Objective To evaluate therapeutic efficacy and safety of recombinant human granulocyte-macrophage colony-stimulating factor (GM-CSF) inhalation in patients with recurrent pulmonarv alveolar proteinosis (PAP). Methods Three cases of recurrent PAP were treated by GM-CSF inhalation after whole lung lavage. The clinical data of the pulmonary function and SpO 2, the clinical symptoms and pulmonary lesions were compared before and after treatment. Results The pulmonary function and manifestations were improved obviously after GM-CSF inhalation. Also the ground-glass opacity was improved in high-resolution CT. The pulmonary function and SpO 2 increased obviously after received GM-CSF inhalation. There were no any adverse reactions in 3 cases. Conclusion GM-CSF inhalation therapy is effective and safe in recurrent PAP, but the long-term effect remains to be seen.
ObjectiveTo investigate the effect of the interval between neoadjuvant chemoradiotherapy (nCRT) and surgery on the clinical outcome of esophageal cancer.MethodsPubMed and EMbase databases from inception to March 2018 were retrieved by computer. A random-effect model was used for all meta-analyses irrespective of heterogeneity. The meta-analysis was performed by RevMan5.3 software. The primary outcomes were operative mortality, incidence of anastomotic leakage, and overall survival; secondary outcomes were pathologic complete remission rate, R0 resection rate, and positive resection margin rate.ResultsA total of 17 studies with 18 173 patients were included. Among them, 13 were original studies with 2 950 patients, and 4 were database-based studies with a total of 15 223 patients. The results showed a significant positive correlation between the interval and operative mortality (Spearman coefficient=0.360, P=0.027). Dose-response meta-analysis revealed that there was a relatively better time window for surgery after nCRT. Further analysis for primary outcomes at different time cut-offs found the following results: (1) when the time cut-off point within 30-70 days, the shorter interval was associated with a reduced operative mortality (7-8 weeks: RR=0.67, 95% CI 0.55-0.81, P<0.05; 30-46 days: RR=0.63, 95%CI 0.47-0.85, P<0.05; 60-70 days: RR=0.64, 95%CI 0.48-0.85, P<0.05); (2) when the time cut-off point within 30-46 days, the shorter interval correlated with a reduced incidence of anastomotic leakage (RR=0.39, 95%CI 0.21-0.72, P<0.05); when the time cut-off point within 7-8 weeks, the shorter interval could achieve a critical-level effect of reducing the incidence of anastomotic leakage (RR=0.73, 95%CI 0.52-1.03, P>0.05); (3) when the time cut-off point within 7-8 weeks, increased interval significantly was associated with the poor overall survival (HR=1.17, 95% CI 1.00-1.36, P<0.05). Secondary outcomes found that the shorter interval could significantly reduce the positive resection margin rate (RR=0.53, 95% CI 0.38-0.75, P<0.05) when time cut-off point within 56-60 days.ConclusionShortening the interval between nCRT and surgery can reduce the operative mortality, the incidence of anastomotic leakage, long-term mortality risk, and positive resection margin rate. It is recommended that surgery should be performed as soon as possible after the patient's physical recovery, preferably no more than 7-8 weeks, which supports the current study recommendation (within 3-8 weeks after nCRT).
Objective To establish a safe, effective, and economic feeder-free culture system which is suitable for the culture of human parthenogenetic embryonic stem cells (hPESCs) in vitro. Methods hPESCs were cultured with mTeSRTMl medium (control group) and human foreskin fibroblasts-conditional medium (hFFs-CM) (experimental group). The growth status of hPESCs in both feeder-free culture systems were observed with inverted microscope. Alkaline phosphatase (ALP) analysis and karyotype analysis were used to study the biological characteristics of hPESCs. The expression of hPESCs pluripotent marker Oct-4 was analyzed by RT-PCR. Differentiation experiment in vivo and in vitro was applied to observe the differentiation potential of hPESCs into three germ layers. Results hPESCs had regular morphology with difficulty in differentiation in both culture systems. No obvious difference was observed in morphology and expansion speed of hPESCs between 2 groups. After subcultured for 15 passages in vitro, hPESCs in 2 groups could maintain normal female diploid karyotype 46, XX and pluripotency. The expression of Oct-4 mRNA was positive in 2 groups. hPESCs in 2 groups could form embryonic body in differentiation experiment in vitro and could develop into teratomas containing three germ layers in nude mice. Conclusion Feeder-free culture system of hFFs-CM can sustain the growth of hPESCs and keep hPESCs undifferentiated state for long. A feeder-free culture system of hPESCs is successfully established, which can support the growth of hPESCs, reduce the contamination from animals, decrease the cost of culture, and satisfy the clinical large-scale application.
ObjectiveTo evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological typing of pulmonary nodules, and to summarize clinical application experience. MethodsA retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological typing of pulmonary nodules. ResultsIn the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate analysis showed that age, nodule type (subsolid pulmonary nodule), average density, burr sign, and vascular convergence sign were independent risk factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), burr sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The AUC value of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological typing were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians' prediction of lung nodule pathological typing indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50%, respectively. ConclusionThis AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological typing of lung nodules, especially in predicting lung nodule pathological typing, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.