In recent years, the widespread application of chest computed tomography (CT) screening has led to a significant increase in the detection rate of pulmonary nodules. As a critical diagnostic tool for early-stage lung cancer, video-assisted thoracic surgery (VATS) has emerged as the preferred therapeutic approach for pulmonary nodules. Clinical evidence demonstrates that precise preoperative localization significantly enhances surgical success rates (reducing conversion to thoracotomy), minimizes complications, and shortens operation time. This comprehensive review systematically evaluates six cutting-edge localization techniques: percutaneous puncture-assisted localization, electromagnetic navigation bronchoscopy (ENB) localization, 3D-printed auxiliary localization, basin-analysis-based localization, robotic navigation system localization, and mixed reality (MR)-guided localization. By critically analyzing their operational principles, efficacy, safety profiles, and clinical applicability, this paper aims to provide evidence-based recommendations for optimizing clinical decision-making in pulmonary nodule management.
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Humans ; Lung Neoplasms/diagnosis* ; Solitary Pulmonary Nodule/diagnostic imaging* ; Thoracic Surgery, Video-Assisted/methods* ; Multiple Pulmonary Nodules/diagnostic imaging* ; Tomography, X-Ray Computed

Objective: Based on the diagnostic model established and validated by the machine learning algorithm, to investigate the value of seven tumor-associated autoantibodies (TAABs), namely anti-p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE antibodies in the diagnosis of non-small cell lung cancer (NSCLC) and to differentiate between NSCLC and benign lung nodules. Methods: This was a retrospective study of clinical cases. Model building queue: a total of 227 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from November 2018 to June 2021 were collected as the NSCLC group, and 120 cases of benign lung nodules, 122 cases of pneumonia and 120 healthy individuals were selected as the control groups. External validation queue: a total of 100 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from May 2022 to December 2022 were collected as the NSCLC group, and 36 cases of benign lung nodules, 32 cases of pneumonia and 44 healthy individuals were selected as the control groups. In addition, NSCLC was divided into early (stage 0-ⅠB) and mid-to-late (stage ⅡA-ⅢB) subgroups. The levels of 7-TAABs were detected by enzyme immunoassay, and serum concentrations of CEA and CYFRA21-1 were detected by electrochemiluminescence. Four machine learning algorithms, XGBoost, Lasso logistic regression, Naïve Bayes, and Support Vector Machine are used to establish classification models. And the best performance model was chosen based on evaluation metrics and a multi-indicator combination model was established. In addition, an online risk evaluation tool was generated to assist clinical applications. Results: Except for p53, the levels of rest six TAABs, CEA and CYFRA21-1 were significantly higher in the NSCLC group (P<0.05). Serum levels of anti-SOX2 [1.50 (0.60, 10.85) U/ml vs. 0.8 (0.20, 2.10) U/ml, Z=2.630, P<0.05] and MAGEA1 antibodies [0.20 (0.10, 0.43) U/ml vs. 0.10 (0.10, 0.20) U/ml, Z=2.289, P<0.05], CEA [3.13 (2.12, 5.64) ng/ml vs. 2.11 (1.25, 3.09) ng/ml, Z=3.970, P<0.05] and CYFRA21-1 [4.31(2.37, 7.14) ng/ml vs. 2.53(1.92, 3.48) ng/ml, Z=3.959, P<0.05] were significantly higher in patients with mid-to late-stage NSCLC than in early stages. XGBoost model was used to establish a multi-indicator combined detection model (after removing p53). 6-TAABs combined with CYFRA21-1 was the best combination model for the diagnosis of NSCLC and early NSCLC. The optimal diagnostic thresholds were 0.410, 0.701 and 0.744, and the AUC was 0.828, 0.757 and 0.741, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in model building queue, and the AUC was 0.760, 0.710 and 0.660, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in external validation queue. Conclusion: In the diagnosis of NSCLC, 6-TAABs is superior to that of traditional tumor markers CEA and CYFRA21-1, and can compensate for the shortcomings of traditional tumor markers. For the differential diagnosis of NSCLC and benign lung nodule, "6-TAABs+CYFRA21-1" is the most cost-effective combination, and plays an important role in prevention and screening for early lung cancer.
Humans ; Carcinoma, Non-Small-Cell Lung/surgery* ; Lung Neoplasms/diagnosis* ; Retrospective Studies ; Autoantibodies ; Bayes Theorem ; Tumor Suppressor Protein p53 ; Carcinoembryonic Antigen ; Antigens, Neoplasm ; Biomarkers, Tumor ; Algorithms ; Pneumonia

