Evidence map›Paper›PMID 32225097›Full record

ArticleDiagnostics (Basel, Switzerland)2020

A Finite Element Analysis Study from 3D CT to Predict Transcatheter Heart Valve Thrombosis.

Francesco Nappi, Laura Mazzocchi, Irina Timofeva, Laurent Macron, Simone Morganti, Sanjeet Singh Avtaar Singh, David Attias, Antonio Congedo, Ferdinando Auricchio

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
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  7. Article
  8. Article
  9. Biomechanics of Transcatheter Aortic Valve Implant.Bioengineering (Basel, Switzerland) · 2022
    Review
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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

9 authors at 3 institutions in 3 countries.

Francesco NappiDepartment of Cardiac Surgery, Centre Cardiologique du Nord de Saint-Denis, 93200 Paris, France.
Laura MazzocchiDepartment of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy.
Irina TimofevaDepartment of Imaging, Centre Cardiologique du Nord de Saint-Denis, 93200 Paris, France.
Laurent MacronDepartment of Imaging, Centre Cardiologique du Nord de Saint-Denis, 93200 Paris, France.
Simone MorgantiDepartment of Electrical, Computer, and Biomedical Engineering University of Pavia, 27100 Pavia, Italy.
Sanjeet Singh Avtaar SinghDepartment of Cardiac Surgery, Golden Jubilee National Hospital, G81 4DY Glasgow, UK.
David AttiasDepartment of Cardiology, Centre Cardiologique du Nord de Saint-Denis, 93200 Paris, France.
Antonio CongedoDepartment of Electronic Engineering, AKTIVE Reeds Manufacturing, Computer Science, 80123 Naples, Italy.
Ferdinando AuricchioDepartment of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy.
Centre Cardiologique du Nord · FRUniversity of Pavia · ITGolden Jubilee National Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTranscatheter aortic valve replacement has proved its safety and effectiveness in intermediate- to high-risk and inoperable patients with severe aortic stenosis. However, despite current guideline recommendations, the use of transcatheter aortic valve replacement (TAVR) to treat severe aortic valve stenosis caused by degenerative leaflet thickening and calcification has not been widely adopted in low-risk patients. This reluctance among both cardiac surgeons and cardiologists could be due to concerns regarding clinical and subclinical valve thrombosis. Stent performance alongside increased aortic root and leaflet stresses in surgical bioprostheses has been correlated with complications such as thrombosis, migration and structural valve degeneration. MATERIALS AND

methodsSelf-expandable catheter-based aortic valve replacement (Medtronic, Minneapolis, MN, USA), which was received by patients who developed transcatheter heart valve thrombosis, was investigated using high-resolution biomodelling from computed tomography scanning. Calcific blocks were extracted from a 250 CT multi-slice image for precise three-dimensional geometry image reconstruction of the root and leaflets.

resultsDistortion of the stent was observed with incomplete cranial and caudal expansion of the device. The incomplete deployment of the stent was evident in the presence of uncrushed refractory bulky calcifications. This resulted in incomplete alignment of the device within the aortic root and potential dislodgment.

conclusionA Finite Element Analysis (FEA) investigation can anticipate the presence of calcified refractory blocks, the deformation of the prosthetic stent and the development of paravalvular orifice, and it may prevent subclinical and clinical TAVR thrombosis. Here we clearly demonstrate that using exact geometry from high-resolution CT scans in association with FEA allows detection of persistent bulky calcifications that may contribute to thrombus formation after TAVR procedure.

Indexed as

imagethrombosistranscatheter implantationvalve replacement

Identifiers

PMID32225097
PMCPMC7235717
OpenAlexW3014047921

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.