Evidence map›Paper›PMID 39144352›Full record

ArticleJournal of thoracic disease2024

Robotic-assisted CT-guided percutaneous pulmonary nodules localization by hook-wire needles: a retrospective observational study.

Haoming Guo, Zubin Ouyang, Xinghua Li, Yongliang Han, Fengming Tao, Mengqi Liu, Runtian Cheng, Xiaoya Chen, Fajin Lv, Haitao Yang

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. [Advancements in Research on Preoperative Localization of Pulmonary Nodules].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
  8. 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

10 authors.

Haoming GuoDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zubin OuyangDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xinghua LiDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yongliang HanDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fengming TaoDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mengqi LiuDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Runtian ChengDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaoya ChenDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fajin LvDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Haitao YangDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preoperative computed tomography (CT)-guided localization of small pulmonary nodules (SPNs) is the major approach for accurate intraoperative visualization in video-assisted thoracoscopic surgery (VATS). However, this interventional procedure has certain risks and may challenge to less experienced junior doctors. This study aims to evaluate the feasibility and efficacy of robotic-assisted CT-guided preoperative pulmonary nodules localization with the modified hook-wire needles before VATS. Methods: A total of 599 patients with 654 SPNs who preoperatively accepted robotic-assisted CT-guided percutaneous pulmonary localization were respectively enrolled and compared to 90 patients with 94 SPNs who underwent the conventional CT-guided manual localization. The clinical and imaging data including patients' basic information, pulmonary nodule features, location procedure findings, and operation time were analyzed. Results: The localization success rate was 96.64% (632/654). The mean time required for marking was 22.85±10.27 min. Anchor of dislodgement occurred in 2 cases (0.31%). Localization-related complications included pneumothorax in 163 cases (27.21%), parenchymal hemorrhage in 222 cases (33.94%), pleural reaction in 3 cases (0.50%), and intercostal vascular hemorrhage in 5 cases (0.83%). Localization and VATS were performed within 24 hours. All devices were successfully retrieved in VATS. Histopathological examination revealed 166 (25.38%) benign nodules and 488 (74.62%) malignant nodules. For patients who received localizations, VATS spent a significantly shorter time, especially the segmentectomy group (93.61±35.72 Conclusions: Robotic-assisted CT-guided percutaneous pulmonary nodules hook-wire localization could be effectively helpful for junior less experienced interventional physicians to master the procedure and potentially increase precision.

Indexed as

computed tomography-guided localization (CT-guided localization)pulmonary nodulesRobotic-assistedrobotic navigation

Identifiers

PMID39144352
PMCPMC11320270

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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.