Evidence map›Paper›PMID 39160330›Full record

ArticleCardiovascular engineering and technology2024

Computer Aided Intracranial Aneurysm Treatment Based on 2D/3D Mapping, Virtual Deployment and Online Distal Marker Detection.

Nicolas Dazeo, José Ignacio Orlando, Camila García, Romina Muñoz, Laura Obrado, Hector Fernandez, Jordi Blasco, Luis San Román, Juan M Macho, Andreas Ding and 2 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Cardiovascular engineering and technology, 2024. 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

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

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

12 authors.

Nicolas DazeoYatiris Research Group, PLADEMA Institute, CONICET-UNICEN, Campus Universitario, Tandil, Argentina. ndazeo@pladema.exa.unicen.edu.ar.ORCID 0000-0002-0563-6732
José Ignacio OrlandoYatiris Research Group, PLADEMA Institute, CONICET-UNICEN, Campus Universitario, Tandil, Argentina.
Camila GarcíaYatiris Research Group, PLADEMA Institute, CONICET-UNICEN, Campus Universitario, Tandil, Argentina.
Romina MuñozYatiris Research Group, PLADEMA Institute, CONICET-UNICEN, Campus Universitario, Tandil, Argentina.
Laura ObradoMentice S. L., Barcelona, Spain.
Hector FernandezMentice S. L., Barcelona, Spain.
Jordi BlascoDepartment of Neuroradiology, Hospital Clinic, Barcelona, Spain.
Luis San RománDepartment of Neuroradiology, Hospital Clinic, Barcelona, Spain.
Juan M MachoDepartment of Neuroradiology, Hospital Clinic, Barcelona, Spain.
Andreas DingAcandis, GmbH, Pforzheim, Germany.
Raphael UtzAcandis, GmbH, Pforzheim, Germany.
Ignacio LarrabideYatiris Research Group, PLADEMA Institute, CONICET-UNICEN, Campus Universitario, Tandil, Argentina.

Funding

Eurostars Project E!114276 ANKloud
6 · The paper itself

Abstract

purposeTo introduce a computational tool for peri-interventional intracranial aneurysm treatment guidance that maps preoperative planning information from simulation onto real-time X-Ray imaging.

methodsPreoperatively, multiple flow diverter (FD) devices are simulated based on the 3D mesh of the vessel to treat, to choose the optimal size and location. In the peri-operative stage, this 3D information is aligned and mapped to the continuous 2D-X-Ray scan feed from the operating room. The current flow diverter position in the 3D model is estimated by automatically detecting the distal FD marker locations and mapping them to the treated vessel. This allows to visually assess the possible outcome of releasing the device at the current position, and compare it with the one chosen pre-operatively.

resultsThe full pipeline was validated using retrospectively collected biplane images from four different patients (5 3D-DSA datasets in total). The distal FD marker detector obtained an average F1-score of 0.67 (

conclusionsThe proposed method allows to support the FD deployment procedure by merging and presenting preoperative simulation information to the interventionists, aiding them to make more accurate and less risky decisions.

Indexed as

Cerebral AngiographyEndovascular ProceduresImaging, Three-DimensionalIntracranial AneurysmPatient-Specific ModelingRadiographic Image Interpretation, Computer-AssistedAngiography, Digital SubtractionHumansModels, CardiovascularPredictive Value of TestsProsthesis DesignReproducibility of ResultsRetrospective StudiesStentsTreatment Outcome2D-X-ray3D-DSAAlignmentCerebral aneurysmReal timeTreatment guidance

Identifiers

PMID39160330

What OpenQuestion holds

Textmetadata
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.