A Biomechanical Model of Tumor-induced Intracranial Pressure and Edema in Brain Tissue

Author:

Sorribes I. C.,Moore M. N. J.,Byrne H. M.,Jain H. V.ORCID

Abstract

AbstractBrain tumor growth and tumor-induced edema result in increased intracranial pressure (ICP), which, in turn, is responsible for conditions as benign as headaches and vomiting, or as severe as seizures, neurological damage, or even death. Therefore, it has been hypothesized that tracking ICP dynamics may offer improved prognostic potential in terms of early detection of brain cancer and better delimitation of the tumor boundary. However, translating such theory into clinical practice remains a challenge, in part, due to an incomplete understanding of how ICP correlates with tumor grade. Here, we propose a multiphase mixture model that describes the biomechanical response of healthy brain tissue – in terms of changes in ICP and edema – to a growing tumor. The model captures ICP dynamics within the diseased brain and accounts for the ability/inability of healthy tissue to compensate for this pressure. We propose parameter regimes that distinguish brain tumors by grade thereby providing critical insight into how ICP dynamics vary by severity of disease. In particular, we offer an explanation for clinically observed phenomena such as lack of symptoms in low grade glioma patients versus a rapid onset of symptoms in those with malignant tumors. Our model also takes into account the effects tumor-derived proteases may have on ICP levels and extent of tumor invasion. This work represents an important first step towards understanding the mechanisms that underlie the onset of edema and ICP in cancer-afflicted brains. Continued modeling effort in this direction has the potential to make an impact in the field of brain cancer diagnostics.

Publisher

Cold Spring Harbor Laboratory

Reference41 articles.

1. Recent advances in the molecular understanding of glioblastoma

2. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

3. A simplified overview of World Health Organization classification update of central nervous system tumors 2016;Journal of neurosciences in rural practice,2017

4. Noone, A. M. , N. Howlader , M. Krapcho , D. Miller , A. Brest , M. Yu , J. Ruhl , Z. Tatalovich , A. Mariotto , D. R. Lewis , and et al., 2018. SEER Cancer Statistics Review (CSR) 1975-2015 Released April 16, 2018. https://seer.cancer.gov/csr/.

5. Histological and demographic characteristics of the distribution of brain and central nervous system tumors’ sizes: results from SEER registries using statistical methods;International journal of biomedical science: IJBS,2012

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3