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Predicting survival in patients with glioblastoma using MRI radiomic features extracted from radiati...

Predicting survival in patients with glioblastoma using MRI radiomic features extracted from radiati...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2616610594

Predicting survival in patients with glioblastoma using MRI radiomic features extracted from radiation planning volumes

About this item

Full title

Predicting survival in patients with glioblastoma using MRI radiomic features extracted from radiation planning volumes

Publisher

New York: Springer US

Journal title

Journal of neuro-oncology, 2022-02, Vol.156 (3), p.579-588

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Background
Quantitative image analysis using pre-operative magnetic resonance imaging (MRI) has been able to predict survival in patients with glioblastoma (GBM). The study explored the role of postoperative radiation (RT) planning MRI-based radiomics to predict the outcomes, with features extracted from the gross tumor volume (GTV) and clinical...

Alternative Titles

Full title

Predicting survival in patients with glioblastoma using MRI radiomic features extracted from radiation planning volumes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2616610594

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2616610594

Other Identifiers

ISSN

0167-594X

E-ISSN

1573-7373

DOI

10.1007/s11060-021-03939-9

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