Evidence map›Paper›PMID 42370278›Full record

ArticleResearch square2026

Controlled intramural fluid injection to quantify propensity to thoracic aortic dissection.

Cristina Cavinato, Baptiste Pierrat, Ehsan Ban, Mario Scheel, Mathieu Simon, Jay D Humphrey

Abstract readPreprint
In one paragraph

Article in Research square, 2026. 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

6 authors.

Cristina CavinatoLMGC, Univ. Montpellier, CNRS, Montpellier, France.ORCID 0000-0002-6021-8920
Baptiste PierratMines Saint-Etienne, Univ Lyon, Univ Jean Monnet, INSERM, U 1059, Sainbiose, Centre CIS, 42023 Saint-Etienne, France.
Ehsan BanDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Mario ScheelSynchrotron SOLEIL, 91192 Gif-sur-Yvette, France.
Mathieu SimonMines Saint-Etienne, Univ Lyon, Univ Jean Monnet, INSERM, U 1059, Sainbiose, Centre CIS, 42023 Saint-Etienne, France.ORCID 0000-0002-9760-1210
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.

Funding

Multimodality imaging-driven multifidelity modeling of aortic dissectionU01HL142518 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2018 to 2022
$2.8M
NHLBI NIH HHS U01 HL142518
6 · The paper itself

Abstract

Dissection of the thoracic aorta includes delamination of medial lamellae and permeation of blood within the media. Quantifying how biaxial loading and fluid mechanics interact to drive dissection remains a central challenge. Here we combine controlled distension-extension testing of intact porcine descending thoracic aortas with forced intramural fluid injection to investigate how axial stretch, injection rate, and needle gauge modulate propagation of intramural delamination. Across experiments, injection pressure-volume curves exhibited nonlinear responses with pressure peaks followed by stepwise pressure drops, suggesting progressive micro-delamination events within the medial lamellar network. Increasing axial stretch elevated peak injection pressure and promoted axial propagation of the permeation-delamination front. Higher injection rates induced abrupt lamellar separation and larger dissected areas, whereas smaller needle gauges generated higher upstream pressures because of increased hydraulic resistance. Synchrotron imaging revealed the transition from intralamellar fluid permeation and wall swelling to formation of a fluid-filled delamination cavity. These results support a mechanistic framework in which pressurized fluid within the aortic media behaves as a hydraulic fracture process in a layered poroelastic tissue governed by the balance between fluid pressurization, wall loading, and interlamellar strength. The findings provide insight into the biomechanical conditions contributing to initiation and propagation of aortic dissection.

Indexed as

aortic dissection mechanicsbiaxial mechanical testhistologymedial delaminationsynchrotron microtomography

Identifiers

PMID42370278
PMCPMC13308357

What OpenQuestion holds

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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.