ObjectiveTo systematically review the clinical utilization of robotic bronchoscopes in diagnosis of pulmonary nodules, including MonarchTM and IonTM platforms, and then evaluate the efficacy and safety of the procedure. MethodsPubMed, EMbase, Web of Science and Cochrane Central Register of Controlled Trials databases were searched by computer for literature about the biopsy of pulmonary nodules with robotic bronchoscope from January 2018 to February 14, 2022. The quality of research was evaluated with Newcastle-Ottawa Scale. RevMan 5.4 software was used to conduct the meta-analysis. ResultsFinally, 19 clinical studies with 1 542 patients and 1 697 targeted pulmonary nodules were included, of which 13 studies used the IonTM platform and 6 studies used the MonarchTM platform. The overall diagnostic rate of the two systems was 84.96% (95%CI 62.00%-95.00%), sensitivity for malignancy was 81.79% (95%CI 43.00%-96.00%), the mean maximum diameter of the nodules was 16.22 mm (95%CI 10.98-21.47), the mean procedure time was 61.86 min (95%CI 46.18-77.54) and the rate of complications occurred was 4.76% (95%CI 2.00%-15.00%). There was no statistical difference in the outcomes between the two systems. Conclusion Robotic bronchoscope provides a high efficacy and safety in biopsy of pulmonary nodules, and has a broad application prospect for pulmonary nodules diagnosis.
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.
Lung nodules are the main manifestation of early lung cancer. So accurate detection of lung nodules is of great significance for early diagnosis and treatment of lung cancer. However, the rapid and accurate detection of pulmonary nodules is a challenging task due to the complex background, large detection range of pulmonary computed tomography (CT) images and the different sizes and shapes of pulmonary nodules. Therefore, this paper proposes a multi-scale feature fusion algorithm for the automatic detection of pulmonary nodules to achieve accurate detection of pulmonary nodules. Firstly, a three-layer modular lung nodule detection model was designed on the deep convolutional network (VGG16) for large-scale image recognition. The first-tier module of the network is used to extract the features of pulmonary nodules in CT images and roughly estimate the location of pulmonary nodules. Then the second-tier module of the network is used to fuse multi-scale image features to further enhance the details of pulmonary nodules. The third-tier module of the network was fused to analyze the features of the first-tier and the second-tier module of the network, and the candidate box of pulmonary nodules in multi-scale was obtained. Finally, the candidate box of pulmonary nodules under multi-scale was analyzed with the method of non-maximum suppression, and the final location of pulmonary nodules was obtained. The algorithm is validated by the data of pulmonary nodules on LIDC-IDRI common data set. The average detection accuracy is 90.9%.
Objective To evaluate the diagnostic value and utility of flexible bronchoscopy in the preoperative assessment in patients with solitary pulmonary nodules (SPNs). Methods A total of 111 patients with SPNs of unknown origin treated between January and June 2016 were retrospectively enrolled. The clinical characteristics, bronchoscopy findings and surgical strategies were collected. Results In the total 111 cases, malignant and benign SPNs were 79 and 32 cases, respectively. The mean diameter of malignant SPNs was larger than that of benign SPNs [(2.04±0.58) vs. (1.70±0.75) cm, P<0.05]. Bronchoscopy identified 9 cases (8.1%) unsuspected findings. Surgeries were modified or cancelled in 3 patients (2.7%) because of bronchoscopy findings. Transbronchoscopy biopsies were performed in 26 patients, 9 of whom were diagnosed lung cancer preoperatively, with a sensitivity of 45% (9/20) and a specificity of 100% (6/6). Conclusions Flexible bronchoscopy can be contributed to diagnosis of SPN before surgery and determination of surgical strategies. It is suggested that flexible bronchoscopy could be included in the routine preoperative work-up of SPN.
Recently, the frequency of lung disease appears higher and more precise than previously estimated. Small pulmonary nodules (SPNs) are frequently detected on high-resolution computed tomography (CT) scans. For the reason of high rate of false positives by fine needle aspirate biopsy, small lung nodules often can not be confirmed by monitor or palpation with forceps. How to precisely locate and mark the nodule before the surgery is one of the most important things for video-assisted thoracoscopic surgery (VATS). We reviews the methods of location the pulmonary nodules before the surgery and analyzes the advantages and disadvantages of various methods.
Objective To investigate the risk factors, diagnosis and treatment of solitary pulmonary nodule （diameter≤3cm）. Methods From Jan. 2001 to Dec. 2002, the clinical data of 297 patients with solitary pulmonary nodule were reviewed. Chi-square or t-test were used in univariate analysis of age, gender, symptom, smoking history, the size, location and radiological characteristics of nodule, and logistic regression in multivariate analysis. Results Univariate analysis revealed that malignancy was significantly associated with age （P=0. 000）, smoking history （P=0. 001）, the size （P=0. 000） and radiological characteristics （P=0. 000） of nodule. In multivariate analysis （logistic regression）, it was significantly associated with age （OR = 1. 096）, the size （OR = 2. 329） and radiological characteristics （OR=0. 167） of nodule. Conclusion Age and the size of nodule could be risk factors. Radiological findings could help distinguish from malignant nodules.
