With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

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.

Pancoast tumor, a special subtype of non-small cell lung cancer originating from the apex of the upper lobe, is characterized by its complex clinical manifestations and high treatment difficulty due to its unique anatomical location, often leading to a relatively poor prognosis. Currently, guidelines recommend neoadjuvant concurrent chemoradiotherapy followed by surgery as the standard treatment strategy, which has significantly improved overall patient survival compared to previous approaches. However, this regimen has limitations, including significant toxicity, increased surgical complexity, and a lack of individualized treatment options. In recent years, new strategies such as neoadjuvant targeted therapy and immunechemotherapy combinations have shown higher pathological response rates and manageable safety profiles in clinical studies, offering new directions for treating Pancoast tumors. This case report describes a 56-year-old female diagnosed with stage ⅢC Pancoast tumor harboring co-mutations in EGFR and ERBB2 and high PD-L1 expression. Through dynamic biopsy-guided precise targeted therapy, a neoadjuvant strategy incorporating immunotherapy and chemotherapy, and successful surgical intervention, pathological complete response was achieved. This case highlights the critical value of a multidisciplinary team approach and precision medicine in the management of Pancoast tumor.

Non-small cell lung cancer(NSCLC)remains the leading cause of cancer-related mortality globally.In recent years,the advent of molecular targeted therapies and immune checkpoint inhibition has profoundly reshaped the therapeutic landscape of NSCLC.As these advanced modalities shift from treating advanced-stage disease toward earlier-stage presentations,perioperative intervention(including neoadjuvant and adjuvant therapy)has risen to the forefront of NSCLC research.To comprehensively address the integration of targeted and immunotherapeutic strategies in the perioperative management of NSCLC research,this review synthesizes the core findings from landmark phase Ⅲrandomized controlled trials such as NeoADAURA and CheckMate 816.Additionally,it presents a succinct summary and analysis of the principal prognostic endpoints used to evaluate perioperative efficacy.Drawing on current evidence related to both efficacy and safety,the review advocates for an individualized precision-oncology approach as a pivotal direction for optimizing perioperative treatment strategies in NSCLC research.

Non-small cell lung cancer(NSCLC)remains the leading cause of cancer-related mortality globally.In recent years,the advent of molecular targeted therapies and immune checkpoint inhibition has profoundly reshaped the therapeutic landscape of NSCLC.As these advanced modalities shift from treating advanced-stage disease toward earlier-stage presentations,perioperative intervention(including neoadjuvant and adjuvant therapy)has risen to the forefront of NSCLC research.To comprehensively address the integration of targeted and immunotherapeutic strategies in the perioperative management of NSCLC research,this review synthesizes the core findings from landmark phase Ⅲrandomized controlled trials such as NeoADAURA and CheckMate 816.Additionally,it presents a succinct summary and analysis of the principal prognostic endpoints used to evaluate perioperative efficacy.Drawing on current evidence related to both efficacy and safety,the review advocates for an individualized precision-oncology approach as a pivotal direction for optimizing perioperative treatment strategies in NSCLC research.

Non-small cell lung cancer(NSCLC)is one of the most prevalent and deadliest cancers worldwide.While the use of targeted therapies and immunotherapies in precision medicine has improved outcomes for some patients,a significant portion of individuals still fail to benefit,emphasizing the need to investigate the underlying mechanisms of resis-tance.Survival analyses have shown that NSCLC patients with SMARCA4 mutations often have poor prognoses.SMARCA4,the core ATPase subunit of the SWI/SNF chromatin remodeling complex,plays a critical role in regulating gene transcription by modifying chromatin accessibility.This influences essential cellular processes such as differentiation and cell cycle regula-tion,and SMARCA4 is widely regarded as a tumor suppressor.This review will explore the role of SMARCA4 mutations in tumor progression,its clinicopathological features in NSCLC,its impact on treatment outcomes,and potential therapeutic strategies.

