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BACKGROUND@#Obstructive sleep apnea hypopnea syndrome (OSAHS) is a contributing factor for non-alcoholic fatty liver disease (NAFLD). Non-invasive algorithms including fatty liver index (FLI) and hepatic steatosis index (HSI) have been used as a screening test for NAFLD in epidemiologic studies. The aim of this study is to compare the diagnostic accuracy of FLI and HSI for NAFLD detection in adults with OSAHS.@*METHODS@#We enrolled consecutive adult subjects who were newly diagnosed with OSAHS from March 2016 to January 2018. NAFLD was diagnosed by ultrasonography. The accuracy and cut-off point of the FLI and HSI to detect NAFLD were assessed by analyzing the area under the receiver operating characteristic (AUROC) curve and the maximum Youden index analysis, respectively.@*RESULTS@#The 326 subjects were diagnosed as NAFLD according to ultrasound findings, while 105 subjects who had normal abdominal ultrasonography were grouped as controls. Both FLI and HSI values were significantly higher in patients with NAFLD compared with controls. The AUROC of FLI and HSI for predicting NAFLD was 0.802 (95% confidence interval [CI] 0.762-0.839) and 0.753 (95% CI 0.710-0.793), respectively. The AUROC of FLI was significantly higher than that of HSI (P = 0.0383). The optimal cut-off value of FLI and HSI was 60 (sensitivity 66% and specificity 80%) and 35 (sensitivity 81% and specificity 60%), respectively.@*CONCLUSIONS@#Both FLI and HSI can serve as screening tools for NAFLD in OSAHS adults. The FLI shows better performance in diagnosing NAFLD than HSI.@*TRIAL REGISTRATION@#Chinese Clinical Trial Registry (No. ChiCTR-OOB-15007253), http://www.chictr.org.cn/showproj.aspx?proj=11606.
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Background@#Obstructive sleep apnea hypopnea syndrome (OSAHS) is a contributing factor for non-alcoholic fatty liver disease (NAFLD). Non-invasive algorithms including fatty liver index (FLI) and hepatic steatosis index (HSI) have been used as a screening test for NAFLD in epidemiologic studies. The aim of this study is to compare the diagnostic accuracy of FLI and HSI for NAFLD detection in adults with OSAHS.@*Methods@#We enrolled consecutive adult subjects who were newly diagnosed with OSAHS from March 2016 to January 2018. NAFLD was diagnosed by ultrasonography. The accuracy and cut-off point of the FLI and HSI to detect NAFLD were assessed by analyzing the area under the receiver operating characteristic (AUROC) curve and the maximum Youden index analysis, respectively.@*Results@#The 326 subjects were diagnosed as NAFLD according to ultrasound findings, while 105 subjects who had normal abdominal ultrasonography were grouped as controls. Both FLI and HSI values were significantly higher in patients with NAFLD compared with controls. The AUROC of FLI and HSI for predicting NAFLD was 0.802 (95% confidence interval [CI] 0.762-0.839) and 0.753 (95% CI 0.710-0.793), respectively. The AUROC of FLI was significantly higher than that of HSI (P = 0.0383). The optimal cut-off value of FLI and HSI was 60 (sensitivity 66% and specificity 80%) and 35 (sensitivity 81% and specificity 60%), respectively.@*Conclusions@#Both FLI and HSI can serve as screening tools for NAFLD in OSAHS adults. The FLI shows better performance in diagnosing NAFLD than HSI.@*Trial registration@#Chinese Clinical Trial Registry (No. ChiCTR-OOB-15007253), http://www.chictr.org.cn/showproj.aspx?proj=11606.
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[Objective]To explore the evaluation value of ultrasomics based on contrast-enhanced ultrasound (CEUS)imaging in the therapy response of microRNA-122(miR-122)in hepatocellular carcinoma(HCC).[Method]Mice bearing subcutaneous HCC xenografts were injected intratumorally with microRNA-122 mimics(miR-122 mimics) and negative control mimics(NC mimics)in treatment group(n=6)and control group(n=6),respectively. The injec-tions were performed every 3 days for five times.Before each injection,two-dimension ultrasound(2D-US)imaging was performed.At 24 h after the last injection,2D-US and CEUS images of tumors were acquired,and then mice scarified for tumor miR-122 expression analysis by qRT-PCR.To evaluate the therapy response by RECIST,tumor volumes were mea-sured based on each 2D-US image. To analyze the tumor perfusion by mRECIST,perfusion parameters(maximum of intensity,rise time,time to peak,mean transit time,quality of fit)were analyzed off-line based on dynamic CEUS videos using SonoLiver?software. For ultrasomics,CEUS images at 10,30,60,90 second were used for features extraction, respectively. The corresponding ultrasomics formulas were built to evaluate the therapy response for miR-122.[Result]The tumors treated with miR-122 mimics resulted in a(763±60)folds increase in miR-122 levels compared to the tumors in control group(P<0.05).Effectively therapeutic response evaluated by tumor sizes change was detected after the third injection(P<0.05).For assessment using mRECIST,all the parameters of treatment group did not show significant difference from the ones of control group(P>0.05).Analysis using ultrasomics fail to detect different features of the static images of CEUS at 10 s,and models can be successfully built based on the rest of the three phases of CEUS images.The ultrasomics Scores between control group and treatment group were statistically different(P<0.05).The ultrasomics score at 30s were significantly lower than those at 60 s and 90 s,while there was no statistical difference between scores at 60 s and 90 s.[Conclusion]Ultrasomics analysis based on CEUS imaging is a useful method in evaluating the therapy response of miR-122 in HCC,and showed greater value than dynamic perfusion parameter.