Evidence map›Paper›PMID 41971884›Full record

ArticleJTCVS techniques2026

Robotic-assisted bronchoscopy in dye localization in thoracoscopic pulmonary nodule resection: An initial experience.

Xinyi Wang, Jiajun Ma, Wenbo She, Fang Chen, Hongen Liao, Dingpei Han, Hecheng Li

Abstract read
In one paragraph

Article in JTCVS techniques, 2026. 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. Review
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.

Xinyi WangDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiajun MaSchool of Biomedical Engineering, Tsinghua University, Shanghai, China.
Wenbo SheSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Fang ChenSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Hongen LiaoSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Dingpei HanDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hecheng LiDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to present the initial clinical experience and evaluate the feasibility and safety of an artificial intelligence agent-based robotic-assisted bronchoscopy system for preoperative dye localization of pulmonary nodules before video-assisted thoracoscopic surgery. Methods: This single-center, retrospective study analyzed 15 patients with peripheral pulmonary nodules who underwent preoperative dye localization using the artificial intelligence agent-based robotic-assisted bronchoscopy system (Polaris, LungHealth MedTech Company). Procedural efficacy was assessed by navigation success rate, localization time, and resection success rate. Safety was evaluated based on the incidence of complications. Results: All 15 nodules (mean diameter: 1.03 ± 0.28 cm) were successfully navigated (100% navigation success). Dye localization was successful in 14 cases (93.3%), with 1 nodule resected anatomically. The median localization time was 10.0 minutes (interquartile range, 7.0-12.5). All nodules were completely resected with negative margins. No procedural complications, such as pneumothorax or hemorrhage, occurred. Conclusions: The artificial intelligence agent-based robotic-assisted bronchoscopy-assisted dye localization technique demonstrates high precision and safety for guiding video-assisted thoracoscopic surgery resection of peripheral pulmonary nodules. These promising results support its potential as a viable alternative to existing localization methods and warrant further validation in larger randomized trials to establish its clinical value.

Indexed as

dye localizationpulmonary nodulesrobotic-assisted bronchoscopyvideo-assisted thoracoscopic surgery

Identifiers

PMID41971884
PMCPMC13069519

What OpenQuestion holds

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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.