Evidence map›Paper›PMID 40062220›Full record

ArticleJournal of surgical case reports2025

Utilities of 3D technology for planning endoscopic endonasal approaches. Case series of anatomical-imaging review.

Daniel Alejandro Vega-Moreno, Gervith Reyes-Soto, Monica Serrano-Murillo, Ulises García González, Oscar Medina-Carrillo

Abstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2025. 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

5 authors.

Daniel Alejandro Vega-MorenoNeuro-oncology Unit, Instituto Nacional de Cancerología, Avenida San Fernando 22, Belisario Domínguez Sección 16, Tlalpan 14090, Ciudad de México, México.
Gervith Reyes-SotoNeuro-oncology Unit, Instituto Nacional de Cancerología, Avenida San Fernando 22, Belisario Domínguez Sección 16, Tlalpan 14090, Ciudad de México, México.
Monica Serrano-MurilloNeuro-oncology Unit, Instituto Nacional de Cancerología, Avenida San Fernando 22, Belisario Domínguez Sección 16, Tlalpan 14090, Ciudad de México, México.
Ulises García GonzálezNeurosurgery Department, Hospital Central Sur de Alta Especialidad, PEMEX. Anillo Perif. 4091, Fuentes del Pedregal, Tlalpan, 14140 Ciudad de México, Mexico.
Oscar Medina-CarrilloNeurosurgery Department, Hospital Central Sur de Alta Especialidad, PEMEX. Anillo Perif. 4091, Fuentes del Pedregal, Tlalpan, 14140 Ciudad de México, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endoscopic endonasal surgery requires specific training and essential anatomical and technical knowledge. The support of 3D technologies favors the development of this knowledge. We exemplify the use of this 3D reconstruction tool through four clinical cases of sellar tumors. Imaging analysis was performed on four patients diagnosed with sellar tumors who underwent resection surgeries using endoscopic endonasal approaches with the support of 3D reconstructions. Four sellar tumors and their related anatomical structures were reconstructed using manual planimetric segmentation to modify the pre- and trans-surgical decision. Although 3D reconstruction images are not new, the imaging studies with which we can make these reconstructions have been improving and with which to improve anatomical and surgical understanding in endoscopic transnasal surgery. This work exemplifies the usefulness of 3D technology in planning endoscopic endonasal surgeries for the different tumor pathologies of the sellar region.

Indexed as

3D planning surgeryendoscopic endonasalsellar tumorskull base surgery

Identifiers

PMID40062220
PMCPMC11890285

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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.