Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

PD-L1-R: A MR based surrogate for PD-L1 expression in Glioblastoma multiforme.

(2021) Francesco Sforazzini et al.   JOURNAL OF CLINICAL ONCOLOGY

Novel imaging biomarkers predict progression-free survival in stage 3 NSCLC treated with chemoradiation and durvalumab.

(2021) Khalid Jazieh et al.   JOURNAL OF CLINICAL ONCOLOGY

Effect of Nivolumab vs Bevacizumab in Patients With Recurrent Glioblastoma

(2020) David A. Reardon et al.   JAMA Oncology

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

(2019) Dong Nie et al.   Scientific Reports

Immune and genomic correlates of response to anti-PD-1 immunotherapy in glioblastoma

(2019) Junfei Zhao et al.   NATURE MEDICINE

Glioma Grading Using a Machine‐Learning Framework Based on Optimized Features Obtained From T 1 Perfusion MRI and Volumes of Tumor Components

(2019) Anirban Sengupta et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Phase II study to evaluate safety and efficacy of MEDI4736 (durvalumab) + radiotherapy in patients with newly diagnosed unmethylated MGMT glioblastoma (new unmeth GBM).

(2019) David A. Reardon et al.   JOURNAL OF CLINICAL ONCOLOGY

Immune check-point in glioblastoma multiforme

(2019) F. De Felice et al.   CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

(2019) Ken Chang et al.   NEURO-ONCOLOGY

CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2012–2016

(2019) Quinn T Ostrom et al.   NEURO-ONCOLOGY

Advanced Deep Learning Embedded Motion Radiomics Pipeline for Predicting Anti-PD-1/PD-L1 Immunotherapy Response in the Treatment of Bladder Cancer: Preliminary Results

(2019) Rundo et al.   Electronics

Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning

(2018) Parita Sanghani et al.   SURGICAL ONCOLOGY-OXFORD

State of the Art: Machine Learning Applications in Glioma Imaging

(2018) Eyal Lotan et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab

(2017) Patrick Grossmann et al.   NEURO-ONCOLOGY

OS10.3 Randomized Phase 3 Study Evaluating the Efficacy and Safety of Nivolumab vs Bevacizumab in Patients With Recurrent Glioblastoma: CheckMate 143

(2017) D. A. Reardon et al.   NEURO-ONCOLOGY

Emerging targets in cancer immunotherapy

(2017) Samantha Burugu et al.   SEMINARS IN CANCER BIOLOGY

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

(2017) Martin Vallières et al.   Scientific Reports

Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

(2016) P. Kickingereder et al.   CLINICAL CANCER RESEARCH

Response Assessment in Neuro-Oncology Criteria and Clinical Endpoints

(2016) Raymond Y. Huang et al.   Magnetic Resonance Imaging Clinics of North America

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas

(2016) Biqi Zhang et al.   NEURO-ONCOLOGY

Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab

(2016) Ken Chang et al.   NEURO-ONCOLOGY

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

(2016) Philipp Kickingereder et al.   RADIOLOGY

Immunotherapy response assessment in neuro-oncology: a report of the RANO working group

(2015) Hideho Okada et al.   LANCET ONCOLOGY

Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques

(2015) Luke Macyszyn et al.   NEURO-ONCOLOGY

A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

(2015) M Vallières et al.   PHYSICS IN MEDICINE AND BIOLOGY

Antagonists of PD-1 and PD-L1 in Cancer Treatment

(2015) Evan J. Lipson et al.   SEMINARS IN ONCOLOGY

Durable Therapeutic Efficacy Utilizing Combinatorial Blockade against IDO, CTLA-4, and PD-L1 in Mice with Brain Tumors

(2014) D. A. Wainwright et al.   CLINICAL CANCER RESEARCH

Anti-PD-1 Blockade and Stereotactic Radiation Produce Long-Term Survival in Mice With Intracranial Gliomas

(2013) Jing Zeng et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial

(2009) Roger Stupp et al.   LANCET ONCOLOGY

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics