Evidence map›Paper›PMID 36762064›Full record

ArticleTranslational lung cancer research2023

A new preoperative localization of pulmonary nodules guided by mixed reality: a pilot study of an animal model.

Ning Xin, Xiaoyu Wu, Zihao Chen, Rongqiang Wei, Yuichi Saito, Samy Lachkar, Alberto Salvicchi, Satoshi Fumimoto, Gabrielle Drevet, Zhifei Xu and 2 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. [Advancements in Research on Preoperative Localization of Pulmonary Nodules].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
  4. 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

12 authors.

Ning Xin *Department of Thoracic Surgery, PLA 960th Hospital, Jinan, China.
Xiaoyu Wu *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Zihao Chen *Department of Thoracic Surgery, Shanghai Changzheng Hospital, Navy Military Medical University, Shanghai, China.
Rongqiang WeiDepartment of Thoracic Surgery, Shanghai Changzheng Hospital, Navy Military Medical University, Shanghai, China.
Yuichi SaitoDepartment of Surgery, Teikyo University School of Medicine, Tokyo, Japan.
Samy LachkarDepartment of Pulmonology, Thoracic Oncology and Respiratory Intensive Care, Hôpital Charles Nicolle, CHU de Rouen, Rouen Cedex, France.
Alberto SalvicchiThoracic Surgery Unit, Careggi University Hospital, Florence, Italy.
Satoshi FumimotoDepartment of Thoracic and Cardiovascular Surgery, Osaka Medical and Pharmaceutical University, Osaka, Japan.
Gabrielle DrevetDepartment of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France.
Zhifei XuDepartment of Thoracic Surgery, Shanghai Changzheng Hospital, Navy Military Medical University, Shanghai, China.
Kenan HuangDepartment of Thoracic Surgery, Shanghai Changzheng Hospital, Navy Military Medical University, Shanghai, China.
Hua TangDepartment of Thoracic Surgery, Shanghai Changzheng Hospital, Navy Military Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the popularity of high-resolution computed tomography (HRCT), more and more pulmonary nodules are being discovered. Video-assisted thoracoscopic surgery (VATS) has become the first choice for surgical treatment of pulmonary nodules. The use of accurate preoperative localization is crucial for successful resection in VATS. At present, there are many kinds of preoperative localization methods, but there are certain disadvantages. This study aimed to evaluate the feasibility and safety of mixed reality (MR)-guided pulmonary nodules localization, which is a new method that can benefit patients to a greater extent. Methods: By constructing an animal model of pulmonary nodules localization, 28 cases of pulmonary nodules were located by MR-guided localization. We recorded the localization accuracy, localization time, insertion attempts, and incidence of complications related to localization under MR-guidance. Results: All 28 nodules were successfully located: the deviation of MR-guided localization was 5.71±2.59 mm, localization time was 8.07±1.44 min, and insertion attempts was 1. A pneumothorax and localizer dislodgement occurred in 1 case, respectively. Conclusions: Since preoperative localization is critical for VATS resection of pulmonary nodules, we investigated a new localization method. As indicated by our study, MR-guided localization of pulmonary nodules is feasible and safe, which is worthy of further research and promotion. We have also registered corresponding clinical trials to further investigate and help to improve our understanding of this technique.

Indexed as

localizationMixed reality (MR)pilot studypulmonary nodules

Identifiers

PMID36762064
PMCPMC9903086

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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.