ABSTRACT
Objective To identify anal canal structures by dual plane transrectal ultrasound. Methods One anorectal specimen was observed by ultrasonography when needles were placed in different anal muscle layers respectively. Fifty patients with no anorectal or perianal diseases were examined by transrectal ultrasound to verify the sonographic features of anal canal, meanwhile the inner and outer sphincters and longitudinal combination muscle were measured. The ultrasound images of anal canal were compared with MR images. Fifty patients were divided into three groups according to the age: 25- 40 years old, 41 -55 years old,and ＞55 years old. Results The sonographic features of anal canal structures by transrectal ultrasound were identified. Anal canal sonographic images and MR images had consistency. The thickness of inner sphincter in each group was (0.19 ± 0.03)cm, (0.22 ± 0.02)cm, (0.24 ± 0.03)cm respectively,while outer sphincter (0.44 ± 0.03)cm, (0.49 ± 0.04)cm, (0.52 ± 0.04)cm, and longitudinal combination muscle (0.10±0.02)cm,(0.11 ± 0.02)cm,(0.11 ± 0.02)cm. Conclusions Transrectal ultrasound is a simple,efficient and non-invasive method to examine anal canal which can identify anal canal structures clearly.
ABSTRACT
Objective To explore the value of the ultrasound contrast agent in conjunction with advanced contrast imaging techniques in the evaluation of the renal cortical perfusion. Methods The animal model was established with ligating renal artery to cause the renal cortical perfusion decrease of rabbits. Real-time harmonic gray scale imaging was performed to visualize the contrast enhancement of the renal cortex. After bolus injection of contrast agent SonoVue, dynamic image was observed and recorded during the first three minutes. According to the time-intensity curve (TIC), accelerating time (AT),Peak intensity (A), time to half of peak intensity (T), difference between peak and base (PBD), slope rate of the curve (β) and the product of A and β (A·β) were obtained before and after the renal artery operation. The t test and correlation analysis was used to examine the above parameters. Results Before the renal artery operation, renal cortex enhanced rapidly and obviously, the way of the enhancement was renal artery-cortex-pyramids. After ligation of renal artery, AT prolonged evidently (P<0.001), A decreased obviously (P<0.001), T obviously shortened (P<0.001), PBD decreased markedly (P<0.001), while the decline of βinduced (P<0.002) and A·βobvious dropped(P<0.001). AT, BPD and A·βcorrelated with stenosis level of renal artery. Compared with 31%－69% group, AT prolonged evidently (P<0.001). A decreased obviously (P<0.029), PBD decreased obviously (P<0.001), A·β was dropped markedly (P<0.02) in 70%-93% stenosis group. Conclusions Contrast agent combining with developed contrast specific imaging is able to detect changes of renal cortical microcirculation sensitively with the help of analysis of TIC.
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Objective To observe and measure the Doppler sonographic features of benign and malignant ovarian neoplasms,which included morphology and hemodynamics of tumor angiogenesis,and to select the most significant features. Methods Ninety-five patients with one hundred and five ovarian tumors were examined preoperatively by power Doppler sonography to observe the morphology of tumor angiogenesis. The hemodynamic features of tumor angiogenesis referred for pulsed Doppler sonography evaluation were measured,which included peak systolic velocity(V PS ),end diastolic velocity(V ED ),mean flow velocity(V M),pulsatility index(PI),resistance index(RI) and diastolic notch. To assess the variables jointly,stepwise regression analysis was used to identify the group of features that allowed the best prediction of benignity versus malignancy. Results All Doppler features significantly associated with malignancy .The ROC curve of RI revealed that the cutoff of RI( 0.51 ) with the highest accuracy had a sensitivity of 98.0 % and specificity of 96.2 %.Conclusions RI was most significantly associated with malignancy. The combination of RI and gray-scale sonography can maximize the ability to discriminate between benign and malignant ovarian tumors.