Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.

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.

To address the growing challenge of an increasing number of elderly lung cancer patients amidst China's aging population and to fill the gap in quality control standards for surgical treatment in this special population, this study aimed to develop a standardized surgical evaluation system for elderly lung cancer patients tailored to China's national conditions. The system was established through a literature review, integrated the pathophysiological characteristics of elderly patients, and was constructed following review, feedback, and revision by experts from multiple thoracic surgery centers. Employing a 100-point scoring system, it comprises three primary domains: physical infrastructure and geriatric adaptability foundational conditions (10 points); management level and perioperative care models (20 points); and technical proficiency and clinical outcomes (70 points). The system places a strong emphasis on geriatric adaptability, proposing specific, quantifiable indicators for age-friendly facility modifications, control of elderly-specific complications, multidisciplinary collaboration, and standardized perioperative management. It provides a convenient and measurable assessment tool for quality control in the surgical treatment of elderly lung cancer in China, which is expected to promote the standardization and homogenization of diagnosis and treatment.

Objective To analyze the technical essentials of single-microport assisted micro-uni-port thoracoscopic surgery, and to investigate its surgical efficacy and promotional value. Methods Clinical data of patients who consecutively underwent radical upper lobectomy in the Department of Thoracic Surgery of Xi'an International Medical Center Hospital from March 2023 to June 2024 were retrospectively analyzed. According to the surgical approach, patients were divided into two groups: the single-microport assisted group (underwent upper lobectomy via single-microport assisted micro-uni-port thoracoscopy) and the traditional uniportal group (underwent traditional uniportal thoracoscopic lobectomy). Clinical outcomes were compared between the two groups. Results A total of 62 patients were enrolled. There were 30 patients in the single-microport assisted group, with a mean age of (57.4±10.8) years, and 32 patients in the traditional uniportal thoracoscopic group, with a mean age of (57.6±8.7) years. The baseline data were comparable between the two groups. All patients in both groups successfully underwent minimally invasive surgery without conversion to thoracotomy. The operative time in the single-microport assisted group was significantly shorter than that in the traditional uniportal group [(146.03±30.79) min vs. (171.41±36.41) min, P=0.004]. However, there were no statistically significant differences between the two groups in intraoperative blood loss, number of dissected lymph nodes, duration of chest tube drainage, postoperative pain score, postoperative hospital stay, hospitalization cost, or incidence of postoperative complications (all P>0.05). Conclusion Single-microport assisted micro-uni-port thoracoscopic surgery for upper lobectomy can maximally integrate the advantages of three-port and uni-port VATS while effectively avoiding their disadvantages. It significantly shortens the operative time without increasing postoperative pain or complications, and represents a more minimally invasive, safer, and more convenient surgical approach.

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.

OBJECTIVE: To analyze the effectiveness of single three-dimensional (3D)-printed microporous titanium prostheses and flap combined prostheses implantation in the treatment of large segmental infectious bone defects in limbs. METHODS: A retrospective analysis was conducted on the clinical data of 76 patients with large segmental infectious bone defects in limbs who were treated between January 2019 and February 2024 and met the selection criteria. Among them, 51 were male and 25 were female, with an age of (47.7±9.4) years. Of the 76 patients, 51 had no soft tissue defects (single prostheses group), while 25 had associated soft tissue defects (flap combined group). The single prostheses group included 28 cases of tibial bone defects, 11 cases of femoral defects, 5 cases of humeral defects, 4 cases of radial bone defects, and 3 cases of metacarpal, or carpal bone defects, with bone defect length ranging from 3.5 to 28.0 cm. The flap combined group included 3 cases of extensive dorsum of foot soft tissue defects combined with large segmental metatarsal bone defects, 19 cases of lower leg soft tissue defects combined with large segmental tibial bone defects, and 3 cases of hand and forearm soft tissue defects combined with metacarpal, carpal, or radial bone defects, with bone defect length ranging from 3.8 to 32.0 cm and soft tissue defect areas ranging from 8 cm×5 cm to 33 cm×10 cm. In the first stage, vancomycin-loaded bone cement was used to control infection, and flap repair was performed in the flap combined group. In the second stage, 3D-printed microporous titanium prostheses were implanted. Postoperative assessments were performed to evaluate infection control and bone integration, and pain release was evaluated using the visual analogue scale (VAS) score. RESULTS: All patients were followed up postoperatively, with an average follow-up time of (35.2±13.4) months. In the 61 lower limb injury patients, the time of standing, walk with crutches, and fully bear weight were (2.2±0.6), (3.9±1.1), and (5.4±1.1) months, respectively. The VAS score at 1 year postoperatively was significantly lower than preoperative one ( t=-10.678, P<0.001). At 1 year postoperatively, 69 patients (90.8%) showed no complication such as infection, fracture, prosthesis displacement, or breakage, and X-ray films indicated good integration at the prosthesis-bone interface. According to the Paley scoring system for the healing of infectious bone defects, the results were excellent in 37 cases, good in 29 cases, fair in 3 cases, and poor in 7 cases. In the single prostheses group, during the follow-up, there was 1 case each of femoral prostheses fracture, femoral infection, and tibial infection, with a treatment success rate of 94.1% (48/51). In lower limb injury patients, the time of fully bear weight was (5.0±1.0) months. In the flap combined group, during the follow-up, 1 case of tibial fixation prostheses screw fracture occurred, along with 2 cases of recurrent foot infection in diabetic patients and 1 case of tibial infection. The treatment success rate was 84.0% (21/25). The time of fully bear weight in lower limb injury patients was (5.8±1.2) months. The overall infection eradication rate for all patients was 93.4% (71/76). CONCLUSION The use of 3D-printed microporous titanium prostheses, either alone or in combination with flaps, for the treatment of large segmental infectious bone defects in the limbs results in good effectiveness with a low incidence of complications. It is a feasible strategy for the reconstruction of infectious bone defects.
Humans ; Male ; Female ; Middle Aged ; Printing, Three-Dimensional ; Titanium ; Retrospective Studies ; Surgical Flaps ; Adult ; Prosthesis Implantation/methods* ; Plastic Surgery Procedures/methods* ; Treatment Outcome ; Prostheses and Implants ; Bone Diseases, Infectious/surgery* ; Extremities/surgery* ; Prosthesis Design

