Evidence map›Paper›PMID 38028186›Full record

ArticleEuropean journal of radiology open2023

Photon-counting detector CT allows significant reduction in radiation dose while maintaining image quality and noise on non-contrast chest CT.

Achala Donuru, Tetsuro Araki, Farouk Dako, Jaydev K Dave, Raul Porto Perez, Dongming Xu, Arun Nachiappan, Eduardo Mortani Barbosa, Peter Noel, Harold Litt and 1 more

Open access · goldAbstract read
In one paragraph

Article in European journal of radiology open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Obese patient imaging: Potential dose reduction with photon-counting CT.Journal of applied clinical medical physics · 2026
    Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Obese patient imaging: improved dose efficiency with photon-counting CT.medRxiv : the preprint server for health sciences · 2025
    Article
  8. Review
  9. Review
  10. Misleading Model: Why the 5% Cancer Risk from Computed Tomography Scans Is Overstated.American journal of respiratory and critical care medicine · 2025
    Article
  11. Clinical applications of portable CT scanners.The British journal of radiology · 2025
    Review
  12. Review
  13. Review
  14. Article
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 at 2 institutions in 1 country.

Achala DonuruDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Tetsuro ArakiDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Farouk DakoDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Jaydev K DaveDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Raul Porto PerezDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Dongming XuDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Arun NachiappanDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Eduardo Mortani BarbosaDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Peter NoelDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Harold LittDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Friedrich KnollmanDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Hospital of the University of Pennsylvania · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate if clinical non-contrast chest CT studies obtained with PCD CT using much lower radiation exposure can achieve the same image quality as with the currently established EID protocol. Materials/methods: A total of seventy-one patients were identified who had a non-contrast chest computed tomography (CT) done on PCD CT and EID CT scanners within a 4-month interval. Five fellowship trained chest radiologists, blinded to the scanner details were asked to review the cases side-by-side and record their preference for images from either the photon-counting-detector (PCD) CT or the energy-integrating detector (EID) CT scanner. Results: The median CTDIvol for PCD-CT system was 4.710 mGy and EID system was 7.80 mGy (p < 0.001). The median DLP with the PCD-CT was 182.0 mGy.cm and EID system was 262.60 mGy.cm (p < 0.001). The contrast to noise ratio (CNR) was superior on the PCD-CT system 59.2 compared to the EID-CT 53.3; (p < 0.001). Kappa-statistic showed that there was poor agreement between the readers over the image quality from the PCD and EID scanners (κ = 0.19; 95 % CI: 0.12 - 0.27; p < 0.001). Chi-square analysis revealed that 3 out of 5 readers showed a significant preference for images from the PCDCT (p ≤ 0.012). There was no significant difference in the preferences of two readers between EID-CT and PCD-CT images. Conclusion: The first clinical PCD-CT system allows a significant reduction in radiation exposure while maintaining image quality and image noise using a standardized non-contrast chest CT protocol.

Indexed as

Energy integrating detectorsPhoton counting computed tomographyVirtual monoenergetic imaging

Identifiers

PMID38028186
PMCPMC10665661
OpenAlexW4388581913

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.