Evidence map›Paper›PMID 28711401›Full record

ArticleJournal of vascular surgery2017

Performance of acoustic radiation force impulse ultrasound imaging for carotid plaque characterization with histologic validation.

Tomasz J Czernuszewicz, Jonathon W Homeister, Melissa C Caughey, Yue Wang, Hongtu Zhu, Benjamin Y Huang, Ellie R Lee, Carlos A Zamora, Mark A Farber, Joseph J Fulton and 5 more

Abstract readComparative StudyValidation Study
In one paragraph

Article in Journal of vascular surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  3. Comparison of Filtering Methods for Calculating ARFI log(VoA) to Delineate Carotid Plaque Features, In Vivo.IEEE open journal of ultrasonics, ferroelectrics, and frequency control · 2025
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  13. Delineation of Human Carotid Plaque Features In Vivo by Exploiting Displacement Variance.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2019
    Observational
  14. ARFI variance of acceleration (VoA) for noninvasive characterization of human carotid plaques in vivo.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2017
    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

15 authors at 2 institutions in 1 country.

Tomasz J CzernuszewiczJoint Department of Biomedical Engineering, The University of North Carolina, Chapel Hill, and North Carolina State University, Raleigh, NC.
Jonathon W HomeisterDepartment of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, NC.
Melissa C CaugheyDepartment of Medicine, The University of North Carolina, Chapel Hill, NC.
Yue WangDepartment of Biostatistics, The University of North Carolina, Chapel Hill, NC.
Hongtu ZhuDepartment of Biostatistics, The University of North Carolina, Chapel Hill, NC.
Benjamin Y HuangDepartment of Radiology, The University of North Carolina, Chapel Hill, NC.
Ellie R LeeDepartment of Radiology, The University of North Carolina, Chapel Hill, NC.
Carlos A ZamoraDepartment of Radiology, The University of North Carolina, Chapel Hill, NC.
Mark A FarberDepartment of Surgery, The University of North Carolina, Chapel Hill, NC.
Joseph J FultonDepartment of Surgery, The University of North Carolina, Chapel Hill, NC.
Peter F FordDepartment of Surgery, The University of North Carolina, Chapel Hill, NC.
William A MarstonDepartment of Surgery, The University of North Carolina, Chapel Hill, NC.
Raghuveer VallabhaneniDepartment of Surgery, The University of North Carolina, Chapel Hill, NC.
Timothy C NicholsDepartment of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, NC; Department of Medicine, The University of North Carolina, Chapel Hill, NC.
Caterina M GallippiJoint Department of Biomedical Engineering, The University of North Carolina, Chapel Hill, and North Carolina State University, Raleigh, NC; Department of Radiology, The University of North Carolina, Chapel Hill, NC; Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC. Electronic address: cmgallip@email.unc.edu.
University of North Carolina at Chapel Hill · USNorth Carolina State University · US

Funding

Pre-doctoral Training Program in Integrative Vascular BiologyT32HL069768 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christopher P. Mack · 2002 to 2026
$9.7M
Transcutaneous ARFI Ultrasound for Differentiating Carotid Plaque with High Stroke RiskR01HL092944 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GALLIPPI, CATERINA M · 2009 to 2022
$5.5M
VisR Ultrasound for Noninvasively Monitoring Renal Allograft HealthR01DK107740 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Caterina M Gallippi · 2016 to 2026
$5.2M
DP ARF Ultrasound for Monitoring Muscle Degeneration in Duchenne Muscular DystropR01NS074057 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GALLIPPI, CATERINA M · 2011 to 2015
$2.0M
Independent Scientist: ARFI and RWI Ultrasound for Improved Atherosclerosis ImagiK02HL105659 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GALLIPPI, CATERINA M · 2010 to 2014
$509k
NHLBI NIH HHS K02 HL105659NHLBI NIH HHS R01 HL092944NHLBI NIH HHS T32 HL069768NIDDK NIH HHS R01 DK107740NINDS NIH HHS R01 NS074057
6 · The paper itself

Abstract

objectiveStroke is commonly caused by thromboembolic events originating from ruptured carotid plaque with vulnerable composition. This study assessed the performance of acoustic radiation force impulse (ARFI) imaging, a noninvasive ultrasound elasticity imaging method, for delineating the composition of human carotid plaque in vivo with histologic validation.

methodsCarotid ARFI images were captured before surgery in 25 patients undergoing clinically indicated carotid endarterectomy. The surgical specimens were histologically processed with sectioning matched to the ultrasound imaging plane. Three radiologists, blinded to histology, evaluated parametric images of ARFI-induced peak displacement to identify plaque features such as necrotic core (NC), intraplaque hemorrhage (IPH), collagen (COL), calcium (CAL), and fibrous cap (FC) thickness. Reader performance was measured against the histologic standard using receiver operating characteristic curve analysis, linear regression, Spearman correlation (ρ), and Bland-Altman analysis.

resultsARFI peak displacement was two-to-four-times larger in regions of NC and IPH relative to regions of COL or CAL. Readers detected soft plaque features (NC/IPH) with a median area under the curve of 0.887 (range, 0.867-0.924) and stiff plaque features (COL/CAL) with median area under the curve of 0.859 (range, 0.771-0.929). FC thickness measurements of two of the three readers correlated with histology (reader 1: R

conclusionsThis study suggests that ARFI is capable of distinguishing soft from stiff atherosclerotic plaque components and delineating FC thickness.

Indexed as

Elasticity Imaging TechniquesPlaque, AtheroscleroticAgedArea Under CurveCalciumCarotid ArteriesCarotid Artery DiseasesCollagenFemaleFibrosisHemorrhageHumansMaleMiddle AgedNecrosisObserver VariationCalciumCollagen

Identifiers

PMID28711401
PMCPMC5708537
OpenAlexW2734941031

What OpenQuestion holds

Textmetadata
LicenceTDM
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.