Objective To evaluate the efficacy and safety of intraoperative pleural irrigation with Nocardia rubra cell-wall skeleton (N-CWS) for reducing pleural effusion drainage after radical surgery for lung cancer. Methods A retrospective analysis was conducted on the clinical data of lung cancer patients who underwent lobectomy and mediastinal lymph node dissection at the First Affiliated Hospital of Xiamen University between December 2024 and May 2025. Patients were divided into a control group and an irrigation group based on the intraoperative use of N-CWS. Patients in the irrigation group received pleural irrigation with 800 μg of N-CWS diluted in 10 mL of normal saline. The following outcomes were compared between the two groups: pleural effusion drainage volume at 0-24 h, 24-48 h, and 48-72 h postoperatively, degree of air leak, chest tube duration, postoperative length of stay, and the incidence of adverse events (fever, chest pain, and nausea and vomiting). Results A total of 245 patients were included (97 males, 148 females) with a mean age of (61.28±6.26) years, with 205 in the control group and 40 in the irrigation group. Compared to the control group, the irrigation group showed significantly lower pleural effusion drainage volumes at 0-24 h, 24-48 h, and 48-72 h, as well as shorter chest tube duration and postoperative length of stay (all P<0.05). There was no statistical difference in the degree of postoperative air leak (P=0.661). No significant differences were observed between the two groups regarding the highest body temperature within 72 h post-surgery (P=0.130), fever grade (P=0.196), severity of chest pain (P=0.105), or the incidence of nausea and vomiting (P=0.376). Conclusion Intraoperative pleural irrigation with N-CWS in patients undergoing lobectomy and mediastinal lymph node dissection for lung cancer can significantly reduce postoperative pleural effusion drainage volume, shorten chest tube duration and length of hospital stay. The procedure is safe and feasible.

Objective To discuss the main pathological types and imaging characteristics of pulmonary nodules that are highly suspected to be malignant in clinical practice but are pathologically confirmed to be benign. Methods A retrospective analysis was performed on the clinical data of patients with pulmonary nodules who were initially highly suspected of malignancy but were subsequently pathologically confirmed to be benign. These patients were treated at the First Affiliated Hospital of Xiamen University from December 2020 to April 2023. Based on the outcomes of preoperative discussions, the patients were categorized into a benign group and a suspicious malignancy group. The clinical data and imaging characteristics of both groups were compared. Results A total of 232 patients were included in the study, comprising 112 males and 120 females, with a mean age of (50.7±12.0) years. Among these, 127 patients were classified into the benign group, while 105 patients were categorized into the suspicious malignancy group. No statistically significant differences were observed between the two groups regarding age, gender, symptoms, smoking history, or tumor history (P>0.05). However, significant differences were noted in nodule density, CT values, margins, shapes, and malignant signs (P＜0.05). Further analysis revealed that in the suspicious malignancy group, solid nodules were predominantly characterized by collagen nodules and fibrous tissue hyperplasia (33.3%), followed by tuberculosis (20.4%) and fungal infections (18.5%). In contrast, non-solid nodules were primarily composed of collagen nodules and fibrous tissue hyperplasia (41.2%) and atypical adenomatous hyperplasia (17.7%). Conclusion Benign pulmonary nodules that are suspected to be malignant are pathologically characterized by the presence of collagen nodules, fibrous tissue hyperplasia, tuberculosis, atypical adenomatous hyperplasia, and fungal infections. Radiologically, these nodules typically present as non-solid lesions and may exhibit features suggestive of malignancy, including spiculation, lobulation, cavitation, and pleural retraction.

