2017
DOI: 10.1093/neuonc/nox036.317
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P09.62 Towards individualized survival prediction in glioblastoma patients using machine learning methods

Abstract: INTRODUCTION: Several recent retrospective analyses have shown conflicting correlation of doses of radiotherapy (RT) to SVZ with survival in patients with glioblastoma (GBM). We present the results of a prospective study evaluating RT doses received by SVZ in patients diagnosed with newly-diagnosed GBM and their impact on survival. MATERIAL AND METHODS: Between 2012-2016, 100 patients with newly diagnosed GBM were accrued in this IRB approved prospective study. 80 patients who completed their adjuvant treatmen… Show more

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“…An indirect confirmation of the prediction was reported in [12]. Several studies have used machine-learning approaches to construct prognosis models from sets of descriptors of tumour shape, texture, etc., obtained from different MRI sequences [15][16][17][18][19][20]. Finally, other authors have explored different types of spatial imaging biomarkers based on the quantification of tumour subregions [21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…An indirect confirmation of the prediction was reported in [12]. Several studies have used machine-learning approaches to construct prognosis models from sets of descriptors of tumour shape, texture, etc., obtained from different MRI sequences [15][16][17][18][19][20]. Finally, other authors have explored different types of spatial imaging biomarkers based on the quantification of tumour subregions [21][22][23].…”
Section: Introductionmentioning
confidence: 99%