[ 1 ] Forsyth PA, Petrov E, Mahallati H, et al. Prospective study of postoperative magnetic resonance imaging in patients with malignant gliomas[J]. J Clin Oncol, 1997, 15(5): 2076-2081.
[2]
[ 2 ] Albert FK, Forsting M, Sartor K, et al. Early postoperative magnetic resonance imaging after resection of malignant glioma: objective evaluation of residual tumor and its influence on regrowth and prognosis[J]. Neurosurgery, 1994, 34(1): 45-60.
[3]
[ 3 ] Jeffries, B.F, Kishore PR, Singh KS, et al. Contrast enhancement in the postoperative brain[J]. Radiology, 1981, 139(2): 409-413.
[ 7 ] Di Costanzo A, Soarabino T, Trojsi Fi, et al. Multiparametric 3T MR approach to the assessment of cerebral gliomas: tumor extent and malignancy[J]. Neuroradiology, 2006, 48(9): 622-631.
[8]
[ 8 ] Arvinda HR, Kesavadas C, Sarma PS, et al. Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging[J]. J Neurooncol, 2009, 94(1): 87-96.
[9]
[ 9 ] Simon D, Fritzsche KH, Thieke C, et al. Diffusion-weighted imaging-based probabilistic segmentation of high-and low-proliferative areas in high-grade gliomas[J]. Cancer Imaging, 2012, 12: 89-99.
[10]
Server A, Kulle B, Gadmar B, et al. Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas[J]. Eur J Radiol, 2011, 80(2): 462-470.
