ReviewQuantitative imaging in medicine and surgery2022
Intraoperative identification of pulmonary nodules during minimally invasive thoracic surgery: a narrative review.
Review in Quantitative imaging in medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Distinguishing Organizing Pneumonia from Malignancy During Cancer Surveillance: Predominant Diagnostic Value of Imaging over Systemic Inflammatory Biomarkers.Current oncology (Toronto, Ont.) · 2026Article
- Intraoperative localization of pulmonary nodules using indocyanine green-lipiodol marking: a single-center case series.General thoracic and cardiovascular surgery · 2026Article
- Intraoperative Contrast-Enhanced Ultrasound Versus Traditional Intraoperative Ultrasound for Detecting Lung Nodules During Robotic-assisted Thoracic Surgery.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2026Article
- Added Value of SPECT/CT in Radio-Guided Occult Localization (ROLL) of Non-Palpable Pulmonary Nodules Treated with Uniportal Video-Assisted Thoracoscopy.Journal of clinical medicine · 2025Article
- Virtual thoracoscopic imaging for accurate pulmonary nodule localization: clinical experience.Surgery today · 2025Article
- A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.Cancers · 2025Review
- Targeted Nanoclusters for Intratracheal Delivery in Intraoperative Imaging of Lung Adenocarcinoma.International journal of nanomedicine · 2025Article
- The value of thoracoscopic ultrasound for the localization of ground-glass opacities with incomplete lung collapse in video-assisted thoracoscopic surgery.Quantitative imaging in medicine and surgery · 2024Article
- Augmented reality navigation-guided intraoperative pulmonary nodule localization: a pilot study.Translational lung cancer research · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: The increasingly widespread application of computed tomography (CT) in the screening and follow-up of patients with lung disease has concomitantly increased the detection rate of pulmonary nodules. Currently, minimally invasive thoracic surgery (MITS) has become the preferred method of surgery for patients with pulmonary ground-glass nodules (GGNs) due to its advantages minimal invasiveness and rapid recovery. However, target nodule identification during MITS is sometimes challenging due to the inherent characteristics of these nodules, especially when they are small and distant from the pleura. This review details the many methods used for the intraoperative localization of pulmonary nodules. Methods: Literature published in the Cochrane Library, PubMed, ClinicalTrials, and China National Knowledge Infrastructure from 1990 to 2022 were searched and analyzed to obtain a comprehensive review of the different methods of identifying pulmonary nodules. Literature related to animal testing were excluded. Key Content and Findings: An overview of the recent progress in the clinical methods for intraoperative localization of pulmonary nodules [including CT-guided percutaneous placement of markers; bronchoscopy-guided placement of markers; intraoperative ultrasonography; three-dimensional (3D) printing technology; artificial intelligence (AI); and intraoperative molecular imaging (IMI)] was conducted. The advantages and disadvantages, as well as the complications associated with existing research methods, were summarized to assist doctors in the development of optimized clinical strategies. Conclusions: Clinicians can communicate with the multidisciplinary team and select the appropriate positioning method according to each patient's individual situation and the available support of the equipment and technology of the institution. Certain non-invasive and specific identification methods may have clinical potential in pulmonary nodule localization in the future.
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