论文阅读 [TPAMI-2022] Tracking the Adaptation and Compensation Processes of Patients’ Brain Arterial Network to an Evolving Glioblastoma
论文搜索(studyai.com)
搜索论文: http://www.studyai.com/search/whole-site/?q=Tracking+the+Adaptation+and+Compensation+Processes+of+Patients’+Brain+Arterial+Network+to+an+Evolving+Glioblastoma
关键字(Keywords)
Arteries; Image resolution; Cancer; Blood; Magnetic resonance imaging; Image segmentation; Brain arterial network; adaptation; GBM; patient data; network topology and hemodynamics
机器视觉
检测分割
摘要(Abstract)
The brain’s vascular network dynamically affects its development and core functions.
大脑的血管网络动态地影响其发育和核心功能。.
It rapidly responds to abnormal conditions by adjusting properties of the network, aiding stabilization and regulation of brain activities.
它通过调整网络的特性,快速响应异常情况,帮助稳定和调节大脑活动。.
Tracking prominent arterial changes has clear clinical and surgical advantages.
追踪显著的动脉变化具有明显的临床和外科优势。.
However, the arterial network functions as a system; thus, local changes may imply global compensatory effects that could impact the dynamic progression of a disease.
然而,动脉网络作为一个系统发挥作用;因此,局部变化可能意味着全球代偿效应,可能会影响疾病的动态进展。.
We developed automated personalized system-level analysis methods of the compensatory arterial changes and mean blood flow behavior from a patient’s clinical images.
我们开发了自动个性化系统级分析方法,从患者的临床图像中分析代偿性动脉变化和平均血流行为。.
By applying our approach to data from a patient with aggressive brain cancer compared with healthy individuals, we found unique spatiotemporal patterns of the arterial network that could assist in predicting the evolution of glioblastoma over time.
通过将我们的方法应用于侵袭性脑癌患者与健康人的数据对比,我们发现了独特的动脉网络时空模式,有助于预测胶质母细胞瘤随时间的演变。.
Our personalized approach provides a valuable analysis tool that could augment current clinical assessments of the progression of glioblastoma and other neurological disorders affecting the brain…
我们的个性化方法提供了一个有价值的分析工具,可以增强当前对胶质母细胞瘤和其他影响大脑的神经系统疾病进展的临床评估。。.
作者(Authors)
[‘Junxi Zhu’, ‘Spencer Teolis’, ‘Nadia Biassou’, ‘Amy Tabb’, ‘Pierre-Emmanuel Jabin’, ‘Orit Lavi’]