Evidence map›Paper›PMID 42649758›Full record

ArticleBioengineering (Basel, Switzerland)2026

Displacement Forces in Different Proximal Landing Zones for Thoracic Endovascular Aortic Repair: Towards Patient-Specific Assessment.

Michele Conti, Valentina Ceserani, Irene Baroni, Daniele Bianchi, Nicoletta Curcio, Alessandro Reali, Ferdinando Auricchio, Francesco Secchi, Daniela Mazzaccaro, Giovanni Nano and 1 more

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 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

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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

11 authors.

Michele ContiDepartment of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0003-1275-0653
Valentina CeseraniDepartment of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy.
Irene BaroniClinical Research Service, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.ORCID 0000-0002-1326-8642
Daniele BianchiUnit of Nonlinear Physics and Mathematical Models, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-5960-3805
Nicoletta Curcio3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.
Alessandro RealiDepartment of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy.
Ferdinando AuricchioDepartment of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy.
Francesco SecchiUnit of Cardiovascular Imaging, IRCCS MultiMedica, 20099 Sesto San Giovanni, Italy.ORCID 0000-0002-0357-1808
Daniela MazzaccaroDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.ORCID 0000-0002-7414-642X
Giovanni NanoDepartment of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.
Paolo RighiniOperative Unit of Vascular Surgery, IRCCS Policlinico San Donato, 20097 San Donato Milanese, Italy.ORCID 0000-0002-4038-5406

Funding

Italian Ministry of Health RF-2016-02363679
6 · The paper itself

Abstract

Thoracic endovascular aortic repair (TEVAR) is one of the main treatments, together with open aortic repair, for thoracic aortic aneurysm. This procedure is associated with low procedural morbidity and mortality and provides satisfactory mid-term results. However, identifying the optimal location for device deployment before the operation remains essential. In previous studies, computer simulations were used to examine the hemodynamic stress linked to different areas of the arch, pinpointing regions unsuitable for TEVAR delivery. Computational fluid dynamics (CFD) simulations suggest that zone 3 poses the most challenges for delivering endograft in type III arches, as it is considered a hostile region from biomechanical and hemodynamic perspectives. Morphologically, type III aortic arch shows a more pronounced curvature and a lower position of the arch, resulting in increased separation between the ascending and descending aorta. However, these studies utilized 3D geometrical models reconstructed from computed tomography angiography scans. Still, the flow boundary conditions were based on existing data rather than the specific hemodynamic characteristics of the patient. To bridge this gap, the present study uses MRI flow wave data to compute displacement forces (DFs) for each proximal landing zone. We found that zones 0 and 3 exhibited a high magnitude of displacement forces. Still, only zone 3 was identified as the most hemodynamically stressed area when the force was normalized for the lumen area. Furthermore, there was a significant discontinuity in the upward components of DFs between zone 2 and zone 3. The patient-specific assessment of displacement forces enabled us to identify suboptimal areas for TEVAR delivery, suggesting that personalized computer simulations could greatly enhance preoperative planning for TEVAR procedures.

Indexed as

aortic biomechanicscomputational fluid dynamicshemodynamicsmagnetic resonance imagingpatient-specific modelingTEVAR

Identifiers

PMID42649758
PMCPMC13509386

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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.