Evidence map›Paper›PMID 35943618›Full record

ArticleAnnals of biomedical engineering2022

Aortic Dissection is Determined by Specific Shape and Hemodynamic Interactions.

Jessica G Williams, David Marlevi, Jan L Bruse, Farhad R Nezami, Hamed Moradi, Ronald N Fortunato, Spandan Maiti, Marie Billaud, Elazer R Edelman, Thomas G Gleason

Open access · bronzeAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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 at 6 institutions in 3 countries.

Jessica G WilliamsThoracic and Cardiac Surgery Division, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
David MarleviInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, USA.
Jan L BruseVicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009, Donostia-San Sebastián, Spain.
Farhad R NezamiThoracic and Cardiac Surgery Division, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Hamed MoradiSchool of Mechanical Engineering, Sharif University of Technology, Tehran, Iran.
Ronald N FortunatoDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA, USA.
Spandan MaitiDepartment of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA, USA.
Marie BillaudThoracic and Cardiac Surgery Division, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
Elazer R Edelman *Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, USA.
Thomas G Gleason *Institute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, USA. tgleason@som.umaryland.edu.ORCID http://orcid.org/0000-0001-5858-6073
Brigham and Women's Hospital · USMassachusetts Institute of Technology · USUniversity of Pittsburgh · USSharif University of Technology · IRUniversity of Maryland, Baltimore · USVicomtech · ES

Funding

ROS Mechanisms in BAV AortopathyR01HL109132 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GLEASON, THOMAS GILLETTE · 2012 to 2024
$6.2M
NHLBI NIH HHS 2R01HL109132-06NHLBI NIH HHS R01 HL109132
6 · The paper itself

Abstract

The aim of this study was to determine whether specific three-dimensional aortic shape features, extracted via statistical shape analysis (SSA), correlate with the development of thoracic ascending aortic dissection (TAAD) risk and associated aortic hemodynamics. Thirty-one patients followed prospectively with ascending thoracic aortic aneurysm (ATAA), who either did (12 patients) or did not (19 patients) develop TAAD, were included in the study, with aortic arch geometries extracted from computed tomographic angiography (CTA) imaging. Arch geometries were analyzed with SSA, and unsupervised and supervised (linked to dissection outcome) shape features were extracted with principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), respectively. We determined PLS-DA to be effective at separating dissection and no-dissection patients ([Formula: see text]), with decreased tortuosity and more equal ascending and descending aortic diameters associated with higher dissection risk. In contrast, neither PCA nor traditional morphometric parameters (maximum diameter, tortuosity, or arch volume) were effective at separating dissection and no-dissection patients. The arch shapes associated with higher dissection probability were supported with hemodynamic insight. Computational fluid dynamics (CFD) simulations revealed a correlation between the PLS-DA shape features and wall shear stress (WSS), with higher maximum WSS in the ascending aorta associated with increased risk of dissection occurrence. Our work highlights the potential importance of incorporating higher dimensional geometric assessment of aortic arch anatomy in TAAD risk assessment, and in considering the interdependent influences of arch shape and hemodynamics as mechanistic contributors to TAAD occurrence.

Indexed as

Aortic DissectionAortaAorta, ThoracicAzidesDeoxyglucoseHemodynamicsHumans1,3,4,6-tetra-O-acetyl-2-azido-2-deoxyglucopyranoseAzidesDeoxyglucoseAortic aneurysmStatistical shape analysisType A aortic dissection

Identifiers

PMID35943618
PMCPMC11262626
OpenAlexW4290770789

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.