ABSTRACT
Objective To discuss the diagnostic accuracy of 2B-mode feature model in grading the degree of hepatic fibrosis compared to acoustic radiation force impulse (ARFI) and liver biopsy.Methods A total of 140 patients was enrolled in the study and divided into four groups (F1-F4) according to pathological grading using METAVIR scores system,and 47 healthy volunteers were enrolled as the control group (F0) at random.All of subjects underwent standard ultrasound examination and acoustic radiation force impulse (ARFI).Ultrasound raw images were obtained and analyzed with 2B-mode feature intelligent model and then compared to the value of liver stiffness (ARFI).Results The area under the receiver operating characteristic (ROC) curve of grading of liver fibrosis (F2) using 2B-mode feature intelligent model was training =0.973 2,and testing =0.751 1,which was superior to the area under the ROC curve (F2) using ARFI with training =0.840 1,and testing =0.656 4.Conclusions 2B-mode feature intelligent model could be used for grading of liver fibrosis in patients with chronic hepatitis B (CHB).There is great potential in the quantitative diagnosis of liver fibrosis stage using 2B-mode ultrasound.
ABSTRACT
Objective To quantitatively analyze myocardial function and the degree of myocardial ischemia with strain rate imaging (SRI). Methods SRI was performed in 34 patients with left anterior descending coronary artery disease diagnosed with coronary angiography and compared with 35 healthy volunteers. Isovolumic relaxation strain rates (SRivr) of anterior wall and anterior septal were measured. Results There was no significant cut-off value for LAD＜50%. A cut-off value of SRivr=-0.42 s~(-1) (sensitivity 84.85%, specificity 80.36%) for LAD 50%-74% stenosis. A cut-off value of SRivr=-0.91 s-1 (sensitivity 91.07%, specificity 89.91%) for LAD＞75% stenosis. Conclusion SRivr can quantitatively differentiate LAD 50%-74% or LAD＞75% stenosis. SRI can evaluate the coronary stenosis extent quantitatively.