Evidence map›Paper›PMID 41158377›Full record

ReviewJournal of thoracic disease2025

Precise localization techniques for small pulmonary nodules: what is next?

Chongde Pan, Weijian Deng, Yulin Zhao, Yuechun Lin, Yu Jiang, Ying Du, Hengrui Liang, Jun Liu, Fei Cui, Jianxing He

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of thoracic disease, 2025. 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

10 authors.

Chongde Pan *Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Weijian Deng *Department of Clinical Medicine, The First Clinical School of Guangzhou Medical University, Guangzhou, China.
Yulin Zhao *Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yuechun Lin *Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yu Jiang *Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Ying DuDepartment of Clinical Medicine, The First Clinical School of Guangzhou Medical University, Guangzhou, China.
Hengrui LiangDepartment of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jun LiuDepartment of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Fei CuiDepartment of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jianxing HeDepartment of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the widespread adoption of low-dose computed tomography (LDCT) screening, the detection rate of small pulmonary nodules has surged, necessitating precise localization for minimally invasive resection. Video-assisted thoracoscopic surgery (VATS), being the gold standard for diagnosis and treatment, faces significant challenges in localizing nodules <1 or >1.5 cm from the pleural surface, particularly ground-glass nodules, due to limited tactile feedback. This review systematically evaluates advancements in preoperative and intraoperative localization techniques, focusing on four domains: computed tomography (CT)-guided methods (e.g., liquid agents like indocyanine green, metallic markers, and robotic-assisted puncture), bronchoscopy-guided approaches [electromagnetic navigation, radial endobronchial ultrasound (EBUS), and robotic bronchoscopy], three-dimensional (3D) printing navigation, and emerging technologies (augmented reality and real-time noninvasive systems). Despite progress, limitations persist: CT-guided methods face complications like pneumothorax (20%) and operator dependency, while bronchoscopic techniques exhibit lower diagnostic yields (18-60%

Indexed as

localization techniquesPulmonary nodulesrobotic-assisted surgery

Identifiers

PMID41158377
PMCPMC12557699

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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.