Evidence map›Paper›PMID 32503022›Full record

ArticlePhysics in medicine and biology2020

Multi-energy CT imaging for large patients using dual-source photon-counting detector CT.

Shengzhen Tao, Jeffrey F Marsh, Ashley Tao, Greg J Michalak, Kishore Rajendran, Cynthia H McCollough, Shuai Leng

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Shengzhen TaoDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America.ORCID 0000-0003-3019-3491
Jeffrey F MarshDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America.
Ashley TaoDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America.
Greg J MichalakDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America.
Kishore RajendranDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America.ORCID 0000-0002-8314-3642
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America.
Shuai LengDepartment of Radiology, Mayo Clinic, Rochester, MN, United States of America.
Mayo Clinic in Florida · US

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
NCRR NIH HHS C06 RR018898NIBIB NIH HHS R01 EB016966
6 · The paper itself

Abstract

Multi-energy CT imaging of large patients with conventional dual-energy (DE)-CT using an energy-integrating-detector (EID) is challenging due to photon starvation-induced image artifacts, especially in lower tube potential (80-100 kV) images. Here, we performed phantom experiments to investigate the performance of DECT for morbidly obese patients, using an iodine and water material decomposition task as an example, on an emulated dual-source (DS)-photon-counting-detector (PCD)-CT, and compared its performance with a clinical DS-EID-CT. An abdominal CT phantom with iodine inserts of different concentrations was wrapped with tissue-equivalent gel layers to emulate a large patient (50 cm lateral size). The phantom was scanned on a research whole-body single-source (SS)-PCD-CT (140 kV tube potential), a DS-PCD-CT (100/Sn140 kV; Sn140 indicates 140 kV with Sn filter), and a clinical DS-EID-CT (100/Sn140 kV) with the same radiation dose. Phantom scans were repeated five times on each system. The DS-PCD-CT acquisition was emulated by scanning twice on the SS-PCD-CT using different tube potentials. The multi-energy CT images acquired on each system were then reconstructed, and iodine- and water-specific images were generated using material decomposition. The root-mean-square-error (RMSE) between true and measured iodine concentrations were calculated for each system and compared. The images acquired on the DS-EID-CT showed severe artifacts, including ringing, reduced uniformity, and photon starvation artifacts, especially for low-energy images. These were largely reduced in DS-PCD-CT images. The CT number difference that was measured using regions-of-interest across field-of-view were reduced from 20.3 ± 0.9 (DS-EID-CT) to 2.5 ± 0.4 HU on DS-PCD-CT, showing improved image uniformity using DS-PCD-CT. Iodine RMSE was reduced from 3.42 ± 0.03 mg ml

Indexed as

PhotonsAlgorithmsArtifactsHumansIodineObesity, MorbidPhantoms, ImagingTomography, X-Ray ComputedWaterWhole-Body CountingIodineWater

Identifiers

PMID32503022
PMCPMC7682256
OpenAlexW3033635981

What OpenQuestion holds

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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.