Evidence map›Paper›PMID 39869367›Full record

ReviewInternational journal of surgery (London, England)2025

Small pulmonary nodule localization techniques in the era of lung cancer screening: a narrative review.

Hao Zhang, Chi Zhang, Lin Li, Jun Qi, Guo-Huan Yang, Ying-Qiang Li, Chang-Qi Gong

Abstract readReview
In one paragraph

Review in International journal of surgery (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

Hao ZhangDepartment of Radiology, Dianjiang People's Hospital of Chongqing, Chongqing, PR China.
Chi ZhangClass 21, Grade 2025, Chongqing Yangjiaping Middle School, Chongqing, PR China.
Lin LiDepartment of Pharmacy, Dianjiang People's Hospital of Chongqing, Chongqing, PR China.
Jun QiDepartment of Thoracic and Cardiovascular Surgery, Changshou District People's Hospital of Chongqing, Chongqing, China.
Guo-Huan YangDepartment of Pulmonary and Critical Care Medicine, Dianjiang People's Hospital of Chongqing, Chongqing, PR China.
Ying-Qiang LiCarcinoma Department of Traditional Chinese Medicine, Dianjiang People's Hospital of Chongqing, Chongqing, PR China.
Chang-Qi GongCarcinoma Department of Traditional Chinese Medicine, Dianjiang People's Hospital of Chongqing, Chongqing, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread adoption of high-resolution computed tomography (CT) screening has led to increased detection of small pulmonary nodules, necessitating accurate localization techniques for surgical resection. This review examines the evolution, efficacy, and safety of various localization methods for small pulmonary nodules. Studies focusing on localization techniques for pulmonary nodules ≤30 mm in diameter were included, with emphasis on technical success rates and complication profiles. Preoperative CT-guided techniques, including hook-wire (success rate 94-98%) and anchored needle localization (success rate >99%, dislodgement rate 0%) demonstrate high technical success rates, though with varying complication profiles. Microcoil localization (97-98% success) shows comparable efficacy with lower complication rates. Dye-based methods offer simplicity but can be limited by rapid diffusion. Newer techniques like medical adhesive localization (success rate up to 100%) and electromagnetic navigation bronchoscopy (97.2% success) show promise in reducing complications and improving accuracy. Intraoperative methods such as ultrasound and hybrid operating room approaches provide real-time guidance but may be limited by nodule characteristics and available expertise. This review presents a radar chart analysis comparing techniques across key parameters and introduces an innovative decision-making algorithm that considers nodule characteristics, patient factors, and institutional resources, providing practical guidance and serving as a reference for clinicians. While no single method is universally superior, the trend towards minimally invasive, precise, and flexible approaches is evident. Future research should focus on large-scale comparative studies and the integration of artificial intelligence for optimized technique selection and improved patient outcomes.

Indexed as

Early Detection of CancerLung NeoplasmsMultiple Pulmonary NodulesSolitary Pulmonary NoduleBronchoscopyHumansTomography, X-Ray Computed

Identifiers

PMID39869367
PMCPMC12372730

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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.