Evidence map›Paper›PMID 37020069›Full record

ReviewEuropean radiology2023

Clinical applications of photon counting detector CT.

Cynthia H McCollough, Kishore Rajendran, Francis I Baffour, Felix E Diehn, Andrea Ferrero, Katrina N Glazebrook, Kelly K Horst, Tucker F Johnson, Shuai Leng, Achille Mileto and 5 more

Abstract readReview
In one paragraph

Review in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
–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

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. [Contrast agent strategies in elective oncological imaging].Radiologie (Heidelberg, Germany) · 2026
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17 more citing papers are in PubMed but not listed here.

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

15 authors.

Cynthia H McColloughDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. mccollough.cynthia@mayo.edu.
Kishore RajendranDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Francis I BaffourDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Felix E DiehnDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Andrea FerreroDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Katrina N GlazebrookDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Kelly K HorstDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Tucker F JohnsonDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Shuai LengDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Achille MiletoDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Prabhakar Shantha RajiahDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Bernhard SchmidtComputed Tomography, Siemens Healthineers, Siemensstrasse 3, Forchheim, 91301, Germany.
Lifeng YuDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Thomas G FlohrComputed Tomography, Siemens Healthineers, Siemensstrasse 3, Forchheim, 91301, Germany.
Joel G FletcherDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.

Funding

Comprehensive characterization of coronary atherosclerotic disease using photon-counting-detector dual-source CT and its impact on patient managementR01EB028590 · NIBIB · MAYO CLINIC ROCHESTER · PI LENG, SHUAI, MCCOLLOUGH, CYNTHIA H · 2020 to 2023
$2.6M
NIBIB NIH HHS R01 EB028590NIH HHS r01 EB028590
6 · The paper itself

Abstract

The X-ray detector is a fundamental component of a CT system that determines the image quality and dose efficiency. Until the approval of the first clinical photon-counting-detector (PCD) system in 2021, all clinical CT scanners used scintillating detectors, which do not capture information about individual photons in the two-step detection process. In contrast, PCDs use a one-step process whereby X-ray energy is converted directly into an electrical signal. This preserves information about individual photons such that the numbers of X-ray in different energy ranges can be counted. Primary advantages of PCDs include the absence of electronic noise, improved radiation dose efficiency, increased iodine signal and the ability to use lower doses of iodinated contrast material, and better spatial resolution. PCDs with more than one energy threshold can sort the detected photons into two or more energy bins, making energy-resolved information available for all acquisitions. This allows for material classification or quantitation tasks to be performed in conjunction with high spatial resolution, and in the case of dual-source CT, high pitch, or high temporal resolution acquisitions. Some of the most promising applications of PCD-CT involve imaging of anatomy where exquisite spatial resolution adds clinical value. These include imaging of the inner ear, bones, small blood vessels, heart, and lung. This review describes the clinical benefits observed to date and future directions for this technical advance in CT imaging. KEY POINTS: • Beneficial characteristics of photon-counting detectors include the absence of electronic noise, increased iodine signal-to-noise ratio, improved spatial resolution, and full-time multi-energy imaging. • Promising applications of PCD-CT involve imaging of anatomy where exquisite spatial resolution adds clinical value and applications requiring multi-energy data simultaneous with high spatial and/or temporal resolution. • Future applications of PCD-CT technology may include extremely high spatial resolution tasks, such as the detection of breast micro-calcifications, and quantitative imaging of native tissue types and novel contrast agents.

Indexed as

IodineIodine CompoundsContrast MediaHumansPhantoms, ImagingPhotonsTomography Scanners, X-Ray ComputedTomography, X-Ray ComputedContrast MediaIodineIodine CompoundsHumansIodinePhotonsRadiation dosageTomography, X-ray computed

Identifiers

PMID37020069
PMCPMC10330165

What OpenQuestion holds

Textmetadata
LicenceTDM
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.