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 6 0.40 [standard deviation]) was 23.76% higher than that of the control population (1.08 6 0.08) (P , .0001), while the average SOAM (22.53 6 7.82) was 50.73% higher than that of the control population (14.95 6 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 3 10 27 to 5.63 3 10 23 ; and those for SOAM, 2.42 3 10 212 to 1.57 3 10
23).
Conclusion:Vascular network quantification by using high-spatialresolution 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. Kruse and Ferrara (16), and the design of the prototype imaging transducer has been previously presented by Gessner et al (17). The purpose of this analysis was to test our hypothesis that the morphologies of microvessels could be extracted from US images and used as a quantitative basis for distinguishing healthy from diseased tissue volumes in a rat model.
Materials and Methods
Animal and Contrast Agent PreparationAll animal protocols used in this prospective study were approved by our institutional animal care and use committee. Animals used in this prospective study were female Fischer 344 rats (approximately 250 g, Charles River Laboratories, Durham, NC). A fibrosarcoma tumor model was established through the implantation of a 1-mm 3 sample of tissue in the right flank region of the animals as previously described (18). Animals were imaged after the tumor had grown larger than 0.5 cm ...