Objective: Based on the diagnostic model established and validated by the machine learning algorithm, to investigate the value of seven tumor-associated autoantibodies (TAABs), namely anti-p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE antibodies in the diagnosis of non-small cell lung cancer (NSCLC) and to differentiate between NSCLC and benign lung nodules. Methods: This was a retrospective study of clinical cases. Model building queue: a total of 227 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from November 2018 to June 2021 were collected as the NSCLC group, and 120 cases of benign lung nodules, 122 cases of pneumonia and 120 healthy individuals were selected as the control groups. External validation queue: a total of 100 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from May 2022 to December 2022 were collected as the NSCLC group, and 36 cases of benign lung nodules, 32 cases of pneumonia and 44 healthy individuals were selected as the control groups. In addition, NSCLC was divided into early (stage 0-ⅠB) and mid-to-late (stage ⅡA-ⅢB) subgroups. The levels of 7-TAABs were detected by enzyme immunoassay, and serum concentrations of CEA and CYFRA21-1 were detected by electrochemiluminescence. Four machine learning algorithms, XGBoost, Lasso logistic regression, Naïve Bayes, and Support Vector Machine are used to establish classification models. And the best performance model was chosen based on evaluation metrics and a multi-indicator combination model was established. In addition, an online risk evaluation tool was generated to assist clinical applications. Results: Except for p53, the levels of rest six TAABs, CEA and CYFRA21-1 were significantly higher in the NSCLC group (P<0.05). Serum levels of anti-SOX2 [1.50 (0.60, 10.85) U/ml vs. 0.8 (0.20, 2.10) U/ml, Z=2.630, P<0.05] and MAGEA1 antibodies [0.20 (0.10, 0.43) U/ml vs. 0.10 (0.10, 0.20) U/ml, Z=2.289, P<0.05], CEA [3.13 (2.12, 5.64) ng/ml vs. 2.11 (1.25, 3.09) ng/ml, Z=3.970, P<0.05] and CYFRA21-1 [4.31(2.37, 7.14) ng/ml vs. 2.53(1.92, 3.48) ng/ml, Z=3.959, P<0.05] were significantly higher in patients with mid-to late-stage NSCLC than in early stages. XGBoost model was used to establish a multi-indicator combined detection model (after removing p53). 6-TAABs combined with CYFRA21-1 was the best combination model for the diagnosis of NSCLC and early NSCLC. The optimal diagnostic thresholds were 0.410, 0.701 and 0.744, and the AUC was 0.828, 0.757 and 0.741, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in model building queue, and the AUC was 0.760, 0.710 and 0.660, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in external validation queue. Conclusion: In the diagnosis of NSCLC, 6-TAABs is superior to that of traditional tumor markers CEA and CYFRA21-1, and can compensate for the shortcomings of traditional tumor markers. For the differential diagnosis of NSCLC and benign lung nodule, "6-TAABs+CYFRA21-1" is the most cost-effective combination, and plays an important role in prevention and screening for early lung cancer.
Humans ; Carcinoma, Non-Small-Cell Lung/surgery* ; Lung Neoplasms/diagnosis* ; Retrospective Studies ; Autoantibodies ; Bayes Theorem ; Tumor Suppressor Protein p53 ; Carcinoembryonic Antigen ; Antigens, Neoplasm ; Biomarkers, Tumor ; Algorithms ; Pneumonia

Lung cancer ranks the first cancer-related morbidity and mortality in China. With the development and penetration of imaging technology, increasing small pulmonary peripheral Nodules (SPPNs) have been detected. However, precise location and diagnosis of SPPNs is still a tough problem for clinical diagnosis and treatment in department of thoracic surgery. With the development of electromagnetic navigation bronchoscopy (ENB), it provides a novel minimally invasive method for the diagnosis and treatment of SPPNs. In this review, we summarized the application and progress of ENB in preoperative positioning, diagnosis, and local treatment, then, discussed the clinical application of ENB in the hybrid operating room.
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Bronchoscopy/methods* ; Electromagnetic Phenomena ; Humans ; Lung Neoplasms/surgery* ; Multiple Pulmonary Nodules/diagnosis* ; Thoracic Surgery

