Font Size: a A A

The Value Of Acoustic Structure Quantification Technology In Grading Liver Fibrosis In Patients With Chronic Hepatitis B

Posted on:2017-03-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y WanFull Text:PDF
GTID:2284330485475070Subject:Medical imaging and nuclear medicine
Abstract/Summary:PDF Full Text Request
Objective Assess the relationship between Acoustic Structure Quantification technology and the grades ofliver fibrosisresultedfrom Chronic Hepatitis B.Materialsand Methods60 healthy volunteers and 90 patients with histological y proven to be chronic hepatitis B virus were examined by B-Mode ultrasound with ASQ software. Col ectted images,selected ROI specifical y in each image. Then analyzed them with ASQ analysis software offline, compared their χ2 histograms, calculated Redave Redmode,Redsd,Blueave,Bluemode,Bluesd,FD Ratio.Compared the corresponding pathologic results of the liver biopsy. After statistical analysis,examined the statistical differences between each parameter of ASQ and grades of pathologic result of liver fibrosis. Evaluated the correlation between ASQ parameters and the pathologic results of liver fibrosis.Then, draw the ROC curves and calculated the cut-off points of each grade.Results1. Red histogram curve and blue histogram curve in the horizontal distribution are more rough, broader, the area under blue curve ismuch larger than the red as with the increased degreeofliverfibrosis2. Redmode shows a statistical difference between each two groups(P<0.01) except for the normal control group and S0-1 and S1 group and S0-1 and S1 group and S1-2 and S2group;Redave shows a statistical difference between each two groups(P<0.05) except for the normal control group and S0-1 and S1 group and S0-1 and S1 group and S1-2 and S2 and S2-3 group; Redsd, Bluemode, Blueave and FD ratio al shows significant differences between the normal control group and S0-1 and S1 and S1-2 and S2 group and S2-3 and S3group(P<0.05).Thereisnosignificantdifferencebetweenanytwogroupsin Bluesd.3. Expect for bluesd,the other six parameters of ASQ are positively correlated to liver fibrosis grade,in which, Redmode(rs=0.853,P<0.05)and Redave(rs=0.686,P<0.05)are most choselycorrelatedtohistologicalfibrosisgrade.4. In ROC curve, S0 VS S1: only the curves of Redmode and Redave are in the upper left corner.The AUCs of each were 0.763 and 0.624. S1 VS S2: Except for the curve of Bluesd,curves of other six parameters were in the upper left corner. S2 VS S3:curves of al parameters are in the upper left corner. The above AUCs are al larger than 0.5, compared with AUC=0.5,statistical significant differences are found between them(P<0.05).The sensitivities and specificities are relatively high.The values of cut-offs are obtained, al of themhavestatisticalsignificance(P<0.05).Conclusion ASQ software is an non-invasive,quantitive technique in grading liver fibrosis.The red and blue curves and χ2histograms obtained by software can provide accurace and convenience to grading liver fibrosis.Furthermore,cut-off values can be obtained by ROC curves,which makes the assessment more precisely.Or even,in the furture,we can make the assess standard available.
Keywords/Search Tags:hepaticfibrosis, hepatitis B chronic, acoustic structure quantification, ultrasonography
PDF Full Text Request
Related items