Mapping Microvasculature with Acoustic Angiography Yields Quantifiable Differences between Healthy and Tumor-bearing Tissue Volumes in a Rodent Model
Mapping Microvasculature with Acoustic Angiography Yields Quantifiable Differences between Healthy and Tumor-bearing Tissue Volumes in a Rodent Model
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DOI：
10.1148/radiol.12112000
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发表时间：
2012-09-01
期刊：
影响因子：
19.7
通讯作者：
Dayton, Paul A.
中科院分区：
文献类型：
--
作者：
Gessner, Ryan C.;Aylward, Stephen R.;Dayton, Paul A.
目的：为了确定是否可以从对比材料增强声学血管造影超声（US）图像中提取微血管的形态，并将其用作区分健康与患病tissue.Materials和方法的定量依据：所有研究均经机构动物护理和使用委员会批准。在健康（n = 7）和荷瘤（n = 10）大鼠中采集三维对比增强声学血管造影图像。通过使用原型双频US换能器（以4 MHz发射，以30 MHz接收）实现高空间分辨率和高信噪比采集。利用分割算法从图像数据中提取微血管结构，并将用于区分不同类型迂曲的距离度量（DM）和角度之和度量（SOAM）应用于图像数据。从荷瘤组织体积中提取的血管群体进行了比较，从健康对照动物的相同解剖位置的组织体积中提取的血管，通过使用双侧Student t检验。肿瘤人群的平均DM（1.34 ± 0.40 [标准差]）比对照群体高23.76%（1.08 +/- 0.08）（P < .0001），而平均SOAM（22.53 +/- 7.82）比对照人群（14.95 +/- 4.83）高50.73%（P < .0001）。当合并两个动物群体之间的所有血管时，对照和肿瘤群体的DM和SOAM指标显著不同。此外，肿瘤群体中的每只动物相对于对照群体具有显著不同的DM和SOAM指标（所有P <0.05; DM的P值范围为3.89 x 10（-7）至5.63 x 10（-3）; SOAM的P值范围为2.42 x 10（-12）至1.57 x 10（-3））。通过使用高空间分辨率的声学血管造影图像的血管网络量化是可行的。数据表明，在所研究的模型中，与肿瘤发展相关的血管生成过程导致肿瘤部位附近的血管迂曲度较高。(C)RSNA，2012年
Purpose: To determine if the morphologies of microvessels could be extracted from contrast material-enhanced acoustic angiographic ultrasonographic (US) images and used as a quantitative basis for distinguishing healthy from diseased tissue.Materials and Methods: All studies were institutional animal care and use committee approved. Three-dimensional contrast-enhanced acoustic angiographic images were acquired in both healthy (n = 7) and tumor-bearing (n = 10) rats. High-spatial-resolution and high signal-to-noise acquisition was enabled by using a prototype dual-frequency US transducer (transmit at 4 MHz, receive at 30 MHz). A segmentation algorithm was utilized to extract microvessel structure from image data, and the distance metric (DM) and the sum of angles metric (SOAM), designed to distinguish different types of tortuosity, were applied to image data. The vessel populations extracted from tumor-bearing tissue volumes were compared against vessels extracted from tissue volumes in the same anatomic location within healthy control animals by using the two-sided Student t test.Results: Metrics of microvascular tortuosity were significantly higher in the tumor population. The average DM of the tumor population (1.34 +/- 0.40 [standard deviation]) was 23.76% higher than that of the control population (1.08 +/- 0.08) (P < .0001), while the average SOAM (22.53 +/- 7.82) was 50.73% higher than that of the control population (14.95 +/- 4.83) (P < .0001). The DM and SOAM metrics for the control and tumor populations were significantly different when all vessels were pooled between the two animal populations. In addition, each animal in the tumor population had significantly different DM and SOAM metrics relative to the control population (P < .05 for all; P value ranges for DM, 3.89 x 10(-7) to 5.63 x 10(-3); and those for SOAM, 2.42 x 10(-12) to 1.57 x 10(-3)).Conclusion: Vascular network quantification by using high-spatial-resolution acoustic angiographic images is feasible. Data suggest that the angiogenic processes associated with tumor development in the models studied result in higher instances of vessel tortuosity near the tumor site. (C) RSNA, 2012