Harpold Hana L P, Alvord Ellsworth C, Swanson Kristin R
Department of Pathology, University of Washington, Seattle, Washington, USA.
J Neuropathol Exp Neurol. 2007 Jan;66(1):1-9. doi: 10.1097/nen.0b013e31802d9000.
Gliomas are well known for their potential for aggressive proliferation as well as their diffuse invasion of the normal-appearing parenchyma peripheral to the bulk lesion. This review presents a history of the use of mathematical modeling in the study of the proliferative-invasive growth of gliomas, illustrating the progress made in understanding the in vivo dynamics of invasion and proliferation of tumor cells. Mathematical modeling is based on a sequence of observation, speculation, development of hypotheses to be tested, and comparisons between theory and reality. These mathematical investigations, iteratively compared with experimental and clinical work, demonstrate the essential relationship between experimental and theoretical approaches. Together, these efforts have extended our knowledge and insight into in vivo brain tumor growth dynamics that should enhance current diagnoses and treatments.
胶质瘤以其侵袭性增殖的潜力以及对大块病变周围外观正常的实质组织的弥漫性浸润而闻名。本综述介绍了数学建模在胶质瘤增殖侵袭性生长研究中的应用历史,阐述了在理解肿瘤细胞侵袭和增殖的体内动力学方面所取得的进展。数学建模基于一系列观察、推测、待检验假设的提出以及理论与现实之间的比较。这些数学研究与实验和临床工作反复比较,证明了实验方法和理论方法之间的本质关系。这些努力共同扩展了我们对脑肿瘤体内生长动力学的认识和见解,有望改善当前的诊断和治疗方法。