Survival in glioblastoma: a review on the impact of treatment modalities

PD Delgado-López, EM Corrales-García - Clinical and Translational …, 2016 - Springer
Glioblastoma (GBM) is the most common and lethal tumor of the central nervous system. The
natural history of treated GBM remains very poor with 5-year survival rates of 5%. Survival …

Advanced magnetic resonance imaging in glioblastoma: a review

G Shukla, GS Alexander, S Bakas… - Chinese clinical …, 2017 - cco.amegroups.org
Glioblastoma, the most common and most rapidly progressing primary malignant tumor of
the central nervous system, continues to portend a dismal prognosis, despite improvements …

Radiomic MRI phenotyping of glioblastoma: improving survival prediction

S Bae, YS Choi, SS Ahn, JH Chang, SG Kang, EH Kim… - Radiology, 2018 - pubs.rsna.org
Purpose To investigate whether radiomic features at MRI improve survival prediction in
patients with glioblastoma multiforme (GBM) when they are integrated with clinical and …

Spatiotemporal genomic architecture informs precision oncology in glioblastoma

JK Lee, J Wang, JK Sa, E Ladewig, HO Lee, IH Lee… - Nature …, 2017 - nature.com
Precision medicine in cancer proposes that genomic characterization of tumors can inform
personalized targeted therapies,,,,. However, this proposition is complicated by spatial and …

[HTML][HTML] A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data

B Ocaña-Tienda, J Pérez-Beteta, JD Villanueva-García… - Scientific data, 2023 - nature.com
Brain metastasis (BM) is one of the main complications of many cancers, and the most
frequent malignancy of the central nervous system. Imaging studies of BMs are routinely …

Tumor surface regularity at MR imaging predicts survival and response to surgery in patients with glioblastoma

J Pérez-Beteta, D Molina-García, JA Ortiz-Alhambra… - Radiology, 2018 - pubs.rsna.org
Purpose To evaluate the prognostic and predictive value of surface-derived imaging
biomarkers obtained from contrast material–enhanced volumetric T1-weighted pretreatment …

A coclinical radiogenomic validation study: conserved magnetic resonance radiomic appearance of periostin-expressing glioblastoma in patients and xenograft …

PO Zinn, SK Singh, A Kotrotsou, I Hassan… - Clinical Cancer …, 2018 - AACR
Purpose: Radiomics is the extraction of multidimensional imaging features, which when
correlated with genomics, is termed radiogenomics. However, radiogenomic biological …

[HTML][HTML] Prognostic and predictive value of integrated qualitative and quantitative magnetic resonance imaging analysis in glioblastoma

M Verduin, S Primakov, I Compter, HC Woodruff… - Cancers, 2021 - mdpi.com
Simple Summary Glioblastoma (GBM) is the most malignant primary brain tumor, for which
improving patient outcome is limited by a substantial amount of tumor heterogeneity …

[HTML][HTML] Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma

P Grossmann, DA Gutman, WD Dunn, CA Holder… - BMC cancer, 2016 - Springer
Background Glioblastoma (GBM) tumors exhibit strong phenotypic differences that can be
quantified using magnetic resonance imaging (MRI), but the underlying biological drivers of …

[HTML][HTML] Quantitative MRI using relaxometry in malignant gliomas detects contrast enhancement in peritumoral oedema

I Blystad, JBM Warntjes, Ö Smedby, P Lundberg… - Scientific Reports, 2020 - nature.com
Malignant gliomas are primary brain tumours with an infiltrative growth pattern, often with
contrast enhancement on magnetic resonance imaging (MRI). However, it is well known that …