Evidence map›Paper›PMID 31703217›Full record

ArticlePhysics in medicine and biology2019

Radiation dose efficiency of multi-energy photon-counting-detector CT for dual-contrast imaging.

Liqiang Ren, Kishore Rajendran, Cynthia H McCollough, Lifeng Yu

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
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  18. Article
  19. Photon Counting CT: Clinical Applications and Future Developments.IEEE transactions on radiation and plasma medical sciences · 2021
    Article
  20. Spectral Photon Counting CT: Imaging Algorithms and Performance Assessment.IEEE transactions on radiation and plasma medical sciences · 2021
    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

4 authors.

Liqiang RenDepartment of Radiology, Mayo Clinic, 200 1st Street SW, Rochester, MN 55902, United States of America.
Kishore RajendranDepartment of Radiology, Mayo Clinic, 200 1st Street SW, Rochester, MN 55902, United States of America.ORCID 0000-0002-8314-3642
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, 200 1st Street SW, Rochester, MN 55902, United States of America.
Lifeng YuDepartment of Radiology, Mayo Clinic, 200 1st Street SW, Rochester, MN 55902, United States of America.

Funding

Photon-Counting Spectral CT to Reduce Dose and Detect Early Vascular DiseaseR01EB016966 · NIBIB · MAYO CLINIC ROCHESTER · PI MCCOLLOUGH, CYNTHIA H · 2013 to 2017
$5.1M
EXTRAMURAL RES FACIL IMPROVEMENT PROG: POLYCYSTIC KIDNEY DISEASE, RENAL STUDIES,C06RR018898 · NCRR · MAYO CLINIC · PI BURNETT, JOHN C · 2004 to 2004
$2.3M
Multi-energy CT with Energy-integrating DetectorR21EB024071 · NIBIB · MAYO CLINIC ROCHESTER · PI YU, LIFENG · 2017 to 2018
$437k
NCRR NIH HHS C06 RR018898NIBIB NIH HHS R01 EB016966NIBIB NIH HHS R21 EB024071
6 · The paper itself

Abstract

Compared to traditional multi-scan single-energy CT (SECT), one potential advantage of single-scan multi-energy CT (MECT) proposed for simultaneous imaging of multiple contrast agents is the radiation dose reduction. This phantom study aims to rigorously evaluate whether the radiation dose can truly be reduced in a single-scan MECT protocol (MECT_1s) in biphasic liver imaging with iodine and gadolinium, and small bowel imaging with iodine and bismuth, compared to traditional two-scan SECT protocols (SECT_2s). For MECT_1s, mixed iodine/gadolinium samples were prepared corresponding to late arterial/portal-venous phase for biphasic liver imaging. Mixed iodine/bismuth samples were prepared representing the arterial/enteric enhancement for small bowel imaging. For SECT_2s, separate contrast samples were prepared to mimic separate scans in arterial/venous phase and arterial/enteric enhancement. Samples were placed in a 35 cm wide water phantom and scanned by a research whole-body photon-counting-detector-CT (PCD-CT) system ('chess' mode). MECT images were acquired with optimized kV/threshold settings for each imaging task, and SECT images were acquired at 120 kV. Total CTDIvol was matched for the two protocols. Image-based three-material decomposition was employed in MECT_1s to determine the basis material concentration values, which were converted to CT numbers at 120 kV (i.e. virtual SECT images) to compare with the SECT images directly acquired with SECT_2s. The noise difference between the SECT and the virtual SECT images was compared to evaluate the dose efficiency of MECT_1s. Compared to SECT_2s, MECT_1s was not dose efficient for both imaging tasks. The amount of noise increase is highly task dependent, with noise increased by 203%/278% and 110%/82% in virtual SECT images for iodine/gadolinium and iodine/bismuth quantifications, respectively, corresponding to dose increase by 819%/1328% and 340%/230% in MECT_1s to achieve the same image noise level. MECT with the current PCD-CT technique requires higher radiation dose than SECT to achieve the same image quality.

Indexed as

Contrast MediaPhotonsBismuthGadoliniumHumansIntestinesIodineLiverPhantoms, ImagingRadiation DosageTomography, X-Ray ComputedBismuthContrast MediaGadoliniumIodine

Identifiers

PMID31703217
PMCPMC6980362

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.