Pulmonary adenocarcinoma in situ is reclassified as precursor glandular lesions in the fifth edition of WHO classification of thoracic tumours, causing widespread attention and heated debate among domestic thoracic oncologists, radiologists, pathologists and surgeons. We would like to comment on the topic and make a few suggestions on the management of pulmonary nodule during lung cancer screening. We are open to all suggestion and welcome debates.
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 systematically evaluate the application effect of CT-guided Hook-wire localization and CT-guided microcoil localization in pulmonary nodules surgery. MethodsThe literatures on the comparison between CT-guided Hook-wire localization and CT-guided microcoil localization for pulmonary nodules were searched in PubMed, EMbase, The Cochrane Library, Web of Science, Wanfang, VIP and CNKI databases from the inception to October 2021. Review Manager (version 5.4) software was used for meta-analysis. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of studies.ResultsA total of 10 retrospective cohort studies were included, with 1 117 patients including 473 patients in the CT-guided Hook-wire localization group and 644 patients in the CT-guided microcoil localization group. The quality of the studies was high with NOS scores>6 points. The result of meta-analysis showed that the difference in the localization operation time (MD=0.14, 95%CI ?3.43 to 3.71, P=0.940) between the two groups was not statistically significant. However, the localization success rate of the Hook-wire group was superior to the microcoil group (OR=0.35, 95%CI 0.17 to 0.72, P=0.005). In addition, in comparison with Hook-wire localization, the microcoil localization could reduce the dislocation rate (OR=4.33, 95%CI 2.07 to 9.08, P<0.001), the incidence of pneumothorax (OR=1.62, 95%CI 1.12 to 2.33, P=0.010) and pulmonary hemorrhage (OR=1.64, 95%CI 1.07 to 2.51, P=0.020). ConclusionAlthough Hook-wire localization is slightly better than microcoil localization in the aspect of the success rate of pulmonary nodule localization, microcoil localization has an obvious advantage compared with Hook-wire localization in terms of controlling the incidence of dislocation, pneumothorax and pulmonary hemorrhage. Therefore, from a comprehensive perspective, this study believes that CT-guided microcoil localization is a preoperative localization method worthy of further promotion.
Objective To explore the correlation between the imaging features of peripheral ground-glass pulmonary nodules and the invasion degree of lung adenocarcinoma, and the high risk factors for infiltrating lung adenocarcinoma under thin-slice CT, which provides some reference for clinicians to plan the surgical methods of pulmonary nodules before operation and to better communicate with patients, and assists in building a clinical predictive model for invasive adenocarcinoma. MethodsClinical data of the patients with peripheral ground-glass pulmonary nodules (diameter≤3 cm) in thin-slice chest CT in the First Affiliated Hospital of Soochow University from January 2019 to January 2020 were continuously collected. All patients underwent thin-slice CT scan and thoracoscopic surgery in our center. According to the pathological examination results, they were divided into two groups: an adenocarcinoma lesions before infiltration group, and an invasive lung adenocarcinoma group. The thin-slice CT imaging parameters of pulmonary nodules were collected. The nodular diameter, mean CT value, consolidation tumor ratio (CTR), nodular shape, vacuolar sign, bronchial air sign, lobulation sign, burr sign, lesion boundary, pleural depression sign, vascular cluster sign and other clinical data were collected. Univariate and multivariate analyses were conducted to analyze the independent risk factors for the infiltrating lung adenocarcinoma, and to analyze the threshold value and efficacy of each factor for the identification of infiltrating lung adenocarcinoma. Results Finally 190 patients were enrolled. There were 110 patients in the adenocarcinoma lesions before infiltration group, including 21 males and 89 females with a mean age of 53.57±10.90 years, and 80 patients in the invasive lung adenocarcinoma group, including 31 males and 49 females with a mean age of 56.45±11.30 years. There was a statistical difference in the mean CT value, nodular diameter, CTR, gender, smoking, nodular type, nodular shape, vacuolar sign, lobulation sign, burr sign, lesion boundary, pleural depression sign, vascular cluster sign between the two groups (P＜0.05). However, there was no statistical difference between the two groups in age (P=0.081), lesion site (P=0.675), and bronchial air sign (P=0.051). Multiple logistic regression analysis showed that nodular diameter, mean CT value, CTR and lobulation sign were independent risk factors for differentiating preinvasive adenocarcinoma from invasive adenocarcinoma. At the same time, the threshold value was calculated by Youden index, indicating that the CTR was 0.45, the nodal diameter was 10.5 mm and the mean CT value was –452 Hu. Conclusion In the peripheral ground-glass pulmonary nodules, according to the patient's CT imaging features, such as mixed ground-glass nodules, irregular shapes, vacuoles, short burrs, clear boundaries, pleural indentations, and vascular clusters, have a certain reference value in the discrimination of the invasion degree of ground-glass pulmonary nodules. At the same time, it is found in this research that peripheral ground-glass pulmonary nodules with diameter greater than 10.5 mm, CT value greater than –452 Hu, CTR greater than 0.45 and lobulation sign are more likely to be infiltrating lung adenocarcinoma.