Bisphenol A (BPA) is an environmental chemical that is widely exposed in human daily life. It has attracted much attention because of its estrogenic effect. Polycystic ovary syndrome (PCOS) is the most common endocrine metabolic disease in women of reproductive age. Its pathogenesis involves the interaction of genetic, environmental and endocrine disorders. In recent years, more and more studies have shown that BPA plays an important role in the occurrence and development of PCOS. BPA promotes the development of PCOS by interfering with insulin sensitivity, immune response and changing ovarian structure and function. In addition, BPA exposure levels are associated with hyperandrogenism, insulin resistance, obesity, dyslipidemia, and decreased ovarian reserve in PCOS patients. This review summarizes the effects of BPA on PCOS in terms of ovarian function, glucose and lipid metabolism, and inflammatory response, so as to provide theoretical basis for clinical intervention and prevention of BPA in the development of PCOS.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Objective:To investigate the short-term clinical efficacy of implantation with a 3D-printed microporous titanium prosthesis in the treatment of large segmental infectious tibial defects.Methods:A retrospective analysis was conducted of the electronic medical records of the 47 patients with large segmental tibial defects who had been treated with 3D-printed microporous titanium prostheses at Department of Orthopaedics, 920th Hospital of Joint Logistics Support Force from January 2019 to February 2024. The cohort included 36 males and 11 females, with an age of (46.2±11.8) years and a mean bone defect length of 12.3 (8.0, 16.8) cm. In the 19 patients complicated with soft tissue defects, the area of soft tissue defects ranged from 10.0 cm × 6.0 cm to 33.0 cm × 10.0 cm. For the 28 patients without soft tissue defects at the lower leg, the bone defects were filled with vancomycin-loaded calcium sulfate bone cement at the first stage; for the 19 patients complicated with soft tissue defects, the soft tissue defects at the lower limb were repaired using an anterolateral thigh flap with vascular anastomosis at the same time when bone defects were filled with vancomycin-loaded calcium sulfate bone cement at the first stage. After infection control at 2 to 8 months after surgery, individualized 3D-printed microporous titanium prostheses were implanted at the second stage to reconstruct the bone defects. Postoperative observations included the patients' first standing time, crutch walking time, full weight-bearing time, osseointegration of the tibial fracture and the prosthesis, and complications during follow-up.Results:The follow-up period for the 47 patients was (34.7±14.3) months. The first standing time was (2.2±0.6) months, crutch walking time (3.8±1.1) months, and full weight-bearing time (5.3±1.2) for this cohort. The evaluation by the Paley's bone healing score resulted in 25 excellent cases, 18 good cases, 1 medium case, and 3 poor cases, giving an excellent and good rate of 91.5% (43/47). One year after operation, the X-ray films showed that the tibial fractures and prostheses were well integrated in the 43 patients. Two patients developed recurrent tibial infection which was responded to replacement of the vancomycin-loaded calcium sulfate spacer. The fixation screws for tibial prosthesis were broken in one patient, but no recurrence of infection was observed after revision. The overall incidence of complications was 6.4% (3/47).Conclusion:In the treatment of large segmental infectious tibial defects, by facilitating rapid functional recovery and ensuring a low incidence of complications, implantation with a 3D-printed microporous titanium prosthesis demonstrates fine short-term clinical efficacy.