Evidence map›Paper›PMID 39225677›Full record

ArticleJournal of biomechanical engineering2024

In Vivo Quantification of Ascending Thoracic Aortic Aneurysm Wall Stretch Using MRI: Relationship to Repair Threshold Diameter and Ex Vivo Wall Failure Behavior.

Huiming Dong, Henrik Haraldsson, Joseph Leach, Ang Zhou, Megan Ballweber, Chengcheng Zhu, Yue Xuan, Zhongjie Wang, Michael Hope, Frederick H Epstein and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomechanical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Huiming DongDepartment of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA 94121; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Henrik HaraldssonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA 94121; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Joseph LeachDepartment of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA 94121; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Ang ZhouDepartment of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA 94121; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Megan BallweberDepartment of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA 94121; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Chengcheng ZhuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA 94121; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Yue XuanDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94121; Department of Cardiac Surgery, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Zhongjie WangDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94121; Department of Cardiac Surgery, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Michael HopeDepartment of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA 94121; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Frederick H EpsteinDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22908.
Liang GeDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94121; Department of Cardiac Surgery, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
David SalonerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA 94121; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Elaine TsengDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94121; Department of Cardiac Surgery, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.
Dimitrios MitsourasDepartment of Radiology and Biomedical Imaging, University of California, San Francisco , San Francisco, CA 94121; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA 94121.

Funding

Biomechanical Understanding of Ascending Thoracic Aortic AneurysmsR01HL119857 · NHLBI · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI GE, LIANG, TSENG, ELAINE EVELINA · 2015 to 2018
$1.5M
Hemodynamics of thrombosis after transcatheter aortic valve-in-valve implantationK25HL150408 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI XUAN, YUE · 2020 to 2022
$528k
CSRD VA I01 CX002071CSRD VA I01 CX002465NHLBI NIH HHS K25 HL150408NHLBI NIH HHS R01 HL119857
6 · The paper itself

Abstract

Ascending thoracic aortic aneurysms (aTAAs) can lead to life-threatening dissection and rupture. Recent studies have highlighted aTAA mechanical properties as relevant factors associated with progression. The aim of this study was to quantify in vivo aortic wall stretch in healthy participants and aTAA patients using displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging. Moreover, aTAA wall stretch between surgical and nonsurgical patients was investigated. Finally, DENSE measurements were compared to reference-standard mechanical testing on aTAA specimens from surgical repairs. In total, 18 subjects were recruited, six healthy participants and 12 aTAA patients, for this prospective study. Electrocardiogram-gated DENSE imaging was performed to measure systole-diastole wall stretch, as well as the ratio of aTAA stretch to unaffected descending thoracic aorta stretch. Free-breathing and breath-hold DENSE protocols were used. Uniaxial tensile testing-measured indices were correlated to DENSE measurements in five harvested specimens. in vivo aortic wall stretch was significantly lower in aTAA compared to healthy subjects (1.75±1.44% versus 5.28±1.92%, respectively, P = 0.0004). There was no correlation between stretch and maximum aTAA diameter (P = 0.56). The ratio of aTAA to unaffected thoracic aorta wall stretch was significantly lower in surgical candidates compared to nonsurgical candidates (0.993±0.011 versus 1.017±0.016, respectively, P = 0.0442). Finally, in vivo aTAA wall stretch correlated to wall failure stress and peak modulus of the intima (P = 0.017 and P = 0.034, respectively), while the stretch ratio correlated to whole-wall thickness failure stretch and stress (P = 0.013 and P = 0.040, respectively). Aortic DENSE has the potential to assess differences in aTAA mechanical properties and progressions.

Indexed as

Aortic Aneurysm, ThoracicMagnetic Resonance ImagingAdultAgedAorta, ThoracicBiomechanical PhenomenaFemaleHumansMaleMechanical PhenomenaMiddle AgedStress, MechanicalTensile Strengthaortic wall stretchascending thoracic aortic aneurysmDENSE Imagingmechanical testingrisk stratification

Identifiers

PMID39225677
PMCPMC12502004

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.