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Objective The study aimed to construct and validate a predictive model for pulmonary nodules(PN)nature based on clinicopa-thological features,imaging,and serum biomarkers,so as to provide scientificdecision-making for early diagnosis and treatment of lung cancer.Methods A retrospective was performed on 816 PN patients with definited pathological diagnosis who received surgical resection analysisor lung biopsy in the Department of Thoracic Surgery and Oncology of Shenzhen Traditional Chinese Medicine Hospital from January 2019 to February 2023.Among them,113 cases that did not meet the inclusion criteria were excluded,and the remaining 703 cases were included in the study.The study based on the clinicopathologic features(age,gender,smoking history,smoking cessation history and family history of cancer),chest imaging(maximum diameter of nodule,location of lesion,clear border,Lobulation,spiculation,vascular convergence sign,vacuole,calcification,air bronchial sign,emphysema,nodule type and pleural indentation,nodule number)and serum carcinoembryonic antigen(CEA),cytokeratin 19 fragment(CYFRA21-1),squamous cell carcinoma antigen(SCCA)in patients with PN.These cases were randomly divided into a modeling group(n=552,237 benign,315 malignant)and a validation group(n=151,85 benign,66 malignant).First,univariate analysis was performed to screen for statistically significant predictors of nodules nature.Then,multivariate regression analysis was performed to screen for independent predictors of nodules nature.Finally,the prediction model of PN nature was constructed by logistic regression analysis.Subsequently,the validation group data were entered into the proposed model and Mayo clinic(Mayo)model,veterans affairs(VA)model,Brock University(Brock)model,Peking University(PKU)model and Guangzhou Medical University(GZMU)model,respectively.PN malignancy probability was calculated.The receiver operating characteristic(ROC)curves were plotted.The diagnostic efficiency of each model was compared according to the area under the curve(AUC).Results There were statistically significant variables including age,family history of cancer,maximum nodule diameter,nodule type,upper lobe of lung,calcification,vascular convergence sign,lobulation,clear border,spiculation,and serum CEA,SCCA,CYFRA21-1 using univariate analysis.Multiple regression analysis showed that age,CEA,clear border,CYFRA21-1,SCCA,upper lobe of lung,maximum nodule diameter,family history of cancer,spiculation and nodule type were independent predictors of PN nature.The prediction model equation constructed in this study is as follows:f(x)= ex/(1+ex),X=(-6.318 8+0.020 8×Age+0.527 4×CEA-0.928 4×clear border+0.294 6×Cyfra21-1+0.294×maximum nodule diameter+1.220 1×family history of cancer +0.573 2×upper lobe of lung +0.064 8×SCCA +1.461 5×Spiculation +1.497 6×nodule type).The AUC(0.799 vs 0.659,0.650)of the proposed model was significantly higher compared with Mayo model and VA model,and there were statistically significant differences(Z=3.029,2.638,P=0.003,0.008).However,compared with Brock model,PKU model and GZMU model,the differences of AUC(0.799 vs 0.762,0.773,0.769)were not statistically significant(Z=1.063,0.686,0.757,P=0.288,0.493,0.449).Conclusion The prediction model for PN nature established in this study is accurate and reliable,which can help clinics with early diagnosis and early intervention,and this prediction model deserves to be popularized.
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Objective:To explore the treatment efficacy of neuroendoscope-assisted exploration and release of the outflow tract of the fourth ventricle in patients with Chiari malformation type I.Methods:Ninety-five patients with Chiari malformation type I, admitted to our hospital from January 2016 to January 2020, were chosen in our study. Patients from observation group ( n=57) were treated with posterior cranial fossa decompression+subdural tonsillectomy+endoscope-assisted exploration and release of the outflow tract of the fourth ventricle+enlarged reconstruction of the occipital cistern. Patients from control group ( n=38) were treated with posterior fossa decompression+subdural tonsillectomy+enlarged reconstruction of the occipital cistern. All patients were followed up for one year. Data of surgical duration, intraoperative blood loss, postoperative length of hospital stay, and incidence of complications were retrospectively analyzed in patients from the two groups, and the imaging changes of spinal cavity were observed before surgery and during postoperative follow-up. Chicago Chiari Outcome Scale (CCOS) was used to evaluate the prognoses of all patients (scores of 11-16 were defined as good prognosis). The differences of good prognosis rate among patients with different gender, age, degrees of tonsillar herniation and distributions of spinal cavity segments were analyzed. Results:There was no significant difference in surgical duration, intraoperative blood loss, postoperative length of hospital stay or incidence of complications between the two groups ( P>0.05). As compared with the control group (65.5%), the observation group had higher syringomyelia minification (75.5%) during postoperative follow-up, without significant difference ( P>0.05). The good prognosis rate of the observation group during postoperative follow-up (91.2%) was significantly higher than that of the control group (78.9%, P<0.05). Female patients, patients with age≤45 years, and patients with tonsillar herniation level below the atlas had significantly higher good prognosis rate than male patients, patients with age>45 years, and patients with tonsillar herniation level between the foramen magnum and the atlas during postoperative follow-up, respectively ( P<0.05). Conclusion:As compared with conventional surgery, neuroendoscope-assisted exploration and release of the outflow tract of the fourth ventricle is more effective in patients with Chiari malformation type I, and the good prognosis rate is likely higher in female patients, patients with age≤45 years, and patients with tonsillar herniation level below the atlas.