Evidence map›Paper›PMID 32291105›Full record

ArticleUltrasound in medicine & biology2020

Attenuation Coefficient Parameter Computations for Tissue Composition Assessment of Carotid Atherosclerotic Plaque in Vivo.

Catherine N Steffel, Shahriar Salamat, Thomas D Cook, Stephanie M Wilbrand, Robert J Dempsey, Carol C Mitchell, Tomy Varghese

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Study of the Relationship Between Ultrasound Strain Indices and Cognitive Decline for Vulnerable Carotid Plaque.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020
    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

7 authors.

Catherine N SteffelDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA. Electronic address: csteffel@wisc.edu.
Shahriar SalamatDepartment of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Thomas D CookDepartment of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Stephanie M WilbrandDepartment of Neurological Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Robert J DempseyDepartment of Neurological Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Carol C MitchellDivision of Cardiovascular Medicine, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Tomy VargheseDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.

Funding

Structural Stability of Carotid Plaque and SymptomatologyR01NS064034 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI DEMPSEY, ROBERT J · 2010 to 2014
$1.5M
In-vivo Quantitative Ultrasound Imaging of Carotid Plaque Validated with 3D Reconstructed Histopathology SectionsF31HL141008 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI STEFFEL, CATHERINE NICOLE · 2018 to 2019
$64k
NHLBI NIH HHS F31 HL141008NINDS NIH HHS R01 NS064034
6 · The paper itself

Abstract

Quantitative ultrasound has been used to assess carotid plaque tissue composition. Here, we compute the attenuation coefficient (AC) in vivo with the optimum power spectral shift estimator (OPSSE) and reference phantom method (RPM), extract AC parameters and form parametric maps. Differences between OPSSE and RPM AC parameters are computed. Relationships between AC parameters, surgical scores and histopathology assessments are examined. Kendall's τ correlations between OPSSE AC and surgical scores are significant, including those between cholesterol and Standard Deviation (adjusted p = 0.038); thrombus and Minimum (adjusted p = 0.002), Maximum (adjusted p = 0.021) and Standard Deviation (adjusted p = 0.001); ulceration and Average (adjusted p = 0.033), Median (unadjusted p = 0.013), Maximum (unadjusted p = 0.039) and Mode (adjusted p = 0.009). The strongest correlations with histopathology are percentage cholesterol and Median OPSSE (unadjusted p = 0.007); percentage hemorrhage and Minimum OPSSE (adjusted p < 0.001); hemosiderin score and Median OPSSE (adjusted p = 0.010); and percentage calcium and Percentage Non-physical RPM Pixels (unadjusted p = 0.014). Kruskal-Wallis H and Dunn's post hoc tests have the ability to distinguish between groups (p < 0.05). Results suggest AC parameters may assist in vivo evaluation of carotid plaque vulnerability.

Indexed as

UltrasonographyAgedCalciumCarotid Artery DiseasesCholesterolFemaleHemorrhageHemosiderinHumansImage Interpretation, Computer-AssistedMalePlaque, AtheroscleroticThrombosisUlcerCalciumCholesterolHemosiderinAtherosclerosisAttenuation coefficientCarotid plaqueQuantitative ultrasoundUltrasound

Identifiers

PMID32291105
PMCPMC7216316

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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.