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Surgical Decision Making From Image-Based Biophysical Modeling of Glioblastoma: Not Ready for Primetime

机译:来自胶质母细胞瘤的基于图像的生物物理学建模的外科决策:尚未准备好primetime

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BACKGROUND: Biophysical modeling of glioma is gaining more interest for clinical practice. The most popular model describes aggressivity of tumor cells by two parameters: net proliferation rate (rho) and propensity to migrate (D). The ratio rho/D, which can be estimated from a single preoperative magnetic resonance imaging (MRI), characterizes tumor invasiveness profile (high rho/D: nodular; low rho/D: diffuse). A recent study reported, from a large series of glioblastoma multiforme (GBM) patients, that gross total resection (GTR) would improve survival only in patients with nodular tumors.
机译:背景:胶质瘤的生物物理建模在临床实践中获得更多兴趣。 最受欢迎的模型描述了通过两个参数的肿瘤细胞的侵蚀性:净增殖率(RHO)和迁移(D)的倾向。 与单一术前磁共振成像(MRI)估计的比率RHO / D表征肿瘤侵入性概况(高rho / d:结节;低rho / d:diffuse)。 最近的一项研究报告,从大量的胶质母细胞瘤多形形母细胞瘤(GBM)患者,总分解(GTR)只会在结节性肿瘤患者中提高生存。

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