BACKGROUND: Telesurgery has the potential to overcome spatial limitations for surgeons, which depends on surgical robot and the quality of network communication. However, the influence of network latency and bandwidth on telesurgery is not well understood. METHODS: A telesurgery system capable of dynamically adjusting image compression ratios in response to bandwidth changes was established between Beijing and Sanya (Hainan province), covering a distance of 3000 km. In total, 108 animal operations, including 12 surgical procedures, were performed. Total latency ranging from 170 ms to 320 ms and bandwidth from 15-20 Mbps to less than 1 Mbps were explored using designed surgical tasks and hemostasis models for renal vein and internal iliac artery rupture bleeding. Network latency, jitter, frame loss, and bit rate code were systemically measured during these operations. National Aeronautics and Space Administration Task Load Index (NASA-TLX) and a self-designed scale measured the workload and subjective perception of surgeons. RESULTS: All 108 animal telesurgeries, conducted from January 2023 to June 2023, were performed effectively over a total duration of 3866 min. The operations were completed with latency up to 320 ms and bandwidths as low as 1-5 Mbps. Hemostasis for vein and artery rupture bleeding models was effectively achieved under these low bandwidth conditions. The NASA-TLX results indicated that latency significantly impacted surgical performance more than bandwidth and image clarity reductions. CONCLUSIONS This telesurgery system demonstrated safety and reliability. A total of 320 ms latency is acceptable for telesurgery operations. Reducing image clarity can effectively mitigate the potential latency increase caused by decreased bandwidth, offering a new method to reduce the impact of latency on telesurgery.
Animals ; Robotic Surgical Procedures/methods* ; Laparoscopy/methods*

BACKGROUND: Meningeal metastasis (MM) is a form of malignant metastasis where tumor cells spread from the primary site to the pia mater, dura mater, arachnoid, subarachnoid space, and other cerebrospinal fluid compartments. Lung cancer is one of the most common malignant tumor types with MM. MM not only signifies that the lung cancer has progressed to an advanced stage but also leads to a range of severe clinical symptoms due to meningeal involvement. Currently, the risk factors associated with the development of MM are not fully elucidated. The aim of this study was to investigate the risk factors for MM in patients with lung adenocarcinoma (LUAD) who underwent non-surgical interventions, in order to identify LUAD patients at high risk for MM. METHODS: This retrospective study analyzed the clinical data of patients diagnosed with LUAD at the First Affiliated Hospital of Zhengzhou University from January 2020 to July 2024. Missing data were imputed using multiple imputation methods, and risk factors were identified through LASSO, univariate, and multivariate Logistic regression analyses. RESULTS: A total of 170 patients with LUAD were included in this study and divided into two groups: 87 patients with MM and 83 patients without MM. Univariate and multivariate Logistic regression analyses revealed that younger age at diagnosis (P=0.004), presence of the epidermal growth factor receptor (EGFR) L858R gene mutation (P=0.008), and concurrent liver metastasis at baseline (P=0.004) were independent risk factors for developing MM in LUAD patients who did not undergo surgical intervention. Conversely, higher baseline globulin levels (P=0.039) and the presence of the anaplastic lymphoma kinase (ALK) gene mutation (P=0.040) were associated with a reduced risk of MM development. CONCLUSIONS Age at diagnosis, EGFR L858R mutation status, ALK gene mutation status, concurrent liver metastasis, globulin levels at baseline were significantly associated with the risk of developing MM in patients with LUAD patients who did not undergo surgical intervention. For patients diagnosed at a younger age, carrying the EGFR L858R mutation, or presenting with baseline liver metastasis, early implementation of tertiary prevention strategies for MM is crucial. Regular monitoring of MM status should be conducted in these high-risk groups.
Humans ; Male ; Adenocarcinoma of Lung/therapy* ; Female ; Middle Aged ; Risk Factors ; Lung Neoplasms/therapy* ; Retrospective Studies ; Aged ; Meningeal Neoplasms/genetics* ; Adult

Objective To explore the clinical application value of simple artery occlusion (SAO) in revealing intersegmental planes during thoracoscopic pulmonary segmentectomy. Methods A retrospective analysis was conducted on the clinical data of patients who underwent thoracoscopic pulmonary segmentectomy at the First Affiliated Hospital of Xiamen University from February 2022 to December 2023. Patients were divided into a conventional group and a SAO group based on the method used to reveal the intersegmental plane during surgery. The two groups were compared in terms of intraoperative blood loss, operation time, postoperative drainage volume, time to intubation, postoperative pulmonary air leakage, and conversion to open thoracotomy rate. Results A total of 318 patients were included. There were 181 patients in the conventional group, including 86 males and 95 females, with an average age (53.35±9.20) years, and there were 137 patients in the SAO group, including 58 males and 79 females, with an average age (55.26±11.46) years. There were no statistical differences in general patient information between the two groups (P>0.05). The SAO group had less intraoperative blood loss [MD=17.568, 95%CI (9.968, 25.168), P<0.001] and postoperative drainage volume [MD=275.587, 95%CI (188.999, 362.175), P<0.001], shorter drainage tube duration [MD=1.000, 95%CI (1.000, 2.000), P<0.001] and operation time [MD=20.709, 95%CI (16.258, 25.159), P<0.001]. The incidence of postoperative pulmonary air leakage complications in the SAO group was lower than that in the conventional group [RR=0.361, 95%CI (0.181, 0.722), P=0.003]. Conclusion SAO can reduce surgical difficulty, shorten operation time, decrease the incidence of postoperative pulmonary air leakage, and enhance the safety of anatomical pulmonary segmentectomy, making it worthy of clinical promotion and application.

