Evidence map›Paper›PMID 36600616›Full record

ArticleJournal of cerebrovascular and endovascular neurosurgery2023

Roadmapping technique in the hybrid operating room for the microsurgical treatment of complex intracranial aneurysms.

Juan Luis Gómez-Amador, Cristopher G Valencia-Ramos, Marcos Vinicius Sangrador-Deitos, Aldo Eguiluz-Melendez, Gerardo Y Guinto-Nishimura, Alan Hernández-Hernández, Samuel Romano-Feinholz, Luis Alberto Ortega-Porcayo, Sebastián Velasco-Torres, Jose J Martínez-Manrique and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of cerebrovascular and endovascular neurosurgery, 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
1.0field-weighted citation impact, top 24% 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, 5 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Juan Luis Gómez-AmadorDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Cristopher G Valencia-RamosDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Marcos Vinicius Sangrador-DeitosDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Aldo Eguiluz-MelendezDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Gerardo Y Guinto-NishimuraDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Alan Hernández-HernándezDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Samuel Romano-FeinholzDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Luis Alberto Ortega-PorcayoDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Sebastián Velasco-TorresDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Jose J Martínez-ManriqueDepartment of Neurosurgery, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Juan Jose Ramírez-AndradeDepartment of Neurologcial Endovascular Therapy, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Marco Zenteno-CastellanosDepartment of Neurologcial Endovascular Therapy, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico.
Instituto Nacional de Neurología y Neurocirugía · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the roadmapping technique and our three-year experience in the management of intracranial aneurysms in the hybrid operating room.

methodsWe analyzed all patients who underwent surgical clipping for cerebral aneurysms with the roadmapping technique from January 2017 to September 2019. We report demographic, clinical, and morphological variables, as well as clinical and radiological outcomes. We further describe three illustrative cases of the technique.

resultsA total of 13 patients were included, 9 of which (69.2%) presented with subarachnoid hemorrhage, with a total of 23 treated aneurysms. All patients were female, with a mean age of 47.7 years (range 31-63). All cases were anterior circulation aneurysms, the most frequent location being the ophthalmic segment of the internal carotid artery (ICA) in 11 cases (48%), followed by posterior communicating in 8 (36%), and ICA bifurcation in 2 (8%). Intraoperative clip repositioning was required in 9 aneurysms (36%) as a result of the roadmapping technique in the hybrid operating room. There were no residual aneurysms in our series, nor reported mortality.

conclusionsThe roadmapping technique in the hybrid operating room offers a complementary tool for the adequate occlusion of complex intracranial aneurysms, as it provides a real time fluoroscopic-guided clipping technique, and clip repositioning is possible in a single surgical stage, whenever a residual portion of the aneurysm is identified. This technique also provides some advantages, such as immediate vasospasm identification and treatment with intra-arterial vasodilators, balloon proximal control for certain paraclinoid aneurysms, and simultaneous endovascular treatment in selected cases during a single stage.

Indexed as

AneurysmAngiographyComplexHybrid operating roomMicrosurgeryRoadmapping

Identifiers

PMID36600616
PMCPMC10073771
OpenAlexW4313544646

What OpenQuestion holds

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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.