Cell invasion, motility, and proliferation level estimate (CIMPLE) maps derived from serial diffusion MR images in recurrent glioblastoma treated with bevacizumab.

作者: Benjamin M. Ellingson , Timothy F. Cloughesy , Albert Lai , Phioanh L. Nghiemphu , Whitney B. Pope

DOI: 10.1007/S11060-011-0567-8

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摘要: Microscopic invasion of tumor cells and undetected proliferation is the primary reason for a dismal prognosis in glioblastoma patients. Identification quantification spatially localized brain regions undergoing high rates cell migration critical improving patient survival; however, there are currently no non-invasive imaging biomarkers estimating human gliomas vivo. To accomplish this, we developed CIMPLE (cell invasion, motility, level estimates) image maps using serial diffusion MRI scans solution to glioma growth model equation. represent novel method quantifying aggressive malignant behavior. In current pilot study, demonstrate utility predict progression free survival (PFS) overall (OS) 26 recurrent patients treated with bevacizumab from our Neuro-Oncology database. Voxel-wise estimates rate predicted spatial contrast enhancement 35% A linear correlation was found between mean progression-free (PFS; P < 0.0001) as well (OS; = 0.0093). Similarly, able stratify early late PFS OS.

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