Precisely evaluating the characteristics of a glioma tumor in vivo is challenging when performing surgical resection clinically. The infiltration characteristics of a tumor make precise resection difficult because of uncertainties about the surrounding vasculature and the relationships with functional structures. Magnetic resonance imaging is routinely used to distinguish the area of a glioma, but it cannot resolve details of the vascular network around or inside the tumor. Ultrasound imaging is a real-time imaging modality that has been applied clinically in intra-operative surgery, and the sensitivity of flow measurements in the brain is improved by ultrafast plane wave imaging. This study applies a plane wave-based power Doppler imaging method to visualize the blood flow distribution in glioma models in vivo. This new imaging method makes it possible to delineate the flow structure of a glioma tumor in the brain of a small animal. The tumor can be distinguished from normal brain tissue, and different sections of the tumor contain different flow structures. The normalized blood flow intensities (mean +/- standard deviation) within regions of interest were 0.33 +/- 0.13, 0.72 +/- 0.15, 0.36 +/- 0.23 and 0.06 +/- 0.07 for the type I normal rat, type I glioma rat, type II normal rat and type II glioma rat, respectively. Quantification analysis verified the feasibility of using this plane wave-based Doppler imaging method to evaluate brain tumors in small animals. (C) 2018 World Federation for Ultrasound in Medicine & Biology. All rights reserved.
[1]Chinese Acad Sci, Shenzhen Inst Adv Technol, Paul C Lauterbur Res Ctr Biomed Imaging, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China;
[2]Shenzhen Key Lab Ultrasound Imaging & Therapy, Shenzhen, Peoples R China;
[3]Fudan Univ, Shanghai Med Coll, Huashan Hosp, Shanghai Pituitary Tumor Ctr, Shanghai, Peoples R China
(8.0+极速模式)