Evidence map›Paper›PMID 24297014›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2013

Acoustic radiation force beam sequence performance for detection and material characterization of atherosclerotic plaques: preclinical, ex vivo results.

Russell H Behler, Tomasz J Czernuszewicz, Chih-Da Wu, Timothy C Nichols, Hongtu Zhu, Jonathon W Homeister, Elizabeth P Merricks, Caterina M Gallippi

Abstract read
In one paragraph

Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Delineation of Human Carotid Plaque Features In Vivo by Exploiting Displacement Variance.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2019
    Observational
  3. Article
  4. Article
  5. On the Feasibility of Quantifying Fibrous Cap Thickness With Acoustic Radiation Force Impulse (ARFI) Ultrasound.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2016
    Article
  6. Article
  7. 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.

Russell H Behler
Tomasz J Czernuszewicz
Chih-Da Wu
Timothy C Nichols
Hongtu Zhu
Jonathon W Homeister
Elizabeth P Merricks
Caterina M Gallippi

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
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 K02HL105659NHLBI NIH HHS R01 HL092944NHLBI NIH HHS R01HL092944NHLBI NIH HHS T32 HL069768NHLBI NIH HHS T32HL069768NINDS NIH HHS R01 NS074057NINDS NIH HHS R01NS074057
6 · The paper itself

Abstract

This work presents preclinical data demonstrating performance of acoustic radiation force (ARF)-based elasticity imaging with five different beam sequences for atherosclerotic plaque detection and material characterization. Twelve trained, blinded readers evaluated parametric images taken ex vivo under simulated in vivo conditions of 22 porcine femoral arterial segments. Receiver operating characteristic (ROC) curve analysis was carried out to quantify reader performance using spatially-matched immunohistochemistry for validation. The beam sequences employed had high sensitivity (sens) and specificity (spec) for detecting Type III+ plaques (sens: 85%, spec: 79%), lipid pools (sens: 80%, spec: 86%), fibrous caps (sens: 86%, spec: 82%), calcium (sens: 96%, spec: 85%), collagen (sens: 78%, spec: 77%), and disrupted internal elastic lamina (sens: 92%, spec: 75%). 1:1 single-receive tracking yielded the highest median areas under the ROC curve (AUC), but was not statistically significantly higher than 4:1 parallel-receive tracking. Excitation focal configuration did not result in statistically different AUCs. Overall, these results suggest ARF-based imaging is relevant to detecting and characterizing plaques and support its use for diagnosing and monitoring atherosclerosis.

Indexed as

AlgorithmsAnimalsElasticity Imaging TechniquesFemoral ArteryImage Processing, Computer-AssistedPhantoms, ImagingPlaque, AtheroscleroticROC CurveSwine

Identifiers

PMID24297014
PMCPMC4097991

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.