Evidence map›Paper›PMID 38744702›Full record

ReviewAbdominal radiology (New York)2024

Approaches, advantages, and challenges to photon counting detector and multi-energy CT.

Giuseppe V Toia, Achille Mileto, Amir A Borhani, Guang-Hong Chen, Liqiang Ren, Jennifer W Uyeda, Daniele Marin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. ZS4D: Zero-Shot Self-Similarity-Steered Denoiser for Volumetric Photon-Counting CT.IEEE transactions on radiation and plasma medical sciences · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Photon-counting computed tomography in radiology.Polish journal of radiology · 2024
    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

7 authors.

Giuseppe V ToiaDepartments of Radiology and Medical Physics, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI, 53792, USA. gtoia@uwhealth.org.ORCID 0000-0001-5794-2822
Achille MiletoDepartment of Radiology, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6341-7837
Amir A BorhaniDepartment of Radiology, Northwestern University, Chicago, IL, USA.ORCID 0000-0001-8963-2984
Guang-Hong ChenDepartments of Radiology and Medical Physics, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI, 53792, USA.ORCID 0000-0002-2263-1028
Liqiang RenDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-3625-5166
Jennifer W UyedaDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-2484-7065
Daniele MarinDepartment of Radiology, Duke University Health System, Durham, NC, USA.ORCID 0000-0003-3530-5093

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photon counting detector CT (PCD-CT) is the newest major development in CT technology and has been commercially available since 2021. It offers major technological advantages over current standard-of-care energy integrating detector CT (EID-CT) including improved spatial resolution, improved iodine contrast to noise ratio, multi-energy imaging, and reduced noise. This article serves as a foundational basis to the technical approaches and concepts of PCD-CT technology with primary emphasis on detector technology in direct comparison to EID-CT. The article also addresses current technological challenges to PCD-CT with particular attention to cross talk and its causes (e.g., Compton scattering, fluorescence, charge sharing, K-escape) as well as pile-up.

Indexed as

PhotonsTomography, X-Ray ComputedHumansComputed tomographyMultienergy CTPhoton counting CT

Identifiers

What OpenQuestion holds

Textmetadata
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.