Evidence map›Paper›PMID 37400303›Full record

ArticleUltrasound in medicine & biology2023

In Vivo Adaptive Bayesian Regularized Lagrangian Carotid Strain Imaging for Murine Carotid Arteries and Its Associations With Histological Findings.

Rashid Al Mukaddim, Yuming Liu, Melissa Graham, Jens C Eickhoff, Ashley M Weichmann, Matthew C Tattersall, Claudia E Korcarz, James H Stein, Tomy Varghese, Kevin W Eliceiri and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasound in medicine & biology, 2023. 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
–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

3 citing papers in PubMed.

  1. Lagrangian deformation tracking for strain imaging.Progress in biomedical engineering (Bristol, England) · 2026
    Review
  2. Article
  3. Mouse Cardiovascular Imaging.Current protocols · 2024
    Review
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

11 authors.

Rashid Al MukaddimDepartment of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.
Yuming LiuLaboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA.
Melissa GrahamResearch Animal Resources and Compliance, Comparative Pathology Laboratory, University of Wisconsin-Madison, Madison, WI, USA.
Jens C EickhoffDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
Ashley M WeichmannSmall Animal Imaging and Radiotherapy Facility, Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA.
Matthew C TattersallDepartment of Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Claudia E KorcarzDepartment of Medicine, University of Wisconsin-Madison, Madison, WI, USA.
James H SteinDepartment of Medicine, University of Wisconsin-Madison, Madison, WI, USA.
Tomy VargheseDepartment of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.
Kevin W EliceiriDepartment of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA; Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA; Small Animal Imaging and Radiotherapy Facility, Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA; Morgridge Institute for Research, Madison, WI, USA.
Carol MitchellDepartment of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: ccm@medicine.wisc.edu.

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
Quantitative histopathology for cancer prognosis using quantitative phase imaging on stained tissuesR01CA238191 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ANASTASIO, MARK A, ELICEIRI, KEVIN WILLIAM · 2019 to 2023
$3.1M
Early Detection of Vascular Dysfunction Using Biomarkers from Lagrangian Carotid Strain ImagingR01HL147866 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI VARGHESE, TOMY · 2020 to 2023
$2.9M
Ultrasonic and Photoacoustic Imaging System for Cancer & Cardiovascular ResearchS10OD018505 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI VARGHESE, TOMY · 2015 to 2015
$908k
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA238191NHLBI NIH HHS R01 HL147866NIH HHS S10 OD018505
6 · The paper itself

Abstract

objectivesNon-invasive methods for monitoring arterial health and identifying early injury to optimize treatment for patients are desirable. The objective of this study was to demonstrate the use of an adaptive Bayesian regularized Lagrangian carotid strain imaging (ABR-LCSI) algorithm for monitoring of atherogenesis in a murine model and examine associations between the ultrasound strain measures and histology.

methodsUltrasound radiofrequency (RF) data were acquired from both the right and left common carotid artery (CCA) of 10 (5 male and 5 female) ApoE

resultsSex-specific differences in strain indices of mice at 6, 16 and 24 wk were observed. For male mice, axial PMSRI and SPADI changed significantly from 6 to 24 wk (mean axial PMSRI at 6 wk = 14.10 ± 5.33% and that at 24 wk = -3.03 ± 5.61%, p < 0.001). For female mice, lateral MASI increased significantly from 6 to 24 wk (mean lateral MASI at 6 wk = 10.26 ± 3.13% and that at 24 wk = 16.42 ± 7.15%, p = 0.048). Both cohorts exhibited strong associations with ex vivo histological findings (male mice: correlation between number of elastin fibers and axial PMSRI: r

conclusionThe results indicate that ABR-LCSI can be used to measure arterial wall strain in a murine model and that changes in strain are associated with changes in arterial wall structure and plaque formation.

Indexed as

Carotid StenosisElasticity Imaging TechniquesAnimalsBayes TheoremCarotid ArteriesDisease Models, AnimalFemaleMaleMiceUltrasonographyAdaptive Bayesian regularizationAtherosclerosisCardiovascular diseaseCarotid elastographyCarotid strain imagingHigh-frequency ultrasoundMurine model

Identifiers

PMID37400303
PMCPMC10527160

What OpenQuestion holds

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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.