Evidence map›Paper›PMID 41735815›Full record

ReviewKorean journal of radiology2026

Photon-Counting CT in Cardiovascular Imaging: Clinical Applications.

Prabhakar Shantha Rajiah, James M Williams, Michael LaVere, Shuai Leng, Phillip M Young

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Prabhakar Shantha RajiahDepartment of Radiology, Mayo Clinic, Rochester, MN, USA. Rajiah.Prabhakar@mayo.edu.ORCID https://orcid.org/0000-0001-7538-385X
James M WilliamsDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0002-9936-9275
Michael LaVereDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0009-0007-0618-2860
Shuai LengDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0002-6453-9481
Phillip M YoungDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photon-counting CT (PCCT) uses semiconductor detectors to directly convert X-ray photons to electrical signals, the intensity of which is directly proportional to the energy of the individual photons. PCCT offers several advantages in cardiovascular imaging, including ultra-high-resolution (UHR) imaging, improved multi-energy capabilities, reduced noise and artifacts, and improved iodine signal and radiation dose efficiencies. UHR imaging enhances the assessment of small vessels, dense calcifications, and stents. Multienergy mode enhances the iodine signal, reduces artifacts, and allows for material separation and lesion characterization. In this article, we review PCCT technology, highlight the benefits of PCCT in cardiovascular imaging using case examples, and discuss its challenges.

Indexed as

Cardiovascular DiseasesPhotonsTomography, X-Ray ComputedArtifactsHumansRadiation DosageStentsCardiac imagingCTPhoton-counting CTPlaqueStent

Identifiers

PMID41735815
PMCPMC12936579

What OpenQuestion holds

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LicenceCC BY-NC
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.