Can monodisperse microbubble-based three-dimensional contrast-enhanced ultrasound reduce quantitative heterogeneity? An in vitro study

被引:1
|
作者
Zheng, Qiao [1 ]
Ruan, Si-Min [2 ]
Zhang, Chun-Yang [2 ]
Cao, Zhong [3 ]
Huang, Ze-Rong [2 ]
Guo, Huan-Ling [2 ]
Xie, Xiao-Yan [2 ]
Lu, Ming-De [2 ,4 ]
Wang, Wei [2 ]
Chen, Li-Da [2 ]
机构
[1] Sun Yat Sen Univ, Fetal Med Ctr, Dept Med Ultrason, Affiliated Hosp 1, Guangzhou, Peoples R China
[2] Sun Yat Sen Univ, Inst Diagnost & Intervent Ultrasound, Dept Med Ultrason, Ultras Artificial Intelligence X Lab,Affiliated H, Guangzhou, Peoples R China
[3] Sun Yat Sen Univ, Sch Engn, Dept Biomed Engn, Guangzhou, Peoples R China
[4] Sun Yat Sen Univ, Dept Hepatobiliary Surg, Affiliated Hosp 1, Guangzhou, Peoples R China
来源
ADVANCES IN CLINICAL AND EXPERIMENTAL MEDICINE | 2022年 / 31卷 / 03期
关键词
ultrasonography; three-dimensional imaging; in vitro technique; contrast agent; MULTICOMPONENT MICROBUBBLES; PERFUSION ANALYSIS; HIGHLY UNIFORM; BLOOD-STREAM; AGENTS; ANGIOGENESIS; DISSOLUTION; VASCULARITY; CERASOME; CEUS;
D O I
10.17219/acem/143585
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background. Heterogeneity within the tumor may cause large heterogeneity in quantitative perfusion parameters. Three-dimensional contrast-enhanced ultrasound (3D-CEUS) can show the spatial relationship of vascular structure after post-acquisition reconstruction and monodisperse bubbles can resonate the ul-trasound pulse, resulting in the increase in sensitivity of CEUS imaging. Objectives. To evaluate whether the combination of 3D-CEUS and monodisperse microbubbles could reduce the heterogeneity of quantitative CEUS. Materials and methods. Three in vitro perfusion models with perfusion volume ratio of 1:2:4 were set up. Both quantitative 2D-CEUS and 3D-CEUS were used to acquire peak intensity (PI) with 2 kinds of ultrasound agents. One was a new kind of monodisperse bubbles produced in this study, named Octafluoropropane-loaded cerasomal microbubbles (OC-MBs), the other was SonoVue (R). The coefficient of variation (CV) was calculated to evaluate the cross-sectional variability. Pearson's correlation analysis was used to assess the cor-relation between weighted PIs (average of PIs of 3 different planes) and perfusion ratios. Results. The average CVs of quantitative 3D-CEUS was slightly lower than that of 2D-CEUS (0.41 +/- 0.17 compared to 0.55 +/- 0.26, p = 0.3592). As for quantitative 3D-CEUS, the PI of the OC-MBs has shown better stability than that of SonoVue (R), but without a significant difference (average CVs: 0.32 +/- 0.19 compared to 0.50 +/- 0.10, p = 0.0711). In the 2D-CEUS condition, the average CVs of OC-MBs group and SonoVue (R) group were 0.68 +/- 0.15 and 0.41 +/- 0.17 (p = 0.2747). As for 3D-CEUS condition, using OC-MBs group and SonoVue (R), the r-values of the weighted PI and perfusion ratio were 0.8685 and 0.5643, respectively, while that of 2D-CEUS condition were 0.7760 and 0.3513, respectively. Conclusions. Our in vitro experiments showed that OC-MBs have the potential in acquiring more stable quantitative CEUS value, as compared to the SonoVue (R) in 3D-CEUS condition. The combination of 3D-CEUS and OC-MBs can reflect perfusion volume more precisely and may be a potential way to reduce quantitative heterogeneity.
引用
收藏
页码:307 / 315
页数:9
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