Evidence map›Paper›PMID 34354337›Full record

ArticleJSLS : Journal of the Society of Laparoendoscopic Surgeons

Application of Three-Dimensional Virtual Reality Models to Improve the Pre-Surgical Plan for Robotic Partial Nephrectomy.

Michael McDonald, Joseph D Shirk

Open access · hybridAbstract read
In one paragraph

Article in JSLS : Journal of the Society of Laparoendoscopic Surgeons. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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

2 authors at 2 institutions in 1 country.

Michael McDonaldDepartment of Surgery, University of Central Florida, 400 Celebration Pl, Celebration, FL.
Joseph D ShirkUCLA Department of Urology, David Geffen School of Medicine at UCLA, 300 Stein Plaza, 3rd Floor, Los Angeles, CA.
AdventHealth Celebration · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesMinimally invasive surgery for renal masses is complex and relies on two-dimensional (2D) computer tomography (CT) and magnetic resonance imaging (MRI) scans for surgical planning. We sought to determine if three-dimensional (3D) virtual reality (VR) models generated from imaging of patients undergoing robotic partial nephrectomy influenced presurgical planning approaches when compared to routine planning.

methodsThe initial 15 patients underwent robotic assisted laparoscopic partial nephrectomy performed by one urologic surgeon. All patients pre-operatively underwent a CT and/or MRI scan. A pre-operative surgical plan was then recorded. 3D VR models were generated from these scans and reviewed. A second surgical plan was developed based on the 3D VR images. A comparison was made between the two studies prior to surgical intervention. All final surgical plans were implemented based on the 3D VR imaging studies.

resultsSix surgical approaches were changed based on the 3D VR images. Two surgical approaches were changed from a transperitoneal to a retroperitoneal approach and two from a retroperitoneal to a transperitoneal approach. Two patients had distinctive renal vasculature related to the renal cancers which were not appreciated on routine scans but were well delineated by VR imaging studies. As a result, the surgical approach for two patients was altered to accommodate the new findings.

conclusionOperative planning is paramount when performing robotic partial nephrectomy and developing a 3D surgical approach from 2D imaging can be difficult. Three-dimensional VR models affords the surgeon a 3D view prior to and during surgery and can ensure the selection of the appropriate surgical approach.

Indexed as

Kidney NeoplasmsRobotic Surgical ProceduresVirtual RealityFemaleHumansImaging, Three-DimensionalMaleNephrectomyCarcinomaRenal cellRoboticSurgical planningSurgical proceduresVirtual reality

Identifiers

PMID34354337
PMCPMC8325483
OpenAlexW3191676358

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.