Longitudinal Patterns in Clinical and Imaging Measurements Predict Residual Survival in Glioblastoma Patients

Scientific Reports - United Kingdom
doi 10.1038/s41598-018-32397-z
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Efficacy of Clinical Prognostic Factors on Survival in Patients With Glioblastoma

Turkish Neurosurgery
SurgeryNeurology
2009English

Interleukin-6 Gene Amplification and Shortened Survival in Glioblastoma Patients

British Journal of Cancer
Cancer ResearchOncology
2007English

Survival and Recurrence Patterns of Multifocal Glioblastoma After Radiation Therapy

Cancer Management and Research
Oncology
2018English

20 Disparities in Survival for Patients With Glioblastoma Multiforme

Canadian Journal of Neurological Sciences
MedicineNeurology
2018English

Angiotensinogen and HLA Class II Predict Bevacizumab Response in Recurrent Glioblastoma Patients

Molecular Oncology
Cancer ResearchMedicineOncologyGeneticsMolecular Medicine
2016English

ERCC1 and ERCC2 Variants Predict Survival in Gastric Cancer Patients

PLoS ONE
Multidisciplinary
2013English

Magnetic Resonance Imaging Characteristics Predict Epidermal Growth Factor Receptor Amplification Status in Glioblastoma

Clinical Cancer Research
Cancer ResearchOncology
2005English

LncRNA RPSAP52 Upregulates TGF-β1 to Increase Cancer Cell Stemness and Predict Postoperative Survival in Glioblastoma

Cancer Management and Research
Oncology
2020English

Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers

Radiology
Nuclear MedicineRadiologyImaging
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy