Evidence map›Paper›PMID 35089486›Full record

ArticleInternational journal of computer assisted radiology and surgery2022

Automated objective surgical planning for lateral skull base tumors.

A E Rajesh, J T Rubinstein, M Ferreira, A P Patel, R A Bly, G D Kohlberg

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

6 authors at 1 institution in 1 country.

A E RajeshUniversity of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-1120-2869
J T RubinsteinDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, WA, USA.
M FerreiraDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
A P PatelDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
R A BlyDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, WA, USA. Randall.bly@seattlechildrens.org.
G D KohlbergDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, WA, USA. kohlberg@uw.edu.
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSurgical removal of pathology at the lateral skull base is challenging because of the proximity of critical anatomical structures which can lead to significant morbidity when damaged or traversed. Pre-operative computed surgical approach planning has the potential to aid in selection of the optimal approach to remove pathology and minimize complications.

methodsWe propose an automated surgical approach planning algorithm to derive the optimal approach to vestibular schwannomas in the internal auditory canal for hearing preservation surgery. The algorithm selects between the middle cranial fossa and retrosigmoid approach by utilizing a unique segmentation of each patient's anatomy and a cost function to minimize potential surgical morbidity.

resultsPatients who underwent hearing preservation surgery for vestibular schwannoma resection (n = 9) were included in the cohort. Middle cranial fossa surgery was performed in 5 patients, and retrosigmoid surgery was performed in 4. The algorithm favored the performed surgical approach in 6 of 9 patients.

conclusionWe developed a method for computing morbidity costs of surgical paths to objectively analyze surgical approaches at the lateral skull base. Computed pre-operative planning may assist in surgical decision making, trainee education, and improving clinical outcomes.

Indexed as

Ear, InnerNeuroma, AcousticSkull Base NeoplasmsHumansPostoperative ComplicationsRetrospective StudiesSkull BaseApproachPlanningPreoperativeSkull baseSurgeryTemporal bone

Identifiers

PMID35089486
OpenAlexW4210592476

What OpenQuestion holds

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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.