Evidence map›Paper›PMID 34821741›Full record

ArticleBioengineering (Basel, Switzerland)2021

Patient-Specific Analysis of Ascending Thoracic Aortic Aneurysm with the Living Heart Human Model.

Salvatore Cutugno, Valentina Agnese, Giovanni Gentile, Giuseppe M Raffa, Andrew D Wisneski, Julius M Guccione, Michele Pilato, Salvatore Pasta

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 13 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

8 authors at 4 institutions in 2 countries.

Salvatore CutugnoDepartment of Engineering (DING), Università Degli Studi di Palermo, Viale Delle Scienze Ed.8, 90128 Palermo, Italy.
Valentina AgneseDepartment for the Treatment and Study of Cardiothoracic Diseases and Cardiothoracic Transplantation, IRCCS-ISMETT, 90127 Palermo, Italy.
Giovanni GentileDepartment of Diagnostic and Therapeutic Services, IRCCS-ISMETT, 90127 Palermo, Italy.ORCID 0000-0003-3767-815X
Giuseppe M RaffaDepartment for the Treatment and Study of Cardiothoracic Diseases and Cardiothoracic Transplantation, IRCCS-ISMETT, 90127 Palermo, Italy.ORCID 0000-0001-7141-2561
Andrew D WisneskiDepartment of Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
Julius M GuccioneDepartment of Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
Michele PilatoDepartment for the Treatment and Study of Cardiothoracic Diseases and Cardiothoracic Transplantation, IRCCS-ISMETT, 90127 Palermo, Italy.
Salvatore PastaDepartment of Engineering (DING), Università Degli Studi di Palermo, Viale Delle Scienze Ed.8, 90128 Palermo, Italy.ORCID 0000-0002-4841-2560
Istituto Mediterraneo per i Trapianti e Terapie ad Alta Specializzazione · ITUniversity of California, San Francisco · USUniversity of Palermo · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

Ministero della Salute GR-2011-02348129
6 · The paper itself

Abstract

In ascending thoracic aortic aneurysms (ATAAs), aneurysm kinematics are driven by ventricular traction occurring every heartbeat, increasing the stress level of dilated aortic wall. Aortic elongation due to heart motion and aortic length are emerging as potential indicators of adverse events in ATAAs; however, simulation of ATAA that takes into account the cardiac mechanics is technically challenging. The objective of this study was to adapt the realistic Living Heart Human Model (LHHM) to the anatomy and physiology of a patient with ATAA to assess the role of cardiac motion on aortic wall stress distribution. Patient-specific segmentation and material parameter estimation were done using preoperative computed tomography angiography (CTA) and ex vivo biaxial testing of the harvested tissue collected during surgery. The lumped-parameter model of systemic circulation implemented in the LHHM was refined using clinical and echocardiographic data. The results showed that the longitudinal stress was highest in the major curvature of the aneurysm, with specific aortic quadrants having stress levels change from tensile to compressive in a transmural direction. This study revealed the key role of heart motion that stretches the aortic root and increases ATAA wall tension. The ATAA LHHM is a realistic cardiovascular platform where patient-specific information can be easily integrated to assess the aneurysm biomechanics and potentially support the clinical management of patients with ATAAs.

Indexed as

ascending aortic aneurysmcardiac mechanicsfinite element analysisliving heart human model

Identifiers

PMID34821741
PMCPMC8615119
OpenAlexW3208885842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.