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Objective To explore the value of radiomics in differential diagnosis of small cell lung cancer(SCLC)and non-small cell lung cancer(NSCLC).Methods Literature on the differential diagnosis of SCLC and NSCLC using radiomics was searched in Chinese and English databases.After literature screening and data extraction,Meta-DiSc1.4 and State16.0 SE software were used for analysis.Results A total of 910 patients were included in 8 studies.Meta-analysis results showed that the radiomics differential diag-nosis of SCLC and NSCLC had high co-sensitivity(Sen)and specificity(Spe),0.87[95%confidence interval(CI)0.83-0.91]and 0.88(95%CI 0.85-0.90),respectively.Meta-regression analysis showed that heterogeneity was not caused by feature extraction software type,joint machine learning,image pattern,brain metastasis,and sample size.Publication bias results didn't show any sig-nificant publication bias.Conclusion The radiomics method can differentiate and diagnose SCLC from NSCLC more accurately.When Matlab software is used to extract MRI image features combined with machine learning,and the sample size is large enough,the radiomics can differentiate and diagnose SCLC from NSCLC more accurately.
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OBJECTIVE：To preliminarily study the antitumor mechanism of Periplaneta americana extract C Ⅱ-3 on MFC tumor-bearing mice. METHODS ：Balb/c mice were randomly divided into model group （normal saline 20 mL/kg）and C Ⅱ-3 group （200 mg/kg），with 6 mice in each group. MFC cell suspension （0.2 mL）was injected under the right armpit of mice. On the next day，mice were given relevant medicine intragastrically ，once a day ，for consecutive 10 d. 24 h after the last administration ，Based on the measurement of tumor size ， 1H-NMR technology combined with unsupervised PCA ，supervised PLS-DA and OPLS-DA were used to compare metabolic spectrum of liver tissue from tumor-bearing mice of 2 groups，to analyze differential metabolites and to explore the potential antitumor mechanis m of C Ⅱ -3. RESULTS ：Compared with model group ，the tumor body was significantly reduced in tumor-bearing mice of C Ⅱ-3 group. There were differences in 1H-NMR spectra between the 2 No.81960712）； groups. According to unsupervised PCA ，supervised PLS-DA and OPLS-DA ，totally six potential differential metabolites ，as glycogen （increased），pyruvate （decreased），arginine （de- creased），hydroxyproline （increased），inosine （increased） and niacinamide （increased），were identified in the liver tissue，which were mainly attributed to the metabolism of arginine ，energy and nucleic acid. CONCLUSIONS：The anti tumor effect of C Ⅱ-3 may be related to the regulation of arginine metabolism ，energy metabolism and nucleic acid metabolism.