Evidence map›Paper›PMID 38789882›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Enabling extracorporeal ultrasound imaging with the da Vinci robot for transoral robotic surgery: a feasibility study.

Randy Moore, Ryan Yeung, Wanwen Chen, Qi Zeng, Eitan Prisman, Septimiu Salcudean

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. 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
–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

1 citing paper in PubMed.

  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.

Randy MooreDepartment of Electrical and Computer Engineering, The University of British Columbia, 5500-2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada. rwjmoore@ece.ubc.ca.ORCID http://orcid.org/0000-0003-3866-5246
Ryan YeungSchool of Biomedical Engineering, The University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada.
Wanwen ChenDepartment of Electrical and Computer Engineering, The University of British Columbia, 5500-2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
Qi ZengDepartment of Electrical and Computer Engineering, The University of British Columbia, 5500-2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
Eitan PrismanDepartment of Otolaryngology, Vancouver General Hospital, 2775 Laurel Street, Vancouver, BC, V5Z 1M9, Canada.
Septimiu SalcudeanDepartment of Electrical and Computer Engineering, The University of British Columbia, 5500-2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTransoral robotic surgery (TORS) is a challenging procedure due to its small workspace and complex anatomy. Ultrasound (US) image guidance has the potential to improve surgical outcomes, but an appropriate method for US probe manipulation has not been defined. This study evaluates using an additional robotic (4th) arm on the da Vinci Surgical System to perform extracorporeal US scanning for image guidance in TORS.

methodsA stereoscopic imaging system and da Vinci-compatible US probe attachment were developed to enable control of the extracorporeal US probe from the surgeon console. The prototype was compared to freehand US by nine operators in three tasks on a healthy volunteer: (1) identification of the common carotid artery, (2) carotid artery scanning, and (3) identification of the submandibular gland. Operator workload and user experience were evaluated using a questionnaire.

resultsThe robotic US tasks took longer than freehand US tasks (2.09x longer;

conclusionExtracorporeal US scanning for intraoperative US image guidance is a convenient approach for providing the surgeon direct control over the US image plane during TORS, with little modification to the existing operating room workflow. Although more time-consuming and higher operator workload, several methods have been identified to address these limitations.

Indexed as

Feasibility StudiesRobotic Surgical ProceduresEquipment DesignHumansSubmandibular GlandSurgery, Computer-AssistedUltrasonography, Interventional3D UltrasoundImage guidanceMRI-US registrationTransoral robotic surgery

Identifiers

PMID38789882

What OpenQuestion holds

Textmetadata
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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.