Evidence map›Paper›PMID 32833633›Full record

ArticleIEEE transactions on medical imaging2020

Carotid Plaque Fibrous Cap Thickness Measurement by ARFI Variance of Acceleration: In Vivo Human Results.

Gabriela Torres, Tomasz J Czernuszewicz, Jonathon W Homeister, Mark A Farber, Melissa C Caughey, Caterina M Gallippi

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. 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
    Article
  3. 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

6 authors at 1 institution in 1 country.

Gabriela Torres
Tomasz J Czernuszewicz
Jonathon W Homeister
Mark A Farber
Melissa C Caughey
Caterina M Gallippi
University of North Carolina at Chapel Hill · 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

This study evaluates the performance of an acoustic radiation force impulse (ARFI)-based outcome parameter, the decadic logarithm of the variance of acceleration, or log(VoA), for measuring carotid fibrous cap thickness. Carotid plaque fibrous cap thickness measurement by log(VoA) was compared to that by ARFI peak displacement (PD) in patients undergoing clinically indicated carotid endarterectomy using a spatially-matched histological validation standard. Fibrous caps in parametric log(VoA) and PD images were automatically segmented using a custom clustering algorithm, and a pathologist with expertise in atherosclerosis hand-delineated fibrous caps in histology. Over 10 fibrous caps, log(VoA)-derived thickness was more strongly correlated to histological thickness than PD-derived thickness, with Pearson correlation values of 0.98 for log(VoA) compared to 0.89 for PD. The log(VoA)-derived cap thickness also had better agreement with histology-measured thickness, as assessed by the concordance correlation coefficient (0.95 versus 0.62), and, by Bland-Altman analysis, was more consistent than PD-derived fibrous cap thickness. These results suggest that ARFI log(VoA) enables improved discrimination of fibrous cap thickness relative to ARFI PD and further contributes to the growing body of evidence demonstrating ARFI's overall relevance to delineating the structure and composition of carotid atherosclerotic plaque for stroke risk prediction.

Indexed as

AtherosclerosisCarotid StenosisEndarterectomy, CarotidPlaque, AtheroscleroticAccelerationCarotid ArteriesHumans

Identifiers

PMID32833633
PMCPMC7725192
OpenAlexW3080439396

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.