ArticleThe British journal of radiology2021
A computed tomography-based nomogram to predict pneumothorax caused by preoperative localization of ground glass nodules using hook wire.
Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Efficiency of robotic-assisted thoracic surgery in resection of nodules previously localised with embolisation microcoils.Journal of robotic surgery · 2026Article
- Unlocking the Potential of Computed Tomography-Guided Tracers in Pinpointing Lung Lesions during Surgery: A Collaborative Multi-Institutional Journey.Journal of clinical medicine · 2024Article
- Article
- The risk factors for the failure of hook wire localization of ground glass nodules prior to thoracoscopic surgery.Journal of cardiothoracic surgery · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop and validate a CT-based nomogram to predict the occurrence of loculated pneumothorax due to hook wire placement.
methodsPatients (
resultsBased on the results of multivariable regression analysis, transfissure approach [odds ratio (OR): 757.94; 95% confidence interval CI (21.20-27099.30)
conclusionA CT-based nomogram combining imaging features and clinical factors can predict the probability of pneumothorax before localization of ground-glass nodules. The nomogram is a decision-making tool to prevent pneumothorax and determine whether to proceed with further treatment. ADVANCES IN KNOWLEDGE: A nomogram composed of transfissure, transemphysema, multiple nodule localization, and depth of nodule has been developed to predict the probability of pneumothorax before localization of GGNs.
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Registered trials
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.