Literature DB >> 30598192

Evaluation of Brain Tumor in Small Animals Using Plane Wave-Based Power Doppler Imaging.

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.
Copyright © 2018 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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


  1 in total

1.  3D Printing of BaTiO3 Piezoelectric Ceramics for a Focused Ultrasonic Array.

Authors:  Jian Cheng; Yan Chen; Jun-Wei Wu; Xuan-Rong Ji; Shang-Hua Wu
Journal:  Sensors (Basel)       Date:  2019-09-20       Impact factor: 3.576

  1 in total

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