Evidence map›Paper›PMID 38874705›Full record

ArticleAnnals of biomedical engineering2024

In Vivo Three-Dimensional Geometric Reconstruction of the Mouse Aortic Heart Valve.

Daniel P Gramling, Aletea L van Veldhuisen, Frederick W Damen, Kaitlyn Thatcher, Felix Liu, David McComb, Joy Lincoln, Christopher K Breuer, Craig J Goergen, Michael S Sacks

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Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Daniel P GramlingWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Aletea L van VeldhuisenWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Frederick W DamenWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Kaitlyn ThatcherDepartment of Pediatrics, Medical College of Wisconsin, Herma Heart Institute, Children's Wisconsin Milwaukee, Milwaukee, WI, USA.
Felix LiuCenter for Electron Microscopy and Analysis, The Ohio State University, Columbus, OH, USA.
David McCombCenter for Electron Microscopy and Analysis, The Ohio State University, Columbus, OH, USA.
Joy LincolnDepartment of Pediatrics, Medical College of Wisconsin, Herma Heart Institute, Children's Wisconsin Milwaukee, Milwaukee, WI, USA.
Christopher K BreuerTissue Engineering and Surgical Research, Nationwide Children's Hospital, Columbus, OH, USA.
Craig J GoergenWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Michael S SacksDepartment of Biomedical Engineering, James T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA. msacks@oden.utexas.edu.ORCID http://orcid.org/0000-0002-3199-2204

Funding

Biomechanical indicators of bicuspid aortic valve dysfunctionR01HL142504 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI GORMAN, ROBERT C, HSU, MING-CHEN · 2018 to 2021
$2.9M
Spatial Analysis of Cardiac Disease using Murine Four-Dimensional UltrasoundF30HL145980 · NHLBI · PURDUE UNIVERSITY · PI DAMEN, FREDERICK W · 2019 to 2021
$141k
NHLBI NIH HHS F30 HL145980NHLBI NIH HHS National Institutes of Health grant HL142504
6 · The paper itself

Abstract

Aortic valve (AV) disease is a common valvular lesion in the United States, present in about 5% of the population at age 65 with increasing prevalence with advancing age. While current replacement heart valves have extended life for many, their long-term use remains hampered by limited durability. Non-surgical treatments for AV disease do not yet exist, in large part because our understanding of AV disease etiology remains incomplete. The direct study of human AV disease remains hampered by the fact that clinical data is only available at the time of treatment, where the disease is at or near end stage and any time progression information has been lost. Large animal models, long used to assess replacement AV devices, cannot yet reproduce AV disease processes. As an important alternative mouse animal models are attractive for their ability to perform genetic studies of the AV disease processes and test potential pharmaceutical treatments. While mouse models have been used for cellular and genetic studies of AV disease, their small size and fast heart rates have hindered their use for tissue- and organ-level studies. We have recently developed a novel ex vivo micro-CT-based methodology to 3D reconstruct murine heart valves and estimate the leaflet mechanical behaviors (Feng et al. in Sci Rep 13(1):12852, 2023). In the present study, we extended our approach to 3D reconstruction of the in vivo functional murine AV (mAV) geometry using high-frequency four-dimensional ultrasound (4DUS). From the resulting 4DUS images we digitized the mAV mid-surface coordinates in the fully closed and fully opened states. We then utilized matched high-resolution µCT images of ex vivo mouse mAV to develop mAV NURBS-based geometric model. We then fitted the mAV geometric model to the in vivo data to reconstruct the 3D in vivo mAV geometry in the closed and open states in n = 3 mAV. Results demonstrated high fidelity geometric results. To our knowledge, this is the first time such reconstruction was ever achieved. This robust assessment of in vivo mAV leaflet kinematics in 3D opens up the possibility for longitudinal characterization of murine models that develop aortic valve disease.

Indexed as

Aortic ValveAnimalsImaging, Three-DimensionalMaleMiceMice, Inbred C57BLModels, CardiovascularGeometric anatomical modelsHeart valve diseaseIn vivo ultrasound imagingMouse animal models

Identifiers

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Registered trials

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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.