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

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: 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

BACKGROUND: The complication rate of fungal disease is higher among patients with hematological malignancies. We investigated the clinicobacteriological outcomes of resected pulmonary fungal infections complicating hematological malignancies. METHODS: Between 2001 and 2017, 21 patients with pulmonary fungal infections complicating hematological malignancies underwent resection, and their clinical records and survival were retrospectively reviewed. RESULTS: The median age of the patients was 47 years, and 13 were male. The histological diagnoses were pulmonary aspergillosis (19 cases), mucormycosis (1 case), and cryptococcosis (1 case). The indications for surgery were resistance to antifungal therapy and the necessity of surgery before hematopoietic stem cell transplantation in 13 and 8 cases, respectively. The diagnoses of the hematological malignancies were acute myelogenous leukemia (10 cases), acute lymphocytic leukemia (5 cases), myelodysplastic syndrome (3 cases), and chronic myelogenous leukemia, malignant lymphoma, and extramedullary plasmacytoma (1 case each). The surgical procedures were partial resection (11 cases), segmentectomy (5 cases), lobectomy (4 cases), and cavernostomy (1 case). The size of the lesions was 0.9–8.5 cm. Fourteen cases had cavitation. There were no surgical-related deaths or fungal progression. CONCLUSION: Pulmonary fungal infections are resistant to treatments for hematological malignancies. Since the treatment of the underlying disease is extended and these infections often recur and are exacerbated, surgery should be considered when possible.
Cryptococcosis ; Diagnosis ; Hematologic Neoplasms* ; Hematopoietic Stem Cell Transplantation ; Humans ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive ; Leukemia, Myeloid, Acute ; Lung Diseases, Fungal* ; Lymphoma ; Male ; Mastectomy, Segmental ; Mucormycosis ; Mycoses ; Myelodysplastic Syndromes ; Plasmacytoma ; Precursor Cell Lymphoblastic Leukemia-Lymphoma ; Pulmonary Aspergillosis ; Retrospective Studies ; Thoracic Surgery

BACKGROUND: Simultaneity multiple primary lung cancer always is a rare disease, but in recent years due to the progress of the diagnosis and treatment means detection rate increased. This study summarized the clinical data of 31 cases of synchronous multiple primary lung cancer (sMPLC) analysis, further to explore the diagnosis, treatment and prognosis of MPLC. METHODS: Sum up the clinical data of 31 cases of simultaneous multiple primary lung cancer, the diagnostic method, surgical methods, pathology, were retrospectively analyzed. RESULTS: All the patients are thoracoscope surgery, no deaths. Thin high resolution computed tomography (CT) in preoperative found multiple lung nodules. Lesions located in the same side of the same period surgical treatment, the operation method is given priority to with under the thoracoscope lung + the lobectomy; Lesions located in bilateral, all staged operation, the time interval for 3 months-4 months. CONCLUSIONS Thin layer distinguish CT preoperative diagnosis is the best way to simultaneous multiple primary lung cancer. Multiple primary lung cancer incidence of ipsilateral lung at the same time higher than that of bilateral lung (23:8), type, around 94%, the most common histology to adenocarcinoma, 80.6% (25/31). Primary lesions under thoracoscope lobectomy plus the lobectomy of secondary lesions is the most commonly used.
Adult ; Aged ; Female ; Humans ; Lung Neoplasms ; diagnosis ; diagnostic imaging ; surgery ; Male ; Middle Aged ; Neoplasms, Multiple Primary ; diagnosis ; diagnostic imaging ; surgery ; Retrospective Studies ; Tomography, X-Ray Computed

Background and objective As computed tomography (CT) screening for lung cancer becomes more common in China, so too does detection of pulmonary ground-glass nodules (GGNs). Although anumber of national or international guidelines about pulmonary GGNs have been published,most of these guidelines are produced by respiratory, oncology or radiology physicians, who might not fully understand the progress of modern minimal invasive thoracic surgery, and these current guidelines may overlook or underestimate the value of thoracic surgery in the management of pulmonary GGNs. In addition, the management for pre-invasive adenocarcinoma is still controversial. Based onthe available literature and experience from Shanghai Pulmonary Hospital, we composed this consensus about diagnosis and treatment of pulmonary GGNs. For lesions which are considered as adenocarcinoma in situ, chest thin layer CT scan follow-up is recommended and resection can only be adopt in some specific cases and excision should not exceed single segment resection. For lesions which are considered as minimal invasive adenocarcinoma, limited pulmonary resection or lobectomy is recommended. For lesions which are considered as early stage invasive adenocarcinoma, pulmonary resection is recommend and optimal surgical methods depend on whether ground glass component exist, location, volume and number of the lesions and physical status of patients. Principle of management of multiple pulmonary nodules is that primary lesions should be handled with priority, with secondary lesions taking into account.
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Adenocarcinoma ; diagnosis ; diagnostic imaging ; surgery ; Adenocarcinoma of Lung ; China ; Consensus ; Hospitals ; Humans ; Lung Neoplasms ; diagnosis ; diagnostic imaging ; surgery ; Physicians ; psychology ; Positron Emission Tomography Computed Tomography ; Practice Guidelines as Topic ; Retrospective Studies ; Solitary Pulmonary Nodule ; diagnosis ; diagnostic imaging ; surgery ; Tomography, X-Ray Computed