Evidence map›Paper›PMID 22907636›Full record

ArticleEuropean radiology2013

Changes in measured size of atherosclerotic plaque calcifications in dual-energy CT of ex vivo carotid endarterectomy specimens: effect of monochromatic keV image reconstructions.

Lorenzo Mannelli, Lee M Mitsumori, Marina Ferguson, Dongxiang Xu, Baocheng Chu, Kelley R Branch, William P Shuman, Chun Yuan

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Article in European radiology, 2013. 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
–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

8 citing papers in PubMed.

  1. Trial
  2. CT imaging features of carotid artery plaque vulnerability.Annals of translational medicine · 2020
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

8 authors.

Lorenzo MannelliDepartments of Radiology, University of Washington, Seattle, WA, USA. mannellilorenzo@yahoo.it
Lee M Mitsumori
Marina Ferguson
Dongxiang Xu
Baocheng Chu
Kelley R Branch
William P Shuman
Chun Yuan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to compare the size of the calcifications measured on the different keV images to a histological standard.

methodsFive ex vivo carotid endarterectomy (CEA) specimens were imaged with a dual-energy CT. CT images were reconstructed at different monochromatic spectral energies (40, 60, 77, 80, 100, 120, 140 keV). Cross-sectional area of the plaque calcifications present on each CT image was measured. The histological calcium areas on each corresponding CEA specimen were traced manually on digitised images of Toluidine Blue/Basic Fuchsin stained plastic sections. The CT images and corresponding histology sections were matched. The CT-derived calcium areas on each keV image were compared to the calcified area measurements by histology.

resultsA total of 107 histology sections were matched to corresponding CT images. The average calcified area per section by histology was 7.6 ± 7 mm(2) (range 0-26.4 mm(2)). There was no significant difference between the calcified areas measured by histology and those measured on CT-virtual monochromatic spectral (VMS) reconstructed images at 77 keV (P = 0.08), 80 keV (P = 0.20) and 100 keV (P = 0.14).

conclusionsCalcium area measured on the 80 keV image set was most comparable to the amount of calcium measured by histology.

Indexed as

Biopsy, NeedleCalcinosisCarotid StenosisConfidence IntervalsEndarterectomy, CarotidFemaleHumansImage Processing, Computer-AssistedImmunohistochemistryMalePlaque, AtheroscleroticRadiographic Image Interpretation, Computer-AssistedSampling StudiesSensitivity and SpecificitySpecimen HandlingTomography, X-Ray Computed

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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.