Evidence map›Paper›PMID 39720764›Full record

ArticleHealthcare technology letters2024

Virtual reality-based preoperative planning for optimized trocar placement in thoracic surgery: A preliminary study.

Arash Harirpoush, George Rakovich, Marta Kersten-Oertel, Yiming Xiao

Abstract read
In one paragraph

Article in Healthcare technology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Arash HarirpoushDepartment of Computer Science and Software Engineering Concordia University Quebec Canada.ORCID https://orcid.org/0009-0003-2694-8561
George RakovichMaisonneuve Rosemont Hospital University of Montreal Quebec Canada.
Marta Kersten-OertelDepartment of Computer Science and Software Engineering Concordia University Quebec Canada.
Yiming XiaoDepartment of Computer Science and Software Engineering Concordia University Quebec Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Video-assisted thoracic surgery (VATS) is a minimally invasive approach for treating early-stage non-small-cell lung cancer. Optimal trocar placement during VATS ensures comprehensive access to the thoracic cavity, provides a panoramic endoscopic view, and prevents instrument crowding. While established principles such as the Baseball Diamond Principle (BDP) and Triangle Target Principle (TTP) exist, surgeons mainly rely on experience and patient-specific anatomy for trocar placement, potentially leading to sub-optimal surgical plans that increase operative time and fatigue. To address this, the authors present the first virtual reality (VR)-based pre-operative planning tool with tailored data visualization and interaction designs for efficient and optimal VATS trocar placement, following the established surgical principles and consultation with an experienced surgeon. In the preliminary study, the system's application in right upper lung lobectomy is demonstrated, a common thoracic procedure typically using three trocars. A preliminary user study of the system indicates it is efficient, robust, and user-friendly for planning optimal trocar placement, with a great promise for clinical application while offering potentially valuable insights for the development of other surgical VR systems.

Indexed as

lungsurgeryvirtual reality

Identifiers

PMID39720764
PMCPMC11665775

What OpenQuestion holds

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Registered trials

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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.