Evidence map›Paper›PMID 39412539›Full record

ArticleSurgery today2025

Virtual thoracoscopic imaging for accurate pulmonary nodule localization: clinical experience.

Yuka Kadomatsu, Megumi Nakao, Shoji Okado, Harushi Ueno, Taketo Kato, Shota Nakamura, Toyofumi Fengshi Chen-Yoshikawa

Abstract read
In one paragraph

Article in Surgery today, 2025. 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. The era of autonomous surgical robotics in thoracic surgery: is it coming?International journal of surgery (London, England) · 2026
    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

7 authors.

Yuka KadomatsuDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan. ykadomatsu@med.nagoya-u.ac.jp.
Megumi NakaoGraduate School of Medicine, Human Health Sciences, Kyoto University, Kyoto, Japan.
Shoji OkadoDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
Harushi UenoDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
Taketo KatoDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
Shota NakamuraDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
Toyofumi Fengshi Chen-YoshikawaDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.

Funding

Japan Society for the Promotion of Science Grant Number 22K16565JFE (The Japanese Foundation for Research and Promotion of Endoscopy) Grant No Grant Number
6 · The paper itself

Abstract

The increasing detection of small pulmonary nodules on computed tomography (CT) warrants simple and effective nodule localization methods. We describe our clinical experience using an experimental computer that displays virtual thoracoscopic images. This device constructs three-dimensional images from preoperative CT scans and simulates the deflated lung parenchyma in the lateral decubitus position. Five patients underwent lung resection using this technology. The device provided images that closely resembled actual thoracoscopic images in all cases. This method addresses the limitations of other localization techniques such as allergic reactions and mechanical marker-related complications. The method only requires preoperative CT images, and the process is semi-automatically performed by specifying the nodule location, thoracoscopic camera insertion site, and camera angle. This study is still in the preliminary phase and has several limitations. However, this method has the potential to accurately predict nodule locations and eliminate the many risks associated with other techniques.

Indexed as

Imaging, Three-DimensionalLung NeoplasmsSolitary Pulmonary NoduleThoracoscopyTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedComputed tomographyPulmonary noduleVideo-assisted thoracoscopic surgery

Identifiers

PMID39412539
PMCPMC12098418

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.