Evidence map›Paper›PMID 40824173›Full record

ReviewEchocardiography (Mount Kisco, N.Y.)2025

Spectral Imaging Techniques in Heart Disease Assessment Using Photon-Counting Detector Computed Tomography.

Sámuel Beke, Emese Zsarnóczay, Lili Száraz, Borbála Vattay, Dmitrij Kravchenko, Milan Vecsey-Nagy, Giuseppe Tremamunno, Tilman Emrich, Akos Varga-Szemes, Bálint Szilveszter and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Echocardiography (Mount Kisco, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Sámuel BekeDepartment of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
Emese ZsarnóczayDepartment of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-7952-8478
Lili SzárazDepartment of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
Borbála VattayHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Dmitrij KravchenkoDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA.
Milan Vecsey-NagyHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Giuseppe TremamunnoDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA.
Tilman EmrichDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA.
Akos Varga-SzemesDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA.
Bálint SzilveszterHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Pál Maurovich-HorvatDepartment of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The photon-counting detector (PCD) system was developed to overcome the limitations of traditional energy-integrating detectors (EIDs) in computed tomography. This technique results in a higher contrast-to-noise ratio (CNR), better spatial resolution, and additionally provides detector-based spectral information. Spectral imaging is based on the acquisition and detection of different photon energy spectra. By using spectral information, image quality (IQ) can be improved, and materials can be distinguished; furthermore, their quantity and concentration can be determined. Spectral data-based parameters and reconstructions can be utilized in calcification measurement, luminal stenosis assessment, and myocardium characterization. The aim of this review is to summarize the spectral imaging applications of PCD computed tomography in the assessment of heart diseases.

Indexed as

Heart DiseasesTomography, X-Ray ComputedCalcinosisComputed Tomography AngiographyHumansMyocardiumPhotonsmaterial decompositionphoton‐counting detector computed tomographyspectral imagingvirtual monoenergetic images

Identifiers

PMID40824173
PMCPMC12360279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.