Evidence map›Paper›PMID 41710967›Full record

ArticleInnovations (Philadelphia, Pa.)

Integrating Video and Objective Performance Data: Development of VORTEX-SPV for Assessing Robotic Lobectomy Skills.

Alyssa D Murillo, Riley Brian, Camilla Gomes, Laleh Foroutani, Amir Ashraf Ganjouei, Hueylan Chern, Patricia S O'Sullivan, Daniel S Oh

Abstract read
In one paragraph

Article in Innovations (Philadelphia, Pa.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

8 authors.

Alyssa D MurilloDepartment of Surgery, University of California San Francisco (UCSF), CA, USA.ORCID 0009-0005-3928-819X
Riley BrianDepartment of Surgery, University of California San Francisco (UCSF), CA, USA.ORCID 0000-0002-7462-3214
Camilla GomesDepartment of Surgery, University of California San Francisco (UCSF), CA, USA.ORCID 0000-0003-2348-010X
Laleh ForoutaniDepartment of Surgery, University of California San Francisco (UCSF), CA, USA.ORCID 0000-0002-2818-8477
Amir Ashraf GanjoueiDepartment of Surgery, University of California San Francisco (UCSF), CA, USA.
Hueylan ChernDepartment of Surgery, University of California San Francisco (UCSF), CA, USA.
Patricia S O'SullivanDepartment of Surgery, University of California San Francisco (UCSF), CA, USA.
Daniel S OhDepartment of Surgery, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-2843-8077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSurgical education requires assessment tools as part of competency-based education (CBE). In robotic surgery, objective performance indicators (OPIs) are a novel objective method of measuring surgeon performance. We developed

methodsCT fellows performed robotic lobectomy on an ex vivo perfused porcine model. Synchronized video and kinematic data were captured. Seven thoracic surgery attendings completed the robotic lobectomy to provide expert-level OPI data. VORTEX-SPV is a 12-item assessment with 4 performance levels including completion, safety, economy of motion, and optimized performance. We scored video-based review items (items 1 to 6) as 0 or 1 with an inter-rater agreement of 91%. We calculated OPIs from 6 categories (e.g., wrist articulation, instrument movement, energy, smoothness, clutching, instrument time) as within (1) or beyond (0) 2 standard deviations of the expert mean. We used Rasch modeling and item response theory to evaluate reliability and validity.

resultsWe assessed 2 cohorts of CT fellows (2019,

conclusionsVORTEX-SPV combines video review and objective performance data with strong reliability and validity evidence, serving as a robotic surgery assessment framework to facilitate CBE.

Indexed as

Clinical CompetencePneumonectomyPulmonary VeinsRobotic Surgical ProceduresAnimalsCompetency-Based EducationHumansReproducibility of ResultsSwineVideo Recordingassessmentcompetency-based educationobjective performance indicatorsresident and fellow assessmentrobotic surgeryrobotic surgery education

Identifiers

PMID41710967
PMCPMC13049217

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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.