Objective To explore the diagnostic value and safety of CT-guided percutaneous lung biopsy (CT-PLB) for pulmonary nodules. Methods A total of 438 patients with pulmonary nodules underwent CT-PLB for further diagnosis. Results The CT-PLB was performed successfully in all 438 patients. The positive biopsy rate at the first puncture was 94.9%, and 100.0% at the second puncture. The pathology results revealed 379 (86.5%) cases of malignant lesions, 37 cases of benign lesions, and 22 cases with uncertainty. The sensitivity, specificity and accuracy of CT-PLB were 97.9% (376/384), 94.4% (51/54), and 97.4% (427/438), respectively. The first puncture induced complications included pneumothorax in 33 (7.5%) cases, blood in phlegm in 62 (14.2%) cases, pleural reaction in 7 (1.6%) cases, and bleeding at the site of puncture in 6 (1.4%) cases. There was no occurrence of neoplasm needle track implantation. The second puncture induced complications included pneumothorax in 7 (46.6%) cases and blood in phlegm in 11 (73.3%) cases. The incidences of pneumothorax and blood in phlegm were significantly higher in the patients with chronic obstructive pulmonary disease (COPD), with pulmonary lesion size＜3 cm, or with penetration depth ≥5 cm (P＜0.05). Conclusions CT-PLB is a safe method with a relatively small trauma and has good diagnostic value for pulmonary nodules. The incidence of complications increases in patients with smaller pulmonary lesions, deeper puncture, or COPD.
The precise localization of pulmonary nodules has become an important technical key point in the treatment of pulmonary nodules by thoracoscopic surgery, which is a guarantee for safe margin and avoiding removal of too much normal lung parenchyma. With the development of medical technology and equipment, the methods of locating pulmonary nodules are also becoming less trauma and convenience. There are currently a number of methods applied to the preoperative or intraoperative localization of pulmonary nodules, including preoperative percutaneous puncture localization, preoperative transbronchial localization, intraoperative palpation localization, intraoperative ultrasound localization, and localization according to anatomy. The most appropriate localization method should be selected according to the location of the nodule, available equipment, and surgeon’s experience. According to the published literatures, we have sorted out a variety of different theories and methods of localization of pulmonary nodules in this article, summarizing their advantages and disadvantages for references.
ObjectiveTo analyze the results and rationality of the lesion-focused strategy with subsegment as the pulmonary anatomical unit for pulmonary nodules with a diameter of ≤2 cm which require surgery. MethodsClinical data of 246 patients with pulmonary nodules who underwent surgery in the Department of Thoracic Surgery of The First Affiliated Hospital of Nanjing Medical University from January 2017 to October 2018 were retrospectively analyzed, including 76 males and 170 females, with an average age of 53.30±11.82 years. The patients were divided into four groups, a single segmentectomy group, a segmentectomy combined with adjacent subsegmentectomy group, a single subsegmentectomy group and a combined subsegmentectomy group, according to the different surgical approaches, to compare preoperative, intraoperative, and postoperative related data. ResultsThere was no perioperative death. Among the four groups, there was no statistical difference in gender (P=0.163), age (P=0.691), diameter of the nodule (P=0.743), longitudinal position of the nodule (depth ratio, P=0.831), postoperative pulmonary leakage (P=0.752), intraoperative blood loss (P=0.135), pathological type (P=0.951) or TNM stage (P=0.995); there were statistical differences in transverse position of the nodule (P<0.001) and number of subsegments involved (P<0.001). The results of multivariate logistic regression analysis showed that compared with combined subsegmentectomy, the odds ratio (OR) of the lung nodule in segmentectomy combined with adjacent subsegmentectomy as intersegment nodules was 5.759 (95%CI 1.162 to 28.539, P=0.032).Conclusion The surgical strategy of lesion focused and subsegment as anatomical unit is safe and feasible for surgical treatment of pulmonary nodules with diameter ≤2 cm. The transverse position of the nodules is an important factor affecting the choice of surgical method for the middle and lateral nodules with a diameter of ≤2 cm, and the longitudinal location of the nodule is not an influencing factor. For nodules in inner zone, the diameter also is one of the factors influencing the choice of surgical method.
ObjectiveTo explore the distribution pattern of respiratory symptoms and relevant factors in patients with pulmonary nodules. MethodsDemographic and clinical information were collected from patients who visited the Thoracic Surgery Outpatient Clinic of Guangdong Provincial People’s Hospital from January 2021 to January 2022. Hospital Anxiety and Depression Scale (HADS) was used to assess their anxiety and depression level. ResultsA total of 1173 patients were enrolled, including 449 males and 724 females, with an average age of 46.94±11.43 years. Among the patients with pulmonary nodules, 37.7% of them had at least one respiratory symptom; 24.4% had cough, 14.0% had expectoration, 1.3% had hemoptysis and 14.9% had chest pain. Old age, male, exposure to second-hand smoking or environmental smoke, hair coloring and history of tuberculosis were major risk factors for respiratory symptoms (P<0.05). Middle age, old age, male, exposure to environmental smoke were major risk factors for cough (P<0.05); old age, smoking, larger maximum nodules diameters, exposure to environmental smoke and history of pneumonia were major risk factors for expectoration (P<0.05); male, multiple nodules, hair coloring, exposure to second-hand smoking and history of tuberculosis were major risk factors for chest pain (P<0.05). Symptomatic patients showed generally higher HADS scores than asymptomatic patients (P<0.001). ConclusionCough, expectoration and chest pain are the predominant respiratory symptoms for patients with pulmonary nodules. The presentation of respiratory symptoms increases patients' anxiety and depression.
