生成微血管结构的计算模型:超越医学成像分辨率的研究。

IF 4.6 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL WIREs Mechanisms of Disease Pub Date : 2023-01-01 DOI:10.1002/wsbm.1579
Cameron Apeldoorn, Soroush Safaei, Julian Paton, Gonzalo D Maso Talou
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引用次数: 3

摘要

血管生成、动脉生成和剪枝是血管再生过程中必不可少的自然血管发育和适应过程,也是肿瘤生长和中风恢复等病理发生和发展的核心参与者。计算建模允许对这些复杂的生物过程进行可重复的实验和探索。在这篇综述中,我们介绍了对发芽血管生成、肠套管血管生成、吻合、修剪和动脉生成等血管适应过程的生物学理解,并讨论了对这些过程的计算建模做出的一些更重要的贡献。每个计算模型都代表了生物学如何运作的理论框架,随着计算能力的提高和对问题的研究,这些框架变得更加准确和完整。我们强调了可以从这些模型的进步中受益的生理、病理和技术应用,并且我们还确定了当前最先进的计算模型中未充分探索的生物学要素。本文分类如下:癌症>计算模型心血管疾病>计算模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Computational models for generating microvascular structures: Investigations beyond medical imaging resolution.

Angiogenesis, arteriogenesis, and pruning are revascularization processes essential to our natural vascular development and adaptation, as well as central players in the onset and development of pathologies such as tumoral growth and stroke recovery. Computational modeling allows for repeatable experimentation and exploration of these complex biological processes. In this review, we provide an introduction to the biological understanding of the vascular adaptation processes of sprouting angiogenesis, intussusceptive angiogenesis, anastomosis, pruning, and arteriogenesis, discussing some of the more significant contributions made to the computational modeling of these processes. Each computational model represents a theoretical framework for how biology functions, and with rises in computing power and study of the problem these frameworks become more accurate and complete. We highlight physiological, pathological, and technological applications that can be benefit from the advances performed by these models, and we also identify which elements of the biology are underexplored in the current state-of-the-art computational models. This article is categorized under: Cancer > Computational Models Cardiovascular Diseases > Computational Models.

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来源期刊
WIREs Mechanisms of Disease
WIREs Mechanisms of Disease MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
11.40
自引率
0.00%
发文量
45
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