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    • 3. 发明申请
    • Tumor grading from blood volume maps
    • 肿瘤分级从血容量图
    • US20080221441A1
    • 2008-09-11
    • US11715529
    • 2007-03-08
    • Atle BjornerudKyrre Eeg Emblem
    • Atle BjornerudKyrre Eeg Emblem
    • A61B6/03
    • G06T7/0012A61B6/501A61B6/507G06T7/11G06T2207/10072G06T2207/30016G06T2207/30096
    • An embodiment of the invention is to make possible a non-invasive grading of a tumor based on parameters determined from a frequency distribution (histogram) of values in a map representing cerebral blood volume (CBV) or cellular metabolism in the tumour. The method is especially applicable to brain tumors such as gliomas where histological grading is difficult. The invention provides a precise and consistent grading since it relies on values selected from the whole tumor (not just from hot spots); since it takes the diversity or heterogeneity of the vascularization into account by analyzing the frequency distribution (not just a mean value); and since it involves and allows for a more automated procedure wherein any subjective contributions from human operators is not critical to the resulting grading. CBV maps may be obtained by perfusion imaging using MRI or CT scanning. Cellular metabolism maps may be obtained from a glucose metabolism map obtained by positron emission tomography (PET).
    • 本发明的一个实施方案是基于根据表示肿瘤中的脑血容量(CBV)或细胞代谢的图中的值的频率分布(直方图)确定的参数,使肿瘤的非侵入性分级成为可能。 该方法特别适用于组织学分级困难的脑瘤如胶质瘤。 本发明提供精确和一致的分级,因为它依赖于从整个肿瘤中选择的值(不仅来自热点); 因为通过分析频率分布(不仅仅是平均值)来考虑血管形成的多样性或异质性; 并且因为它涉及并允许更自动化的过程,其中来自人类操作者的任何主观贡献对于最终的分级不是关键的。 可以通过使用MRI或CT扫描的灌注成像获得CBV图。 可以从通过正电子发射断层摄影(PET)获得的葡萄糖代谢图获得细胞代谢图。