Evidence map›Paper›PMID 36719561›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

Automated image fusion during endovascular aneurysm repair: a feasibility and accuracy study.

Stefan P M Smorenburg, Rutger J Lely, Iris Smit-Ockeloen, Kak Khee Yeung, Arjan W J Hoksbergen

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  4. Review
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

5 authors at 2 institutions in 1 country.

Stefan P M SmorenburgDepartment of Surgery, Amsterdam University Medical Centers, Vrije Universiteit, Room J1A-222, Postbox 22660, 1100 DD, Amsterdam, The Netherlands. s.smorenburg@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-4754-3016
Rutger J LelyDepartment of Radiology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands.
Iris Smit-OckeloenDepartment of Image Guided Therapy, Philips, Best, The Netherlands.
Kak Khee YeungDepartment of Surgery, Amsterdam University Medical Centers, Vrije Universiteit, Room J1A-222, Postbox 22660, 1100 DD, Amsterdam, The Netherlands.
Arjan W J HoksbergenDepartment of Surgery, Amsterdam University Medical Centers, Vrije Universiteit, Room J1A-222, Postbox 22660, 1100 DD, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLPhilips (Netherlands) · NL

Funding

Philips In kind (provision of software).
6 · The paper itself

Abstract

purposeImage fusion merges preoperative computed tomography angiography (CTA) with live fluoroscopy during endovascular procedures to function as an overlay 3D roadmap. However, in most current systems, the registration between imaging modalities is performed manually by vertebral column matching which can be subjective, inaccurate and time consuming depending on experience. Our objective was to evaluate feasibility and accuracy of image-based automated 2D-3D image fusion between preoperative CTA and intraoperative fluoroscopy based on vertebral column matching.

methodsA single-center study with offline procedure data was conducted in 10 consecutive patients which had endovascular aortic repair in which we evaluated unreleased automated fusion software provided by Philips (Best, the Netherlands). Fluoroscopy and digital subtraction angiography images were collected after the procedures and the vertebral column was fused fully automatically. Primary endpoints were feasibility and accuracy of bone alignment (mm). Secondary endpoint was vascular alignment (mm) between the lowest renal artery orifices. Clinical non-inferiority was defined at a mismatch of < 1 mm.

resultsIn total, 87 automated measurements and 40 manual measurements were performed on vertebrae T12-L5 in all 10 patients. Manual correction was needed in 3 of the 10 patients due to incomplete visibility of the vertebral edges in the fluoroscopy image. Median difference between automated fusion and manual fusion was 0.1 mm for bone alignment (p = 0.94). The vascular alignment was 4.9 mm (0.7-17.5 mm) for manual and 5.5 mm (1.0-14.0 mm) for automated fusion. This did not improve, due to the presence of stiff wires and stent graft.

conclusionAutomated image fusion was feasible when all vertebral edges were visible. Accuracy was non-inferior to manual image fusion regarding bone alignment. Future developments should focus on intraoperative image-based correction of vascular alignment.

Indexed as

Aortic Aneurysm, AbdominalBlood Vessel Prosthesis ImplantationEndovascular ProceduresCone-Beam Computed TomographyEndovascular Aneurysm RepairFeasibility StudiesFluoroscopyHumansImaging, Three-DimensionalTreatment Outcome2D-3D3D roadmapAutomatedEVARFusion imagingImage fusionNavigationOverlay

Identifiers

PMID36719561
PMCPMC10363050
OpenAlexW4318667674

What OpenQuestion holds

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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.