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Prediction of Recurrence Patterns in Glioblastoma Using DSC-MRI Radiomics-Based Deep Learning

2020-12-15

Abstract excerpt

Glioblastoma remains the most devastating brain tumor despite optimal treatment, because of the high rate of recurrence. Distant recurrence has distinct genomic alterations compared to local recurrence, which requires different treatment planning both in clinical practice and trials. To date, perfusion-weighted MRI has revealed that perfusional characteristics of tumor are associated with prognosis. However, not m...

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Literature Corpus work
c85e50a4-a13a-5fa9-9c24-6325a95169a3
DOI
10.21203/rs.3.rs-125593/v1
Open publication

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Prediction of Recurrence Patterns in Glioblastoma Using DSC-MRI Radiomics-Based Deep LearningDOI 10.21203/rs.3.rs-125593/v1
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