Evidence map›Paper›PMID 35992880›Full record

ArticleFrontiers in oncology2022

Development of 3-dimensional printed simulation surgical training models for endoscopic endonasal and transorbital surgery.

Won-Jae Lee, Yong Hwy Kim, Sang-Duk Hong, Tae-Hoon Rho, Young Hoon Kim, Yun-Sik Dho, Chang-Ki Hong, Doo-Sik Kong

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

8 authors.

Won-Jae LeeDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Yong Hwy KimDepartment of Neurosurgery, Seoul National University Hospital, Seoul National University School of Medicine, Seoul, South Korea.
Sang-Duk HongDepartment of Otorhinolaryngology-Head & Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Tae-Hoon RhoDepartment of Neurosurgery, Ajou University Hospital, Ajou University School of Medicine, Suwon, South Korea.
Young Hoon KimDepartment of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Yun-Sik DhoDepartment of Neurosurgery, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, South Korea.
Chang-Ki HongDepartment of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Doo-Sik KongDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endoscopic skull base surgery (ESBS) is complex, requiring methodical and unremitting surgical training. Herein, we describe the development and evaluation of a novel three-dimensional (3D) printed simulation model for ESBS. We further validate the efficacy of this model as educational support in neurosurgical training. Methods: A patient-specific 3D printed simulation model using living human imaging data was established and evaluated in a task-based hands-on dissection program. Endoscopic endonasal and transorbital procedures were simulated on the model by neurosurgeons and otorhinolaryngology surgeons of varying experience. All procedures were recorded using a high-definition camera coupled with digital video recorder system. The participants were asked to complete a post-procedure questionnaire to validate the efficacy of the model. Results: Fourteen experts and 22 trainees participated in simulations, and the 32 participants completed the post-procedure survey. The anatomical realism was scored as 4.0/5.0. The participants rated the model as helpful in hand-eye coordination training (4.7/5.0) and improving surgical skills (4.6/5.0) for ESBS. All participants believed that the model was useful as educational support for trainees (4.7 [ ± 0.5]). However, the color (3.6/5.0) and soft tissue feedback parameters (2.8/5) scored low. Conclusion: This study shows that high-resolution 3D printed skull base models for ESBS can be generated with high anatomical accuracy and acceptable haptic feedback. The simulation program of ESBS using this model may be supplemental or provide an alternative training platform to cadaveric dissection.

Indexed as

3-dimensional printed simulationendoscopic endonasal approachendoscopic skull base surgeryendoscopic transorbital approachsurgical simulation

Identifiers

PMID35992880
PMCPMC9389537

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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.