Lung cancer is the highest cancer-related mortality rate in the world, and is one of the most common malignancies. The standard treatment for early-stage non-small cell lung cancer (NSCLC) is radical lobectomy, while recent studies have found that sub-lobectomy of pulmonary nodules (≤2 cm) is not inferior to lobectomy and even improve the prognosis of the patients. These important findings will effectively and positively promote the formation of consensus and principles of wedge resection of pulmonary nodules (≤2 cm) in the field of thoracic surgery. The purpose of this study is to present a national expert consensus on wedge resection of pulmonary nodules (≤2 cm) in the field of thoracic surgery. The experts from Editorial Committee of Consensus on Wedge Resection of Lung Nodules (≤2 cm) (2023 Edition) jointly participated in the revision work. According to the clinical progress about the wedge resection of pulmonary nodules (≤2 cm) at home and abroad during recent years, experts jointly wrote Wedge Resection of Pulmonary Nodules (≤2 cm): a Consensus Statement by Specialists of Thoracic Surgery (2023 Edition), in combination with the homogeneous treatment principles of wedge resection in the field of thoracic surgery in China. This consensus was summarized from the following aspects: (1) Indications of wedge resection of pulmonary nodules (≤2 cm); (2) Resection range of pulmonary nodules (≤2 cm) required for wedge resection; (3) Excisable pulmonary nodules (≤2 cm) for wedge resection. This consensus finally put forward 8 recommended opinions, and sorted out 5 opinions which were still controversial and needed more evidence. The integrated opinions were generated through the discussion held among the experts of thoracic surgery from all over the country, making wedge resection of pulmonary nodules (≤2 cm) more appropriate for China and more standardized and homogeneous for clinical practice. In the future, more relevant researches should be accumulated based on the characteristics of lung cancer and its diagnosis and treatment in China, optimizing the treatment of pulmonary nodules (≤2 cm).
Humans ; Thoracic Surgery ; Carcinoma, Non-Small-Cell Lung ; Lung Neoplasms/surgery* ; Thoracic Surgical Procedures ; Multiple Pulmonary Nodules ; Small Cell Lung Carcinoma

Immune checkpoint inhibitors (ICIs) have revolutionized the approach to advanced and locally advanced non-small-cell lung cancer (NSCLC). Antibodies blocking inhibitory immune checkpoints, such as programmed death 1 (PD-1) and its ligand (PD-L1), have remarkable antitumor efficacy and have been approved as a standard first- or second-line treatment in non-oncogene-addicted advanced NSCLC. The successful application of immunotherapy in advanced lung cancer has motivated researchers to further evaluate its clinical role as a neoadjuvant setting for resectable NSCLC and for improved long-term overall survival and curative rates. In this review, we discuss the efforts that incorporate ICIs into the treatment paradigm for surgically resectable lung cancer. We reviewed the early-phase results from neoadjuvant clinical trials, the landscape of the majority of ongoing phase III trials, and discuss the prospects of ICIs as a curative therapy for resectable lung cancer. We also summarized the potential biomarkers and beneficiaries involved in the current study, as well as the remaining unresolved challenges for neoadjuvant immunotherapy.

Immune checkpoint inhibitors (ICIs) have revolutionized the approach to advanced and locally advanced non-small-cell lung cancer (NSCLC). Antibodies blocking inhibitory immune checkpoints, such as programmed death 1 (PD-1) and its ligand (PD-L1), have remarkable antitumor efficacy and have been approved as a standard first- or second-line treatment in non-oncogene-addicted advanced NSCLC. The successful application of immunotherapy in advanced lung cancer has motivated researchers to further evaluate its clinical role as a neoadjuvant setting for resectable NSCLC and for improved long-term overall survival and curative rates. In this review, we discuss the efforts that incorporate ICIs into the treatment paradigm for surgically resectable lung cancer. We reviewed the early-phase results from neoadjuvant clinical trials, the landscape of the majority of ongoing phase III trials, and discuss the prospects of ICIs as a curative therapy for resectable lung cancer. We also summarized the potential biomarkers and beneficiaries involved in the current study, as well as the remaining unresolved challenges for neoadjuvant immunotherapy.