BACKGROUND: Mathematical predictive model is an effective method for preliminarily identifying the malignant pulmonary nodules. As the epidemiological trend of lung cancer changes, the detection rate of ground-glass-opacity (GGO) like early stage lung cancer is increasing rapidly, timely and proper clinical management can effectively improve the patients' prognosis. Our study aims to establish a novel predictive model of malignancy for non-solid pulmonary nodules, which would provide an objective evidence for invasive procedure and avoid unnecessary operation and the consequences. METHODS: We retrospectively analyzed the basic demographics, serum tumor markers and imaging features of 362 cases of non-solid pulmonary nodule from January 2013 to April 2018. All nodules received biopsy or surgical resection, and got pathological diagnosis. Cases were randomly divided into two groups. The modeling group was used for univariate analysis and logistic regression to determine independent risk factors and establish the predictive model. Data of the validation group was used to validate the predictive value and make a comparison with other models. RESULTS: Of the 362 cases with non-solid pulmonary nodule, 313 (86.5%) cases were diagnosed as AAH/AIS, MIA or invasive adenocarcinoma, 49 cases were diagnosed as benign lesions. Age, serum tumor markers CEA and Cyfra21-1, consolidation tumor ratio value, lobulation and calcification were identified as independent risk factors. The AUC value of the ROC curve was 0.894, the predictive sensitivity and specificity were 87.6%, 69.7%, the positive and negative predictive value were 94.8%, 46.9%. The validated predictive value is significantly better than that of the VA, Brock and GMUFH models. CONCLUSIONS Proved with high predictive sensitivity and positive predictive value, this novel model could help enable preliminarily screening of "high-risk" non-solid pulmonary nodules before biopsy or surgical excision, and minimize unnecessary invasive procedure. This model achieved preferable predictive value, might have great potential for clinical application.
Adenocarcinoma ; blood ; diagnosis ; surgery ; Adult ; Aged ; Biomarkers, Tumor ; blood ; Carcinoembryonic Antigen ; blood ; Female ; Humans ; Logistic Models ; Lung Neoplasms ; blood ; diagnosis ; surgery ; Male ; Middle Aged ; Models, Theoretical ; Multiple Pulmonary Nodules ; blood ; diagnosis ; surgery ; Prognosis ; ROC Curve ; Retrospective Studies

BACKGROUND: Electromagnetic navigation bronchoscopy (ENB) has become the latest minimally invasive diagnostic and therapeutic technique due to its characteristics, e.g., non-invasion, accuracy, real-time positioning. In this study, we investigated the application of ENB biopsy combined with Massage staining in the diagnosis and treatment of peripheral pulmonary lesions (PPL). METHODS: The clinical data of 15 PPL patients undergoing ENB biopsy plus Massage staining between August 2017 and January 2018 were retrospectively reviewed. Among them, there were 12 male and 3 female, and the mean age was (51.3±2.1) years old. RESULTS: The diameter of PPLs ranged from 6 mm to 36 mm (mean: 14.0 mm). The successful biopsy rate was 66.7%. All patients successfully underwent Massage staining. The distance between the centers of staining and lesion was (1.0±0.4) cm, and the diameter of staining was (2.8±0.6) cm. The mean operation time was (26.7±5.3 ) min, and the mean blood loss during surgery was (3.3±1.5) mL. There was no pneumothorax, hemothorax and pulmonary vascular injury during the procedure. CONCLUSIONS The ENB biopsy plus Massage staining technique caused very few complications, and provided high precision, which warrants further application.
Bronchoscopy ; methods ; Electromagnetic Fields ; Female ; Humans ; Lung Diseases ; diagnosis ; surgery ; Lung Neoplasms ; diagnosis ; surgery ; Male ; Middle Aged ; Reproducibility of Results ; Retrospective Studies ; Sensitivity and Specificity ; Staining and Labeling ; methods

Tumor spread through air spaces (STAS) as a new pathological invasion mode is closely related to many clinicopathological factors. In lung adenocarcinoma, micropapillary and solid pathological subtypes are most related; STAS for early stage lung adenocarcinoma, surgical type of lobectomy seems to benefit better than sublobar resection, which may up-regulate the pathological stage of early lung cancer; Moreover, STAS is closely related to squamous cell carcinoma and other non-small cell lung cancer (NSCLC). In addition, intraoperative frozen-section pathological detection of STAS is difficult and controversial. STAS as an independent risk factor for tumor recurrence is also an important factor indicating poor prognosis. This paper reviews the research status and progress of STAS.
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Adenocarcinoma of Lung ; diagnosis ; pathology ; surgery ; Animals ; Humans ; Lung Neoplasms ; diagnosis ; pathology ; surgery ; Neoplasm Invasiveness ; Prognosis

