Discriminating Survival Outcomes in Patients with Glioblastoma Using a Simulation-Based, Patient-Specific Response Metric

Pseudoprogression and Pseudoresponse: Imaging Challenges in the Assessment of Posttreatment Glioma

(2011) L.C. Hygino da Cruz et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Applying a patient-specific bio-mathematical model of glioma growth to develop virtual [18F]-FMISO-PET images

(2011) S. Gu et al.   MATHEMATICAL MEDICINE AND BIOLOGY-A JOURNAL OF THE IMA

Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group

(2010) Patrick Y. Wen et al.   JOURNAL OF CLINICAL ONCOLOGY

Predicting the efficacy of radiotherapy in individual glioblastoma patientsin vivo:a mathematical modeling approach

(2010) R Rockne et al.   PHYSICS IN MEDICINE AND BIOLOGY

Current progress in patient-specific modeling

(2009) M. L. Neal et al.   BRIEFINGS IN BIOINFORMATICS

Quantitative Metrics of Net Proliferation and Invasion Link Biological Aggressiveness Assessed by MRI with Hypoxia Assessed by FMISO-PET in Newly Diagnosed Glioblastomas

(2009) M. D. Szeto et al.   CANCER RESEARCH

Prognostic Significance of Growth Kinetics in Newly Diagnosed Glioblastomas Revealed by Combining Serial Imaging with a Novel Biomathematical Model

(2009) C. H. Wang et al.   CANCER RESEARCH

Pseudoprogression and pseudoresponse in the treatment of gliomas

(2009) Dieta Brandsma et al.   CURRENT OPINION IN NEUROLOGY

Velocity of Radial Expansion of Contrast-enhancing Gliomas and the Effectiveness of Radiotherapy in Individual Patients: a Proof of Principle

(2008) K.R. Swanson et al.   CLINICAL ONCOLOGY

New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

(2008) E.A. Eisenhauer et al.   EUROPEAN JOURNAL OF CANCER