Evidence map›Paper›PMID 32720868›Full record

ArticleRadiology2020

Improved Sensitivity and Reader Confidence in CT Colonography Using Dual-Layer Spectral CT: A Phantom Study.

Markus M Obmann, Chansik An, Amanda Schaefer, Yuxin Sun, Zhen J Wang, Judy Yee, Benjamin M Yeh

Open access · greenAbstract read
In one paragraph

Article in Radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 12 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.

Markus M ObmannFrom the Department of Radiology and Biomedical Imaging, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94117 (M.M.O., C.A., A.S., Y.S., Z.J.W., B.M.Y.); and Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, New York, NY (J.Y.).ORCID 0000-0001-6586-0034
Chansik AnFrom the Department of Radiology and Biomedical Imaging, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94117 (M.M.O., C.A., A.S., Y.S., Z.J.W., B.M.Y.); and Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, New York, NY (J.Y.).ORCID 0000-0002-0484-6658
Amanda SchaeferFrom the Department of Radiology and Biomedical Imaging, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94117 (M.M.O., C.A., A.S., Y.S., Z.J.W., B.M.Y.); and Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, New York, NY (J.Y.).ORCID 0000-0003-4544-744X
Yuxin SunFrom the Department of Radiology and Biomedical Imaging, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94117 (M.M.O., C.A., A.S., Y.S., Z.J.W., B.M.Y.); and Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, New York, NY (J.Y.).ORCID 0000-0001-8060-3693
Zhen J WangFrom the Department of Radiology and Biomedical Imaging, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94117 (M.M.O., C.A., A.S., Y.S., Z.J.W., B.M.Y.); and Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, New York, NY (J.Y.).ORCID 0000-0002-2065-5296
Judy YeeFrom the Department of Radiology and Biomedical Imaging, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94117 (M.M.O., C.A., A.S., Y.S., Z.J.W., B.M.Y.); and Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, New York, NY (J.Y.).ORCID 0000-0001-9663-956X
Benjamin M YehFrom the Department of Radiology and Biomedical Imaging, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94117 (M.M.O., C.A., A.S., Y.S., Z.J.W., B.M.Y.); and Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, New York, NY (J.Y.).ORCID 0000-0003-2174-3009
Albert Einstein College of Medicine · US

Funding

Augmenting Dual Energy CT for Novel Contrast AgentsR42DK104580 · NIDDK · NEXTRAST, INC. · PI YEH, BENJAMIN M · 2017 to 2019
$1.5M
NIDDK NIH HHS R42 DK104580
6 · The paper itself

Abstract

Background Limited cathartic preparations for CT colonography with fecal tagging can improve patient comfort but may result in nondiagnostic examinations from poorly tagged stool. Dual-energy CT may overcome this limitation by improving the conspicuity of the contrast agent, but more data are needed. Purpose To investigate whether dual-energy CT improves polyp detection in CT colonography compared with conventional CT at different fecal tagging levels in vitro. Materials and Methods In this HIPAA-compliant study, between December 2017 and August 2019, a colon phantom 30 cm in diameter containing 60 polyps of different shapes (spherical, ellipsoid, flat) and size groups (5-9 mm, 11-15 mm) was constructed and serially filled with simulated feces tagged with four different iodine concentrations (1.26, 2.45, 4.88, and 21.00 mg of iodine per milliliter), then it was scanned with dual-energy CT with and without an outer fat ring to simulate large body size (total diameter, 42 cm). Two readers independently reviewed conventional 120-kVp CT and 40-keV monoenergetic dual-energy CT images to record the presence of polyps and confidence (three-point scale.) Generalized estimating equations were used for sensitivity comparisons between conventional CT and dual-energy CT, and a Wilcoxon signed-rank test was used for reader confidence. Results Dual-energy CT had higher overall sensitivity for polyp detection than conventional CT (58.8%; 95% confidence interval [CI]: 49.7%, 67.3%; 564 of 960 polyps vs 42.1%; 95% CI: 32.1%, 52.8%; 404 of 960 polyps;

Indexed as

Colonic PolypsColonography, Computed TomographicContrast MediaHumansPhantoms, ImagingRadiography, Dual-Energy Scanned ProjectionSensitivity and SpecificityTomography, X-Ray ComputedContrast Media

Identifiers

PMID32720868
PMCPMC7526947
OpenAlexW3046105906

What OpenQuestion holds

Textmetadata
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.