BACKGROUND: To summarize the clinical features of patients with pulmonary embolism after lobectomy and to explore the methods of diagnosis and treatment of pulmonary embolism after lobectomy. METHODS: The clinical data of 6 patients with pulmonary embolism after lobectomy between July 2007 and July 2017 were retrospectively analyzed. RESULTS: Of the 6 patients, 3 died within 24 h of onset and 3 patients were cured and discharged. CONCLUSIONS Pulmonary embolism after lobectomy is a rare postoperative complication in thoracic surgery. It is difficult to diagnose and has a high mortality rate. Preoperative thromboembolic risk assessment and postoperative prevention are important.
Aged ; Female ; Humans ; Lung Neoplasms ; surgery ; Male ; Middle Aged ; Pneumonectomy ; adverse effects ; Postoperative Complications ; diagnosis ; etiology ; therapy ; Pulmonary Embolism ; diagnosis ; etiology ; therapy ; Retrospective Studies ; Thoracic Surgery, Video-Assisted ; adverse effects

BACKGROUND: Pulmonary embolism (PE) is one of the most severe complications after thoracic surgeries. Thus it is of great importance to learn the characteristics of acute PE after thoracic surgeries. This study summarized the clinical characteristics and experience on the diagnosis and treatment of 37 patients with postoperative acute pulmonary embolism, in order to improve its prophylaxis and management level. METHODS: We retrospectively reviewed 37 patients with postoperative acute pulmonary embolism following thoracic surgeries. Age, gender, body mass index (BMI), diagnosis, surgical procedure, onset time, clinical presentation, diagnosis and management were comprehensively analyzed. RESULTS: There were 16 males (43.2%) and 21 females (56.8%). The average age was (65.64±6.29) years (range from 53 years to 82 years) and 32 patients were over 60 years. BMI ranged from 17.1 kg/m² to 30.8 kg/m² with median of 26.3 kg/m². And 27 patients' BMI (73.0%) were over 25.0 kg/m². Thirty-four patients (91.9%) were with malignancies. Median presentation time was the 4th day postoperatively, while 11 patients were presented on the 3rd day postoperatively which accounted for the most. Patients with acute pulmonary embolism accounted for 77.8% from 9 am to 9 pm. D-dimer (D-D) ranged from 1.0 μg/mL-20.0 μg/mL (FEU) with median of (7.09±4.45) μg/mL (FEU) and 32 (86.5%) patients' D-D were over 3.00 μg/mL (FEU). CONCLUSIONS The survival rate of postoperative acute pulmonary embolism can be increased by fully understanding its clinical characteristics, early diagnosis and multiple disciplinary treatment.
Acute Disease ; Aged ; Aged, 80 and over ; Female ; Humans ; Lung Neoplasms ; surgery ; Male ; Middle Aged ; Postoperative Complications ; diagnosis ; etiology ; therapy ; Pulmonary Embolism ; diagnosis ; etiology ; therapy ; Retrospective Studies ; Survival Rate ; Thoracic Surgical Procedures ; adverse effects

BACKGROUND: Previous studies have shown that the neutrophil-to-lymphocyte ratio (NLR) has a significant impact on the prognosis of many malignant tumors such as gastric cancer, colorectal cancer and pancreatic cancer, but the study on the prognosis of patients with resectable lung adenocarcinoma is less. The aim of this study is to investigate the correlation between the NLR and the clinicopathologic features of adenocarcinoma of lung patients who underwent radical pneumonectomy. Furthermore, this study aimed to clarify the predictive and prognostic significance of NLR in patients who underwent pneumonectomy for lung adenocarcinoma. METHODS: This study reviewed the medical records of 163 patients with lung adenocarcinoma who underwent pneumonectomy. The receiver operating characteristic (ROC) curve and Youden index were used to determine the cut-off value of the NLR. Survival curves were described by Kaplan-Meier method and compared by Log-rank test. The univariate and multivariate analyses were performed with the Cox proportional hazard model to identify the prognostic factors. RESULTS: When the NLR value was 2.96, the Youden index was maximal, with a sensitivity of 77.5% and a specificity of 75.9%. The 5-year survival rate in the low NLR group was higher than that in the high NLR group (P<0.05). The univariate and multivariate analyses showed that TNM staging and NLR were independent factors in predicting survival rate. CONCLUSIONS The NLR value was a simple and useful tool to predict the prognosis of lung adenocarcinoma after radical pneumonectomy.
Adenocarcinoma ; diagnosis ; immunology ; pathology ; surgery ; Adenocarcinoma of Lung ; Aged ; Cell Count ; Female ; Follow-Up Studies ; Humans ; Kaplan-Meier Estimate ; Lung Neoplasms ; diagnosis ; immunology ; pathology ; surgery ; Lymphocytes ; cytology ; Male ; Middle Aged ; Neoplasm Staging ; Neutrophils ; cytology ; Pneumonectomy ; Prognosis ; ROC Curve ; Retrospective Studies