The widespread application of low-dose computed tomography (LDCT) has significantly increased the detection of pulmonary small nodules, while accurate prediction of their growth patterns is crucial to avoid overdiagnosis or underdiagnosis. This article reviews recent research advances in predicting pulmonary nodule growth based on CT imaging, with a focus on summarizing key factors influencing nodule growth, such as baseline morphological parameters, dynamic indicators, and clinical characteristics, traditional prediction models (exponential and Gompertzian models), and the applications and limitations of radiomics-based and deep learning models. Although existing studies have achieved certain progress in predicting nodule growth, challenges such as small sample sizes and lack of external validation persist. Future research should prioritize the development of personalized and visualized prediction models integrated with larger-scale datasets to enhance predictive accuracy and clinical applicability.
With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.
Surgical resection is the only radical method for the treatment of early-stage non-small cell lung cancer. Intraoperative frozen section (FS) has the advantages of high accuracy, wide applicability, few complications and real-time diagnosis of pulmonary nodules. It is one of the main means to guide surgical strategies for pulmonary nodules. Therefore, we searched PubMed, Web of Science, CNKI, Wanfang and other databases for nearly 30 years of relevant literature and research data, held 3 conferences, and formulated this consensus by using the Delphi method. A total of 6 consensus contents were proposed: (1) Rapid intraoperative FS diagnosis of benign and malignant diseases; (2) Diagnosis of lung cancer types including adenocarcinoma, squamous cell carcinoma, others, etc; (3) Diagnosis of lung adenocarcinoma infiltration degree; (4) Histological subtype diagnosis of invasive adenocarcinoma; (5) The treatment strategy of lung adenocarcinoma with inconsistent diagnosis on degree of invasion between intraoperative FS and postoperative paraffin diagnosis; (6) Intraoperative FS diagnosis of tumor spread through air space, visceral pleural invasion and lymphovascular invasion. Finally, we gave 11 recommendations in the above 6 consensus contents to provide a reference for diagnosis of pulmonary nodules and guiding surgical decision-making for peripheral non-small cell lung cancer using FS, and to further improve the level of individualized and precise diagnosis and treatment of early-stage lung cancer.
Lung cancer has brought tough challenges to human health due to its high incidence and mortality rate in the current practice. Nowadays, computed tomography (CT) imaging is still the most preferred diagnostic tool for early screening of lung cancer. However, a great challenge brought from accumulative CT imaging data can not meet the demand of the current clinical practice. As a novel kind of artificial intelligence technique aimed to deal with medical images, a computer-aided diagnosis has been found to provide useful auxiliary information, attenuate the workload of doctors, and significantly improve the efficiency and accuracy for clinical diagnosis of lung cancer. Therefore, an effective combination of computer-aided techniques and CT imaging has increasingly become an active area of investigation in early diagnosis of lung cancer. This review aims to summarize the latest progress on the diagnostic value of computer-aided technology with regard to early stage lung cancer from the perspectives of machine learning and deep learning.
ObjectiveTo explore the feasibility and safety of using indocyanine green combined with autologous blood and methylene blue for localization of small lung nodules during thoracoscopic wedge resection. MethodsPatients who underwent CT-guided percutaneous lung puncture injection of localization agents to locate lung nodules at the First Affiliated Hospital of Fujian Medical University from November 2023 to January 2024 were selected. Under thoracoscopy, lung nodules were located by white light mode, fluorescence mode, or near-infrared mode and wedge resection was performed. The feasibility of using indocyanine green combined with autologous blood and methylene blue for localization of small lung nodules was preliminarily verified by evaluating whether the localization agent concentrated around the nodules, and the safety of this method was verified by analyzing the incidence of adverse reactions during patient puncture and surgery. ResultsA total of 30 patients with lung nodules were included, including 10 males and 20 females, with an average age of (55.5±11.2) years. In 26 patients, the amount of localization agent used was moderate, the localization agent concentrated around the nodules, and successful precise localization of small lung nodules was achieved. In 4 patients, due to excessive use of localization agent, the marker was diffuse with pleural staining. The overall localization success rate was 86.7%, and when the injection volume of localization agent was 0.2-0.5 mL, the localization success rate was 100.0%. All patients successfully completed thoracoscopic wedge resection and found nodule lesions, with negative margins and a distance from the margin to the lesion that met the requirements. There were no complications. ConclusionThoracoscopic surgery using indocyanine green combined with autologous blood and methylene blue for localization of small lung nodules is safe and feasible.
ObjectiveTo evaluate the learning curve of CT-guided medical glue localization for pulmonary nodule before video-assisted thoracic surgery (VATS). MethodsThe clinical data of the patients with pulmonary nodules who underwent CT-guided medical glue localization before VATS in our hospital from July 2018 to March 2021 were retrospectively analyzed. The patients were divided into 3 groups: a group A (from July 2018 to August 2019), a group B (from September 2019 to June 2020) and a group C (from July 2020 to March 2021). The localization time, morbidity, complete resection rate and other indexes were compared among the three groups. ResultsA total of 77 patients were enrolled, including 24 males and 53 females aged 57.4±10.1 years. There were 25 patients in the group A, 21 patients in the group B, and 31 patients in the group C. 77 pulmonary nodules were localized. There was no significant difference among the groups in the basic data (P＞0.05). The localization time in the group C was 10.6±2.0 min, which was statistically shorter than that in the group A (15.4±4.4 min) and group B (12.9±4.3 min) (P＜0.01). The incidence of complications in the group C was lower than that in the group A and group B (25.8% vs. 52.0% vs. 47.6%, P=0.04). The success rate of localization of the three groups was not statistically different (P=0.12). ConclusionThere is a learning curve in CT-guided medical glue localization for single pulmonary nodule before VATS. After the first 46 cases, the operation time can be shortened, and the incidence of complications can be decreased.
