Evidence map›Paper›PMID 37103728›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

Towards transcervical ultrasound image guidance for transoral robotic surgery.

Wanwen Chen, Megha Kalia, Qi Zeng, Emily H T Pang, Razeyeh Bagherinasab, Thomas D Milner, Farahna Sabiq, Eitan Prisman, Septimiu E Salcudean

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. 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
1.0field-weighted citation impact, top 25% 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

9 authors at 3 institutions in 1 country.

Wanwen ChenDepartment of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada. wanwenc@ece.ubc.ca.ORCID http://orcid.org/0000-0001-5067-5223
Megha KaliaDepartment of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada.
Qi ZengDepartment of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada.
Emily H T PangDepartment of Radiology, Vancouver General Hospital, Vancouver, BC, Canada.
Razeyeh BagherinasabDepartment of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada.
Thomas D MilnerDivision of Otolaryngology, Department of Surgery, Vancouver General Hospital, Vancouver, BC, Canada.
Farahna SabiqDepartment of Radiology, Vancouver General Hospital, Vancouver, BC, Canada.
Eitan PrismanDivision of Otolaryngology, Department of Surgery, Vancouver General Hospital, Vancouver, BC, Canada.
Septimiu E SalcudeanDepartment of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada.
University of British Columbia · CAVancouver General Hospital · CAUniversity of British Columbia Hospital · CA

Funding

Natural Sciences and Engineering Research Council of Canada Discovery Grant
6 · The paper itself

Abstract

purposeTrans-oral robotic surgery (TORS) using the da Vinci surgical robot is a new minimally-invasive surgery method to treat oropharyngeal tumors, but it is a challenging operation. Augmented reality (AR) based on intra-operative ultrasound (US) has the potential to enhance the visualization of the anatomy and cancerous tumors to provide additional tools for decision-making in surgery.

methodsWe propose a US-guided AR system for TORS, with the transducer placed on the neck for a transcervical view. Firstly, we perform a novel MRI-to-transcervical 3D US registration study, comprising (i) preoperative MRI to preoperative US registration, and (ii) preoperative to intraoperative US registration to account for tissue deformation due to retraction. Secondly, we develop a US-robot calibration method with an optical tracker and demonstrate its use in an AR system that displays anatomy models in the surgeon's console in real-time.

resultsOur AR system achieves a projection error from the US to the stereo cameras of 27.14 and 26.03 pixels (image is 540[Formula: see text]960) in a water bath experiment. The average target registration error (TRE) for MRI to 3D US is 8.90 mm for the 3D US transducer and 5.85 mm for freehand 3D US, and the TRE for pre-intra operative US registration is 7.90 mm.

conclusionWe demonstrate the feasibility of each component of the first complete pipeline for MRI-US-robot-patient registration for a proof-of-concept transcervical US-guided AR system for TORS. Our results show that trans-cervical 3D US is a promising technique for TORS image guidance.

Indexed as

Augmented RealityRobotic Surgical ProceduresSurgery, Computer-AssistedHumansImaging, Three-DimensionalUltrasonicsUltrasonography3D ultrasoundMRI–US registrationSurgical augmented realityTransoral robotic surgeryUS–US registration

Identifiers

PMID37103728
OpenAlexW4367173865

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.