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The Diagnostic Value of Fecal Fusobacterium nucleatum Combined with FIT and CA199 in the Diagnosis of Colorectal Cancer
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作者 Tianhong Jia Yang Yu +3 位作者 Yan Wang Ming Li shuzhuo liu Wei Li 《Proceedings of Anticancer Research》 2023年第4期64-70,共7页
Objective:To analyze the diagnostic value of fecal Fusobacterium nucleatum detection,fecal immunochemical test(FIT),and carbohydrate antigen 19-9(CA19-9)detection for colorectal cancer(CRC).Method:Atotal of 78 CRC pat... Objective:To analyze the diagnostic value of fecal Fusobacterium nucleatum detection,fecal immunochemical test(FIT),and carbohydrate antigen 19-9(CA19-9)detection for colorectal cancer(CRC).Method:Atotal of 78 CRC patients and 60 healthy individuals were enrolled in this study.Stool and blood samples were collected for the 3 diagnoses,and ROC curves were analyzed for diagnostic value.Result:The 3 diagnoses’positive detection rates in CRC samples were significantly higher than those of healthy samples(P<0.05).The combined CRC diagnoses showed significantly higher sensitivity as compared to individual fecal F.nucleatum detection(χ^(2)=6.495,P=0.011),FIT(χ^(2)=4.871,P=0.027),and serum CA19-9 detection(χ^(2)=7.371,P=0.007).The area under the ROC curve for fecal F.nucleatum detection was 0.63[95%confidence interval(CI)=1.124–6.238],with a sensitivity of 73.08%and specificity of 85.00%,whereas FIT was 0.65(95%CI=1.365–9.241),with a sensitivity of 51.28%and specificity of 96.67%,meanwhile,serum CA19-9 detection was 0.62(95%CI=1.517–12.342),with a sensitivity of 69.23%and specificity of 98.33%.The combined CRC diagnoses showed an area under the ROC curve of 0.76(95%CI=1.213–6.254),with a sensitivity of 87.18%and specificity of 70.00%.Conclusion:The combined diagnoses of fecal F.nucleatum detection,FIT,and serum CA19-9 detection can significantly improve the sensitivity and accuracy of CRC diagnosis,which has high clinical application value to provide guidance for clinical CRC screening and early intervention treatment. 展开更多
关键词 Fecal Fusobacterium nucleatum Fecal immunochemical test Carbohydrate antigen 19-9 Colorectal cancer
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Face stability analysis of large shield-driven tunnel in rock-soil interface composite formations
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作者 Xiaobin Ding Kang Li +1 位作者 Yuxuan Xie shuzhuo liu 《Underground Space》 SCIE EI 2022年第6期1021-1035,共15页
A new 3D log-spiral model(LS-M model)is proposed to determine the minimal support pressure on the tunnel face of a large shielddriven tunnel in rock-soil interface(RSI)composite formations.In the proposed LS-M model,w... A new 3D log-spiral model(LS-M model)is proposed to determine the minimal support pressure on the tunnel face of a large shielddriven tunnel in rock-soil interface(RSI)composite formations.In the proposed LS-M model,we define the RSI angle ω and use a new approach to calculate the equivalent tunnel face area,which provides a collapse zone with more realistic geometry than the traditional wedge model.And it has acceptable accuracy with simpler implementation than limit equilibrium analysis.Comparing with previous studies and 3D numerical analysis,it indicates that:(i)the LS-M results agree well with others in full-soil formations on the variation patterns of minimum support pressure and stability coefficients N_(c) and N_(γ);(ii)the critical RSI angle ω_(cr),which is predominantly influenced by soil cohesion,increases with the soil property values;(iii)the limit support pressure starts to increase with ω only when ω>ω_(cr);(iv)the peak support pressure occurs at lower C/D with a lower ω;(v)ω can only affect stability coefficients N_(c) and N_(γ) when ω and the friction angle are relatively small,while N_(s) is substantially influenced by RSI angle ω. 展开更多
关键词 TUNNEL STABILITY Limit support pressure RSI composite formations 3D failure mechanism
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