Discriminating survival outcomes in patients with glioblastoma using a simulation-based, patient-specific response metric.

Neal, Maxwell Lewis; Trister, Andrew D; Cloke, Tyler; Sodt, Rita; Ahn, Sunyoung; Baldock, Anne L; Bridge, Carly A; Lai, Albert; Cloughesy, Timothy F; Mrugala, Maciej M; Rockhill, Jason K; Rockne, Russell C; Swanson, Kristin R

Neal, Maxwell Lewis; Trister, Andrew D; Cloke, Tyler; Sodt, Rita; Ahn, Sunyoung; Baldock, Anne L; Bridge, Carly A; Lai, Albert; Cloughesy, Timothy F; Mrugala, Maciej M; Rockhill, Jason K; Rockne, Russell C; Swanson, Kristin R.

Affiliation

Neal ML; Department of Pathology, University of Washington, Seattle, Washington, United States of America. mneal@uw.edu

PLoS One ; 8(1): e51951, 2013.

Article in En | MEDLINE | ID: mdl-23372647

Subject(s)

Brain Neoplasms/diagnosis; Glioblastoma/diagnosis; Precision Medicine/methods; Adult; Aged; Aged, 80 and over; Brain Neoplasms/mortality; Brain Neoplasms/pathology; Brain Neoplasms/radiotherapy; Computer Simulation; Disease Progression; Gamma Rays; Glioblastoma/mortality; Glioblastoma/pathology; Glioblastoma/radiotherapy; Humans; Likelihood Functions; Magnetic Resonance Imaging; Middle Aged; Prognosis; Survival Analysis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Neoplasms / Glioblastoma / Precision Medicine Type of study: Prognostic_studies Limits: Adult / Aged / Aged80 / Humans / Middle aged Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2013 Document type: Article Affiliation country: United States Country of publication: United States

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