Single-molecule immunoassay technology represents an ultrasensitive immunoassay method that enables the resolution and detection of individual biomolecules at the nanoscale. This article highlights various representative techniques and clinical applications of single-molecule immunoassay technology, while also discussing the current challenges and future development directions. Through multiple optimizations at both the technical and commercial levels, single-molecule immunoassay technology exhibits unique advantages in real-time detection, disease diagnosis and treatment, and medical research. This technology is poised to contribute to the advancement of precision medicine by integrating individualized detection methods into clinical practice.

Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Following the rapid advancement of artificial intelligence technologies, especially the development of large language models like ChatGPT, the field of medical clinical practice is undergoing an unprecedented technological revolution. These advanced technologies, through efficient processing and analysis of large datasets, not only provide medical professionals with auxiliary diagnoses and treatment suggestions but also significantly enhance the quality and efficiency of medical education. This study conducts a comprehensive analysis and review of the applications of large language models in various aspects, including clinical inquiry, history collection, medical literature writing, clinical decision support, optimization of medical portal websites, patient health management, medical education, academic research, and scientific writing. However, the application of these technologies is not without flaws and presents several limitations and ethical challenges. This paper focuses on challenges related to technological errors, academic dishonesty, abuse risks, over-reliance, possibilities of misdiagnosis and treatment errors, and issues of accountability. In conclusion, large language models demonstrate tremendous potential in the integration and advancement of medical practices. Nevertheless, while fully harnessing the benefits brought by ChatGPT, it is essential to acknowledge and address these ethical challenges to ensure that the application of ChatGPT in the medical field is responsible and effective.

Objective:Laboratory evaluation of the relationship between cerebrospinal fluid and plasma indicators and intrathecal immunoglobulin G(IgG) synthesis in patients with neurological diseases, and establishment of a new diagnostic method for intrathecal IgG synthesis.Methods:This study retrospectively analyzed the content of IgG in cerebrospinal fluid samples and blood albumin in blood samples, and other test results of 410 patients with neurological diseases who visited Beijing Tiantan Hospital from 2019 to 2022. According to the results of oligoclonal bands in cerebrospinal fluid, patients were divided into intrathecal IgG synthesis group and non-intrathecal IgG synthesis group. The Mann Whitney U test was used for inter group comparison, and a bilateral test with P<0.05 indicates a statistically significant difference. Include indicators with differences between groups in logistic regression analysis, construct a predictive model, and compare it with the established quantitative formula IgG index. Results:There were significant differences in 10 indicators, including cerebrospinal fluid leukocyte count and 24-hour intrathecal IgG synthesis rate, between the intrathecal IgG synthesis group and the non-intrathecal IgG synthesis group, with P<0.05. The area under the curve (AUC) of intrathecal IgG synthesis was higher than the IgG index (AUC=0.920, 0.809, Z=31.178, P<0.001), the sensitivity was higher than the IgG index (0.825, 0.618), and the specificity was lower than the IgG index (0.876, 0.908). Conclusion:The combination of 10 indicators such as cerebrospinal fluid white blood cell count and 24-hour intrathecal IgG synthesis rate can improve the diagnostic efficacy and sensitivity of intrathecal IgG synthesis.

Single-molecule immunoassay technology represents an ultrasensitive immunoassay method that enables the resolution and detection of individual biomolecules at the nanoscale. This article highlights various representative techniques and clinical applications of single-molecule immunoassay technology, while also discussing the current challenges and future development directions. Through multiple optimizations at both the technical and commercial levels, single-molecule immunoassay technology exhibits unique advantages in real-time detection, disease diagnosis and treatment, and medical research. This technology is poised to contribute to the advancement of precision medicine by integrating individualized detection methods into clinical practice.