Evidence map›Paper›PMID 28858564›Full record

ArticleRadiology2018

Atherosclerotic Plaque Tissue: Noninvasive Quantitative Assessment of Characteristics with Software-aided Measurements from Conventional CT Angiography.

Malachi Sheahan, Xiaonan Ma, David Paik, Nancy A Obuchowski, Samantha St Pierre, William P Newman, Guenevere Rae, Eric S Perlman, Michael Rosol, James C Keith and 1 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

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  9. Observational
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  16. Observational
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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

11 authors.

Malachi SheahanFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
Xiaonan MaFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
David PaikFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
Nancy A ObuchowskiFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
Samantha St PierreFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
William P NewmanFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
Guenevere RaeFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
Eric S PerlmanFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
Michael RosolFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
James C KeithFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).
Andrew J BucklerFrom the Louisiana State University Health Sciences Center, New Orleans, La (M.S., W.P.N., G.R.); Elucid Bioimaging, 225 Main St, Wenham, MA 01984 (X.M., D.P., S.S.P., M.R., J.C.K., A.J.B.); Department of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Perlman Advisory Group, Boynton Beach, Fla (E.S.P.).

Funding

vascuCAP: Non-invasive Computer-Aided Phenotyping of VasculopathyR44HL126224 · NHLBI · ELUCID · PI BUCKLER, ANDREW JOHN · 2015 to 2021
$4.6M
NHLBI NIH HHS R44 HL126224
6 · The paper itself

Abstract

Purpose To (a) evaluate whether plaque tissue characteristics determined with conventional computed tomographic (CT) angiography could be quantitated at higher levels of accuracy by using image processing algorithms that take characteristics of the image formation process coupled with biologic insights on tissue distributions into account by comparing in vivo results and ex vivo histologic findings and (b) assess reader variability. Materials and Methods Thirty-one consecutive patients aged 43-85 years (average age, 64 years) known to have or suspected of having atherosclerosis who underwent CT angiography and were referred for endarterectomy were enrolled. Surgical specimens were evaluated with histopathologic examination to serve as standard of reference. Two readers used lumen boundary to determine scanner blur and then optimized component densities and subvoxel boundaries to best fit the observed image by using semiautomatic software. The accuracy of the resulting in vivo quantitation of calcification, lipid-rich necrotic core (LRNC), and matrix was assessed with statistical estimates of bias and linearity relative to ex vivo histologic findings. Reader variability was assessed with statistical estimates of repeatability and reproducibility. Results A total of 239 cross sections obtained with CT angiography and histologic examination were matched. Performance on held-out data showed low levels of bias and high Pearson correlation coefficients for calcification (-0.096 mm

Indexed as

AdultAgedAged, 80 and overAlgorithmsCarotid StenosisComputed Tomography AngiographyDiagnosis, Computer-AssistedFemaleHumansMaleMiddle AgedObserver VariationPlaque, AtheroscleroticSoftwareVascular Calcification

Identifiers

PMID28858564
PMCPMC5790306

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.