CT values KEY POINTS: The impact of spectral photon-counting detector (PCD)-CT on CT-derived fractional flow reserve (CT-FFR) is unclear. Spectral PCD-CT-based CT-FFR is feasible, differing only at extreme virtual monoenergetic image levels. CT-FFR from PCD-CT at 70 keV showed the strongest correlation with energy-integrating detector-CT.

Indexed as

Computed tomography angiographyEnergy-integrating detectorFractional flow reservePhoton-counting detectorVirtual monoenergetic image

Identifiers

PMID39961979
PMCPMC11832851

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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 OpenQuestion graph.