Evidence map›Paper›PMID 26840654›Full record

ArticleRadiology2016

Abdominal Imaging with Contrast-enhanced Photon-counting CT: First Human Experience.

Amir Pourmorteza, Rolf Symons, Veit Sandfort, Marissa Mallek, Matthew K Fuld, Gregory Henderson, Elizabeth C Jones, Ashkan A Malayeri, Les R Folio, David A Bluemke

Abstract readComparative Study
In one paragraph

Article in Radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

102 citing papers in PubMed.

  1. Review
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  17. Article
  18. Article
  19. Photon-counting computed tomography in radiology.Polish journal of radiology · 2024
    Review
  20. Review

42 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

10 authors.

Amir PourmortezaFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
Rolf SymonsFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
Veit SandfortFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
Marissa MallekFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
Matthew K FuldFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
Gregory HendersonFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
Elizabeth C JonesFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
Ashkan A MalayeriFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
Les R FolioFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).
David A BluemkeFrom Radiology and Imaging Sciences, National Institutes of Health Clinical Center, 10 Center Dr, Bldg 10, Bethesda, MD 20892 (A.P., R.S., V.S., M.M., G.H., E.C.J., A.A.M., L.R.F., D.A.B.); and Siemens Medical Solutions, Malvern, Pa (M.K.F.).

Funding

Molecular Biomedical Imaging Laboratory (NIBIB)ZIAEB000072 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI BLUEMKE, DAVID · 2010 to 2017
$5.0M
Molecular Biomedical Imaging Laboratory (CC)ZIACL090019 · CLC · CLINICAL CENTER · PI JONES, ELIZABETH C. · 2010 to 2017
$0k
Intramural NIH HHS ZIA CL090019Intramural NIH HHS ZIA EB000072PHS HHS ZIACL090019PHS HHS ZIAEB000072
6 · The paper itself

Abstract

purposeTo evaluate the performance of a prototype photon-counting detector (PCD) computed tomography (CT) system for abdominal CT in humans and to compare the results with a conventional energy-integrating detector (EID). MATERIALS AND

methodsThe study was HIPAA-compliant and institutional review board-approved with informed consent. Fifteen asymptomatic volunteers (seven men; mean age, 58.2 years ± 9.8 [standard deviation]) were prospectively enrolled between September 2 and November 13, 2015. Radiation dose-matched delayed contrast agent-enhanced spiral and axial abdominal EID and PCD scans were acquired. Spiral images were scored for image quality (Wilcoxon signed-rank test) in five regions of interest by three radiologists blinded to the detector system, and the axial scans were used to assess Hounsfield unit accuracy in seven regions of interest (paired t test). Intraclass correlation coefficient (ICC) was used to assess reproducibility. PCD images were also used to calculate iodine concentration maps. Spatial resolution, noise-power spectrum, and Hounsfield unit accuracy of the systems were estimated by using a CT phantom.

resultsIn both systems, scores were similar for image quality (median score, 4; P = .19), noise (median score, 3; P = .30), and artifact (median score, 1; P = .17), with good interrater agreement (image quality, noise, and artifact ICC: 0.84, 0.88, and 0.74, respectively). Hounsfield unit values, spatial resolution, and noise-power spectrum were also similar with the exception of mean Hounsfield unit value in the spinal canal, which was lower in the PCD than the EID images because of beam hardening (20 HU vs 36.5 HU; P < .001). Contrast-to-noise ratio of enhanced kidney tissue was improved with PCD iodine mapping compared with EID (5.2 ± 1.3 vs 4.0 ± 1.3; P < .001).

conclusionThe performance of PCD showed no statistically significant difference compared with EID when the abdomen was evaluated in a conventional scan mode. PCD provides spectral information, which may be used for material decomposition.

Indexed as

Contrast MediaAgedFemaleHumansMaleMiddle AgedPhotonsProspective StudiesRadiographic Image Interpretation, Computer-AssistedRadiography, AbdominalSemiconductorsSensitivity and SpecificityTomography, X-Ray ComputedContrast Media

Identifiers

PMID26840654
PMCPMC4820083

What OpenQuestion holds

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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.