Evidence map›Paper›PMID 35708838›Full record

ArticleEuropean radiology2022

First-generation clinical dual-source photon-counting CT: ultra-low-dose quantitative spectral imaging.

Leening P Liu, Nadav Shapira, Andrew A Chen, Russell T Shinohara, Pooyan Sahbaee, Mitchell Schnall, Harold I Litt, Peter B Noël

Abstract read
In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Review
  2. K-Edge imaging using a clinical dual-source photon-counting CT system.Journal of applied clinical medical physics · 2026
    Article
  3. Obese patient imaging: Potential dose reduction with photon-counting CT.Journal of applied clinical medical physics · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Obese patient imaging: improved dose efficiency with photon-counting CT.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Leening P LiuDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. leening@seas.upenn.edu.ORCID http://orcid.org/0000-0003-0560-5394
Nadav ShapiraDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Andrew A ChenPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Pooyan SahbaeeSiemens Medical Solutions, Malvern, PA, USA.
Mitchell SchnallDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Harold I LittDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Peter B NoëlDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. pbnoel@upenn.edu.

Funding

Patient-specific, high-sensitivity spectral CT for assessment of pancreatic cancerR01EB030494 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI GANG, JIANAN GRACE, NOËL, PETER B · 2021 to 2024
$2.4M
NIBIB NIH HHS R01 EB030494
6 · The paper itself

Abstract

objectiveEvaluation of image characteristics at ultra-low radiation dose levels of a first-generation dual-source photon-counting computed tomography (PCCT) compared to a dual-source dual-energy CT (DECT) scanner.

methodsA multi-energy CT phantom was imaged with and without an extension ring on both scanners over a range of radiation dose levels (CTDI

resultsOur results demonstrate the high precision of HU measurements for a wide range of inserts and radiation exposure levels with PCCT. We report high performance for both scanners across a wide range of radiation exposure levels, with PCCT outperforming at low exposures compared to DECT. PCCT scans at the lowest radiation exposures illustrate significant reduction in electronic background noise, with a mean percent reduction of 74% (p value ~ 10

conclusionsThis paper reports the first experiences with a clinical dual-source PCCT. PCCT provides reliable HUs without disruption from electronic background noise for a wide range of dose values. Diagnostic benefits are not only for quantification at an ultra-low dose but also for imaging of obese patients. KEY POINTS: PCCT scanners provide precise and reliable Hounsfield units at ultra-low dose levels. The influence of electronic background noise can be removed at ultra-low-dose acquisitions with PCCT. Both spectral platforms have high performance along a wide range of radiation exposure levels, with PCCT outperforming at low radiation exposures.

Indexed as

Tomography, X-Ray ComputedHumansPhantoms, ImagingRadiation DosageDiagnostic imagingRadiation dosageX-ray computed tomography

Identifiers

PMID35708838
PMCPMC10071880

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Registered trials

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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.