title: Quantitative multi-modal MR imaging as a non-invasive prognostic tool for patients with recurrent low-grade glioma.
abstract: Low-grade gliomas can vary widely in disease course and therefore patient outcome. While current characterization relies on both histological and molecular analysis of tissue resected during surgery, there remains high variability within glioma subtypes in terms of response to treatment and outcome. In this study we hypothesized that parameters obtained from magnetic resonance data would be associated with progression-free survival for patients with recurrent low-grade glioma. The values considered were derived from the analysis of anatomic imaging, diffusion weighted imaging, and1H magnetic resonance spectroscopic imaging data. Metrics obtained from diffusion and spectroscopic imaging presented strong prognostic capability within the entire population as well as when restricted to astrocytomas, but demonstrated more limited efficacy in the oligodendrogliomas. The results indicate that multi-parametric imaging data may be applied as a non-invasive means of assessing prognosis and may contribute to developing personalized treatment plans for patients with recurrent low-grade glioma.
authors.affiliation: Department of Radiology, University of California San Francisco, San Francisco,, CA, 94143, USA.
authors.forename: Evan
authors.initials: E
authors.lastname: Neill
authors.affiliation: Department of Radiology, University of California San Francisco, San Francisco,, CA, 94143, USA. Tracy.Luks@ucsf.edu.
authors.forename: Tracy
authors.initials: T
authors.lastname: Luks
authors.affiliation: Department of Radiology, University of California San Francisco, San Francisco,, CA, 94143, USA.
authors.forename: Manisha
authors.initials: M
authors.lastname: Dayal
authors.affiliation: Department of Pathology and Laboratory Medicine, University of California San Francisco, San Francisco, CA, 94143, USA.
authors.forename: Joanna J
authors.initials: JJ
authors.lastname: Phillips
authors.affiliation: Department of Pathology and Laboratory Medicine, University of California San Francisco, San Francisco, CA, 94143, USA.
authors.forename: Arie
authors.initials: A
authors.lastname: Perry
authors.affiliation: Department of Radiology, University of California San Francisco, San Francisco,, CA, 94143, USA.
authors.forename: Llewellyn E
authors.initials: LE
authors.lastname: Jalbert
authors.affiliation: Department of Radiology, University of California San Francisco, San Francisco,, CA, 94143, USA.
authors.forename: Soonmee
authors.initials: S
authors.lastname: Cha
authors.affiliation: Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA.
authors.forename: Annette
authors.initials: A
authors.lastname: Molinaro
authors.affiliation: Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA.
authors.forename: Susan M
authors.initials: SM
authors.lastname: Chang
authors.affiliation: Department of Radiology, University of California San Francisco, San Francisco,, CA, 94143, USA.
authors.forename: Sarah J
authors.initials: SJ
authors.lastname: Nelson
mesh_terms: D001921:Brain / Q000000981:diagnostic imaging / Q000473:pathology; D001932:Brain Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D018572:Disease-Free Survival; D005260:Female; D005910:Glioma / Q000000981:diagnostic imaging* / Q000473:pathology*; D006801:Humans; D053208:Kaplan-Meier Estimate; D008279:Magnetic Resonance Imaging; D008297:Male; D064847:Multimodal Imaging; D060787:Neoplasm Grading; D011379:Prognosis
keywords: Diffusion; Glioma; MRI; Progression-free survival