Evidence map›Paper›PMID 42135525›Full record

ArticleCardiovascular engineering and technology2026

Development of a Novel Holistic Assessment Strategy of TAVI-Induced Flow Restoration via Dimensionality Reduction Techniques.

Tianai Wang, Tobias Zeus, Christine Quast, Ayse Sedef Ceylan, Kathrin Klein, Malte Kelm, Francesca Dell'Agnello, Simona Celi, Ulrich Steinseifer, Michael Neidlin

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Article in Cardiovascular engineering and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Tianai WangCardiovascular Engineering, Applied Medical Engineering, RWTH Aachen University, Forckenbeckstr. 55, 52074, Aachen, Germany. wang@ame.rwth-aachen.de.ORCID http://orcid.org/0009-0000-5851-3915
Tobias ZeusDepartment of Cardiology, Pulmonary Diseases and Vascular Medicine, Heinrich-Heine University, Düsseldorf, Germany.
Christine QuastDepartment of Cardiology, Pulmonary Diseases and Vascular Medicine, Heinrich-Heine University, Düsseldorf, Germany.
Ayse Sedef CeylanDepartment of Cardiology, Pulmonary Diseases and Vascular Medicine, Heinrich-Heine University, Düsseldorf, Germany.
Kathrin KleinDepartment of Cardiology, Pulmonary Diseases and Vascular Medicine, Heinrich-Heine University, Düsseldorf, Germany.
Malte KelmDepartment of Cardiology, Pulmonary Diseases and Vascular Medicine, Heinrich-Heine University, Düsseldorf, Germany.
Francesca Dell'AgnelloBioCardioLab, Bioengineering Unit, Fondazione Monasterio, Massa, Italy.
Simona CeliBioCardioLab, Bioengineering Unit, Fondazione Monasterio, Massa, Italy.
Ulrich SteinseiferCardiovascular Engineering, Applied Medical Engineering, RWTH Aachen University, Forckenbeckstr. 55, 52074, Aachen, Germany.
Michael NeidlinCardiovascular Engineering, Applied Medical Engineering, RWTH Aachen University, Forckenbeckstr. 55, 52074, Aachen, Germany.

Funding

Deutsche Forschungsgemeinschaft CRC/TRR259Deutsche Forschungsgemeinschaft Grant No. 397484323
6 · The paper itself

Abstract

purposeRestoration of physiological aortic hemodynamics is a crucial therapeutic target after transcatheter aortic valve implantation (TAVI). However, quantifying this restoration is challenging, particularly using conventional markers. This study presents a novel, unsupervised approach based on proper orthogonal decomposition (POD), suitable for holistic characterization of patient-specific aortic flow field and their association with procedural outcome. MATERIAL AND

methodsPatients (n = 8) with severe aortic valve stenosis (AS) undergoing TAVI were studied. Three metrics were evaluated: patient-specific composite cardiovascular stress signature, pre-procedural free hemoglobin levels and degree of flow restoration. Flow restoration was quantified using POD-based similarity measures (Euclidean distances and Dynamic Time Warping), and compared with conventional hemodynamic markers, i.e. shear stresses, helicity and turbulence production. Unsupervised clustering was applied to explore agreement with biochemical patterns and clinical outcomes.

resultsPOD identified coherent flow structures and enabled quantification of restoration relative to healthy references. POD-based markers provided more clinically interpretable groupings than conventional measures in this cohort. Patients with low restoration exhibited more pathological composite cardiovascular stress signatures and adverse outcomes during short-term follow-up.

conclusionPOD-based flow analysis provides a holistic and interpretable quantification of post-TAVI aortic hemodynamics. In the given cohort, the method showed agreement with biochemical patterns and clinical outcomes, highlighting its potential to complement conventional hemodynamic and procedural assessment.

Indexed as

Aortic ValveAortic Valve StenosisHemodynamicsModels, CardiovascularPatient-Specific ModelingTranscatheter Aortic Valve ReplacementAgedAged, 80 and overBlood Flow VelocityClustering AlgorithmsDimensionality ReductionFemaleHumansMalePredictive Value of TestsRecovery of FunctionAortic flow restorationDimensionality reductionHemodynamicsProper orthogonal decomposition (POD)Transcatheter aortic valve implantation (TAVI)

Identifiers

PMID42135525
PMCPMC13442565

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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.