Radiomics for precision medicine in glioblastoma
Introduction Being the most common primary brain tumor, glioblastoma presents as an
extremely challenging malignancy to treat with dismal outcomes despite treatment. Varying …
extremely challenging malignancy to treat with dismal outcomes despite treatment. Varying …
The peritumoral brain zone in glioblastoma: where we are and where we are going
M Giambra, A Di Cristofori, S Valtorta… - Journal of …, 2023 - Wiley Online Library
Glioblastoma (GBM) is the most aggressive and invasive primary brain tumor. Current
therapies are not curative, and patients' outcomes remain poor with an overall survival of …
therapies are not curative, and patients' outcomes remain poor with an overall survival of …
High-grade glioma treatment response monitoring biomarkers: a position statement on the evidence supporting the use of advanced MRI techniques in the clinic, and …
TC Booth, EC Wiegers, EAH Warnert… - Frontiers in …, 2022 - frontiersin.org
Objective To summarize evidence for use of advanced MRI techniques as monitoring
biomarkers in the clinic, and to highlight the latest bench-to-bedside developments. Methods …
biomarkers in the clinic, and to highlight the latest bench-to-bedside developments. Methods …
Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients
Glioblastoma is characterized by diffuse infiltration into the surrounding tissue along white
matter tracts. Identifying the invisible tumour invasion beyond focal lesion promises more …
matter tracts. Identifying the invisible tumour invasion beyond focal lesion promises more …
A Systematic Review on Recent Advancements in Deep Learning and Mathematical Modeling for Efficient Detection of Glioblastoma
In medical facilities, the glioblastoma detection and growth patterns are critical yet
challenging tasks. It is important for early diagnosis and therapy planning to save lives …
challenging tasks. It is important for early diagnosis and therapy planning to save lives …
Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRI
KY Shim, SW Chung, JH Jeong, I Hwang, CK Park… - Scientific reports, 2021 - nature.com
Glioblastoma remains the most devastating brain tumor despite optimal treatment, because
of the high rate of recurrence. Distant recurrence has distinct genomic alterations compared …
of the high rate of recurrence. Distant recurrence has distinct genomic alterations compared …
The role of computational methods for automating and improving clinical target volume definition
Abstract Treatment planning in radiotherapy distinguishes three target volume concepts: the
gross tumor volume (GTV), the clinical target volume (CTV), and the planning target volume …
gross tumor volume (GTV), the clinical target volume (CTV), and the planning target volume …
Discrimination between glioblastoma and solitary brain metastasis using conventional MRI and diffusion-weighted imaging based on a deep learning algorithm
Q Yan, F Li, Y Cui, Y Wang, X Wang, W Jia, X Liu… - Journal of Digital …, 2023 - Springer
This study aims to develop and validate a deep learning (DL) model to differentiate
glioblastoma from single brain metastasis (BM) using conventional MRI combined with …
glioblastoma from single brain metastasis (BM) using conventional MRI combined with …
Quantitative mapping of individual voxels in the peritumoral region of IDH-wildtype glioblastoma to distinguish between tumor infiltration and edema
Purpose The peritumoral region (PTR) in glioblastoma (GBM) represents a combination of
infiltrative tumor and vasogenic edema, which are indistinguishable on magnetic resonance …
infiltrative tumor and vasogenic edema, which are indistinguishable on magnetic resonance …
Artificial intelligence-based locoregional markers of brain peritumoral microenvironment
In malignant primary brain tumors, cancer cells infiltrate into the peritumoral brain structures
which results in inevitable recurrence. Quantitative assessment of infiltrative heterogeneity in …
which results in inevitable recurrence. Quantitative assessment of infiltrative heterogeneity in …