• 1. Department of Biomedical Engineering, College of Materials Science & Engineering, Sichuan University, Chengdu 610065, P.R.China;
  • 2. Department of Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, P.R.China;
ZOU Yuanwen, Email: zyw@scu.edu.cn
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Portal hypertension (PHT) is a common complication of liver cirrhosis, which could be measured by the means of portal vein pressure (PVP). However, there is no report about an effective and reliable way to achieve noninvasive assessment of PVP so far. In this study, firstly, we collected ultrasound images and echo signals of different ultrasound contrast agent (UCA) concentrations and different pressure ranges in a low-pressure environment based on an in vitro simulation device. Then, the amplitudes of the subharmonics in the echo signal were obtained by ultrasound grayscale image construction and fast Fourier transform (FFT). Finally, we analyzed the relationship between subharmonic amplitude (SA) and bionic portal vein pressure (BPVP) through linear regression. As a result, in the pressure range of 7.5–45 mm Hg and 8–20 mm Hg, the linear correlation coefficients (LCC) between SA and BPVP were 0.927 and 0.913 respectively when the UCA concentration was 1∶3 000, and LCC were 0.737 and 0.568 respectively when the UCA concentration was 1∶6 000. Particularly, LCC was increased to 0.968 and 0.916 respectively while the SAs of two UCA concentrations were used as the features of BPVP. Therefore, the results show a good performance on the linear relationship between SA and BPVP, and the LCC will be improved by using SAs obtained at different UCA concentrations as the features of BPVP. The proposed method provides reliable experimental verification for noninvasive evaluation of PVP through SA in clinical practice, which could be a guidance for improving the accuracy of PVP assessment.

Citation: XIANG Heng, YANG Rui, ZOU Yuanwen, LU Qiang, CHEN Ke. Experimental studies for noninvasive assessment of portal vein pressure based on contrast enhanced subharmonic sonographic imaging. Journal of Biomedical Engineering, 2020, 37(6): 1073-1079. doi: 10.7507/1001-5515.202003002 Copy

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