Maximizing safe resection of low-and high-grade glioma
SL Hervey-Jumper, MS Berger - Journal of neuro-oncology, 2016 - Springer
Surgical resection plays a central role in the management of gliomas. In this study, we
review the evidence in support of extent of resection to improve survival, symptom …
review the evidence in support of extent of resection to improve survival, symptom …
Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches
Radiomics describes a broad set of computational methods that extract quantitative features
from radiographic images. The resulting features can be used to inform imaging diagnosis …
from radiographic images. The resulting features can be used to inform imaging diagnosis …
Predicting cancer outcomes from histology and genomics using convolutional networks
Cancer histology reflects underlying molecular processes and disease progression and
contains rich phenotypic information that is predictive of patient outcomes. In this study, we …
contains rich phenotypic information that is predictive of patient outcomes. In this study, we …
T2–FLAIR mismatch, an imaging biomarker for IDH and 1p/19q status in lower-grade gliomas: a TCGA/TCIA project
Purpose: Lower-grade gliomas (WHO grade II/III) have been classified into clinically relevant
molecular subtypes based on IDH and 1p/19q mutation status. The purpose was to …
molecular subtypes based on IDH and 1p/19q mutation status. The purpose was to …
MRI features predict survival and molecular markers in diffuse lower-grade gliomas
Background. Previous studies have shown that MR imaging features can be used to predict
survival and molecular profile of glioblastoma. However, no study of a similar type has been …
survival and molecular profile of glioblastoma. However, no study of a similar type has been …
3D deep learning for multi-modal imaging-guided survival time prediction of brain tumor patients
High-grade glioma is the most aggressive and severe brain tumor that leads to death of
almost 50% patients in 1–2 years. Thus, accurate prognosis for glioma patients would …
almost 50% patients in 1–2 years. Thus, accurate prognosis for glioma patients would …
Awake craniotomy to maximize glioma resection: methods and technical nuances over a 27-year period
OBJECT Awake craniotomy is currently a useful surgical approach to help identify and
preserve functional areas during cortical and subcortical tumor resections. Methodologies …
preserve functional areas during cortical and subcortical tumor resections. Methodologies …
Radiomic features from the peritumoral brain parenchyma on treatment-naive multi-parametric MR imaging predict long versus short-term survival in glioblastoma …
P Prasanna, J Patel, S Partovi, A Madabhushi… - European …, 2017 - Springer
Objective Despite 90% of glioblastoma (GBM) recurrences occurring in the peritumoral brain
zone (PBZ), its contribution in patient survival is poorly understood. The current study …
zone (PBZ), its contribution in patient survival is poorly understood. The current study …
MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set
Purpose To conduct a comprehensive analysis of radiologist-made assessments of
glioblastoma (GBM) tumor size and composition by using a community-developed controlled …
glioblastoma (GBM) tumor size and composition by using a community-developed controlled …
Glioma extent of resection and its impact on patient outcome
N Sanai, MS Berger - Neurosurgery, 2008 - journals.lww.com
OBJECTIVE: There is still no general consensus in the literature regarding the role of extent
of glioma resection in improving patient outcome. Although the importance of resection in …
of glioma resection in improving patient outcome. Although the importance of resection in …