Increasing peripheral pulmonary nodules are detected given the growing adoption of chest CT screening for lung cancer. The invention of electromagnetic navigation bronchoscope provides a new diagnosis and treatment method for pulmonary nodules, which has been demonstrated to be feasible and safe, and the technique of microwave ablation through bronchus is gradually maturing. The one-stop diagnosis and treatment of pulmonary nodules can be completed by the combination of electromagnetic navigation bronchoscopy and microwave ablation, which will help achieve local treatment through the natural cavity without trace.
ObjectiveTo compare the effectiveness and safety of electromagnetic navigation-guided localization and CT-guided percutaneous localization for pulmonary nodules.MethodsThe literature published from the inception to January 2021 about the comparison between electromagnetic navigation-guided localization and CT-guided percutaneous localization for pulmonary nodules in the PubMed, The Cochrane Library, Web of Science, EMbase, Chinese Wanfang database and CNKI database was searched. RevMan (version 5.4) software was used for meta-analysis. Nonrandomized controlled trials were evaluated using methodological index for nonrandomized studies (MINORS).ResultsA total of six retrospective studies (567 patients) were included in this meta-analysis. MINORS scores of all studies were all 17 points and above. There were 317 patients in the CT-guided percutaneous localization group and 250 patients in the electromagnetic navigation-guided localization group. The complication rate of the CT-guided percutaneous localization group was significantly higher than that in the electromagnetic navigation-guided localization group (OR=11.08, 95%CI 3.35 to 36.65, P<0.001). There was no significant difference in the success rate of localization (OR=0.48, 95%CI 0.16 to 1.48, P=0.20), localization time (MD=0.30, 95%CI –6.16 to 6.77, P=0.93) or nodule diameter (MD=–0.07, 95%CI –0.19 to 0.06, P=0.29) between the two groups.ConclusionElectromagnetic navigation can be used as an effective preoperative positioning method for pulmonary nodules, which has the advantage of lower complication rate compared with the traditional CT positioning method.
ObjectiveTo investigate the diagnostic value of tuberculosis T cell spot test (T-SPOT.TB) and erythrocyte sedimentation rate (ESR) test in the diagnosis of simple pulmonary nodules in Xinjiang.MethodsA retrospective analysis of 72 patients with asymptomatic simple pulmonary nodules in the Department of Thoracic Surgery, the First Affiliated Hospital of Xinjiang Medical University from October 2017 to July 2019 was performed. According to the pathological results, the patients were divided into a tuberculoma group [n=23, including 14 males and 9 females, aged 37-84 (56.91±12.73) years] and a lung cancer group [n=49, including 31 males and 18 females, aged 34-83 (61.71±10.15) years]. The predictive value of T-SPOT.TB and ESR results for the diagnosis of simple pulmonary nodules was evaluated.ResultsThe positive rate of T-SPOT.TB in the tuberculoma group (69.60%) was higher than that in the lung cancer group (42.90%) (χ2=5.324, P=0.021), with a sensitivity of 69.56% and specificity of 57.14%; the positive ESR was 47.80% in the tuberculoma group and 59.20% in the lung cancer group, and no statistical difference was found between the two groups (χ2=0.981, P=0.322), with a sensitivity of 47.82% and specificity of 40.81%; the area under receiver operating characteristic curve (AUC) was 0.618, the 95% confidence interval of AUC was (0.479, 0.758), and the Youden’s index was 0.267 with a sensitivity of 69.60% and specificity of 57.10%. Difference in the T-SPOT.TB and ESR test results was statistically significant (χ2=4.986, P=0.026), but the correlation between the tests was weak with a Pearson contingency coefficient of 0.199. ESR results in patients with different ages were statistically different (χ2=7.343, P=0.025), but the correlation between age and ESR results was weak with a Pearson contingency coefficient of 0.239; T-SPOT.TB results in patients with different ages were not statistically different (χ2=0.865, P=0.649), and the correlation between age and ESR results was weak with a Pearson contingency coefficient of 0.084.ConclusionThe diagnostic value of T-SPOT.TB and ESR tests is small in the diagnosis of simple pulmonary nodules.
ObjectiveTo study the feasibility and safety of CT-guided preoperative Hookwire localization of pulmonary nodules in clinical application.MethodsClinical data of 102 patients who were scheduled to undergo surgical treatment for pulmonary nodules from June 2015 to April 2020 in the North Ward of Thoracic Surgery Department of Ruijin Hospital were retrospectively analyzed. There were 38 males and 64 females, aged 23-82 (53.2±12.8) years.ResultsAll 102 patients with pulmonary nodules underwent CT-guided preoperative Hookwire localization successfully, with a localization success rate of 100.0%. The localization time was 27.0 (11-67) min; the number of times to adjust the angle during the positioning process was 6.9 (3-14); the needle depth of the positioning needle was 41.5 (16.3-69.1) mm. A total of 48 (47.1%) patients had a small amount of bleeding in the lung tissue in the positioning area after positioning; 53 (51.9%) patients had a small amount of pneumothorax after positioning; 16 (15.7%) patients were found that the positioning needle completely shedded from the lung tissue in the subsequent surgery. One patient was transferred to open thoracotomy because of extensive dense adhesion in the thorax, and the remaining 101 patients were operated on under thoracoscopy. Postoperative pathology showed that 5 (4.9%) patients were adenocarcinoma in situ, 28 (27.5%) were microinvasive adenocarcinoma, 36 (35.3%) patients were invasive carcinoma and 32 (31.3%) patients were benign lesions. No patients had complications or adverse events related to preoperative positioning.ConclusionPreoperative CT-guided localization of Hookwire intrapulmonary nodules is safe and effective, and can meet the intraoperative localization needs of thoracic surgeons in most clinical situations, and is not inferior to other preoperative localization methods currently used in clinics.
ObjectiveTo explore the clinical application of the comprehensive guidance technologies, such as cone beam computed tomography (CBCT), virtual bronchoscopic navigation (VBN), and superimposed high-frequency jet ventilator for respiratory control in the biopsy of peripheral pulmonary nodules (PPNs). MethodsThe clinical information of 3 patients with PPNs diagnosed by CBCT combined with VBN and superimposed high frequency superposition jet ventilator in Shanghai Changhai Hospital were retrospectively analyzed. Results Clinical data of 3 patients were collected. The average diameter of PPNs was (25.3±0.3) mm with various locations in left and right lung. The first nodule was located in the apex of the left upper lung, and the biopsy was benign without malignant cells. The lesion was not enlarged during the 5-year follow-up. The second one was located in the left lingual lung, and the postoperative pathology was confirmed as mucosa-associated lymphoma. The third one was located in the anterior segment of the right upper lung. After the failure of endobronchial procedure, percutaneous PPNs biopsy under CBCT combined with VBN was performed, and the pathological diagnosis was confirmed as primary lung adenocarcinoma. Postoperative pneumothorax complication occurred in the third patient with right lung compression rate approximately 20%. ConclusionsThe application of CBCT, combined with VBN and the superimposed high frequency jet ventilator for respiratory control can potentially improve the accuracy and safety in the diagnosis of PPNs. Multi-center clinical trials are needed to verify its further clinical application.
ObjectiveTo compare the efficacy and safety of computed tomography (CT)-guided percutaneous versus electromagnetic navigation bronchoscopy (ENB)-guided microwave ablation (MWA) for the treatment of pulmonary nodules. MethodsA retrospective analysis was conducted on the data of high-risk pulmonary nodule patients who underwent MWA at the Nanjing Drum Tower Hospital between 2022 and 2023. The pathological diagnosis rate, complications, and progression-free survival (PFS) rate were compared between the CT group and the ENB group. ResultsThere were 61 patients in the CT group, including 30 males and 31 females, with an average age of (67.22±9.13) years. There were 53 patients in the ENB group, including 29 males and 24 females, with an average age of (65.29±13.76) years. The pathological diagnosis rate in the CT group was slightly higher than that in the ENB group (88.52% vs. 71.69%, P=0.03). However, the ENB group exhibited a lower incidence of perioperative complications, including pneumothorax (16.39% vs. 3.77%, P=0.03), hemoptysis (19.67% vs. 5.66%, P=0.05), and pain (22.95% vs. 7.55%, P=0.03). There was no statistically significant difference in PFS rate between the two groups [HR=1.17, 95%CI (0.23, 5.81), P=0.85]. ConclusionBoth CT-guided and ENB-guided MWA are effective treatment modalities for high-risk pulmonary nodules.
ObjectiveTo explore the application of artificial intelligence (AI) in the standardized training of thoracic surgery residents, specifically in enhancing clinical skills and anatomical understanding through AI-assisted lung nodule identification and lung segment anatomy teaching. MethodsThoracic surgery residents undergoing standardized training at Peking Union Medical College Hospital from September 2023 to September 2024 were selected. They were randomly assigned to a trial group and a control group using a random number table. The trial group used AI-assisted three-dimensional reconstruction technology for lung nodule identification, while the control group used conventional chest CT images. After basic teaching and self-practice, the ability to identify lung nodules on the same patient CT images was evaluated, and feedback was collected through questionnaires. ResultsA total of 72 residents participated in the study, including 30 (41.7%) males and 42 (58.3%) females, with an average age of (24.0±3.0) years. The trial group showed significantly better overall diagnostic accuracy for lung nodules (91.9% vs. 73.3%) and lung segment identification (100.0% vs. 83.70%) compared to the control group, and the reading time was significantly shorter [ (118.5±10.5) s vs. (332.1±20.2) s, P<0.01]. Questionnaire results indicated that 94.4% of the residents had a positive attitude toward AI technology, and 91.7% believed that it improved diagnostic accuracy. ConclusionAI-assisted teaching significantly improves thoracic surgery residents’ ability to read images and clinical thinking, providing a new direction for the reform of standardized training.
Artificial intelligence (AI) has been widely used in all walks of life, including healthcare, and has shown great application value in the auxiliary diagnosis of pulmonary nodules in the medical field. In the face of a large amount of lung imaging data, clinicians use AI tools to identify lesions more quickly and accurately, improving work efficiency, but there are still many problems in this field, such as the high false positive rate of recognition, and the difficulty in identifying special types of nodules. Researchers and clinicians are actively developing and using AI tools to promote their continuous evolution and make them better serve human health. This article reviews the clinical application and research progress of AI-assisted diagnosis of pulmonary nodules.
ObjectiveTo explore the safety and feasibility of 3D precise localization based on anatomical markers in the treatment of pulmonary nodules during video-assisted thoracoscopic surgery (VATS).MethodsFrom June 2019 to April 2015, 27 patients with pulmonary nodules underwent VATS in our Hospital were collected in the study, including 3 males and 24 females aged 51.8±13.7 years. The surgical data were retrospectively reviewed and analyzed, such as localization time, localization accuracy rate, pathological results, complication rate and postoperative hospital stay.ResultsA total of 28 pulmonary nodules were localized via this method. All patients received surgery successfully. No mortality or major morbidity occurred. The general mean localization time was 17.6±5.8 min, with an accuracy of 96.4%. The mean diameter of pulmonary nodules was 14.0±8.0 mm with a mean distance from visceral pleura of 6.5±5.4 mm. There was no localization related complication. The mean postoperative hospital stay was 6.7±4.3 d. The routine pathological result showed that 78.6% of the pulmonary nodules were adenocarcinoma.Conclusion3D precise localization based on anatomical markers in the treatment of pulmonary nodules during thoracoscopic surgery is accurate, safe, effective, economical and practical, and it is easy to master with a short learning curve.
In thoracoscopic pulmonary nodule resection surgery, precise preoperative planning is crucial. Artificial intelligence (AI)-assisted three-dimensional (3D) reconstruction technologies have shown great potential in this area. AI-assisted 3D reconstruction technologies can provide accurate, personalized models of the pulmonary vasculature and bronchial anatomy, assisting surgeons in detailed surgical planning and thus enhancing the precision and safety of surgeries. This article reviews the application progress of AI-assisted 3D reconstruction technologies in pulmonary nodule surgery, including their applications in preoperative diagnosis, surgical planning, and intraoperative navigation, as well as the advancements in AI-assisted 3D reconstruction technologies. It analyzes the technical features of all kinds of 3D reconstruction methods, their clinical applications, and the challenges they face.