| Literature DB >> 30598192 |
Jingjing Xia1, Yi Yang1, Chenwenbao Hu1, Rui Meng1, Qiuju Jiang2, Rong Liu2, Yanyan Yu2, Zonghai Sheng2, Fei Yan1, Lijuan Zhang1, Zhifeng Shi3, Hairong Zheng2, Weibao Qiu4.
Abstract
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.Entities:
Keywords: Flow measurement; Glioma; In vivo imaging; Plane wave ultrasound; Power Doppler imaging
Year: 2018 PMID: 30598192 DOI: 10.1016/j.ultrasmedbio.2018.11.001
Source DB: PubMed Journal: Ultrasound Med Biol ISSN: 0301-5629 Impact factor: 2.998