MRI biomarkers in neuro-oncology

M Smits - Nature Reviews Neurology, 2021 - nature.com
The central role of MRI in neuro-oncology is undisputed. The technique is used, both in
clinical practice and in clinical trials, to diagnose and monitor disease activity, support …

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

S Bakas, C Sako, H Akbari, M Bilello, A Sotiras… - Scientific data, 2022 - nature.com
Glioblastoma is the most common aggressive adult brain tumor. Numerous studies have
reported results from either private institutional data or publicly available datasets. However …

Advanced imaging techniques for newly diagnosed and recurrent gliomas

LR Carrete, JS Young, S Cha - Frontiers in Neuroscience, 2022 - frontiersin.org
Management of gliomas following initial diagnosis requires thoughtful presurgical planning
followed by regular imaging to monitor treatment response and survey for new tumor growth …

The University of California San Francisco preoperative diffuse glioma MRI dataset

E Calabrese, JE Villanueva-Meyer, JD Rudie… - Radiology: Artificial …, 2022 - pubs.rsna.org
The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset |
Radiology: Artificial Intelligence RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu …

Analyzing magnetic resonance imaging data from glioma patients using deep learning

B Menze, F Isensee, R Wiest, B Wiestler… - … medical imaging and …, 2021 - Elsevier
The quantitative analysis of images acquired in the diagnosis and treatment of patients with
brain tumors has seen a significant rise in the clinical use of computational tools. The …

Diffuse microvascular dysfunction and loss of white matter integrity predict poor outcomes in patients with acute ischemic stroke

NS Rost, P Cougo, S Lorenzano, H Li… - Journal of Cerebral …, 2018 - journals.sagepub.com
We sought to investigate the relationship between blood–brain barrier (BBB) permeability
and microstructural white matter integrity, and their potential impact on long-term functional …

Multisite concordance of DSC-MRI analysis for brain tumors: results of a national cancer institute quantitative imaging network collaborative project

KM Schmainda, MA Prah, SD Rand, Y Liu… - American Journal of …, 2018 - ajnr.org
BACKGROUND AND PURPOSE: Standard assessment criteria for brain tumors that only
include anatomic imaging continue to be insufficient. While numerous studies have …

Visualising spatial heterogeneity in glioblastoma using imaging habitats

M Waqar, PJ Van Houdt, E Hessen, KL Li, X Zhu… - Frontiers in …, 2022 - frontiersin.org
Glioblastoma is a high-grade aggressive neoplasm characterised by significant intra-tumoral
spatial heterogeneity. Personalising therapy for this tumour requires non-invasive tools to …

Dynamic susceptibility contrast MR imaging in glioma: review of current clinical practice

JL Boxerman, MS Shiroishi… - Magnetic Resonance …, 2016 - mri.theclinics.com
DSC-MR imaging is a bolus tracking technique that rapidly acquires gradient echo (GRE) or
spin echo (SE) echo planar images before (baseline), during, and after (tail) first-pass transit …

The QIBA Profile for Dynamic Susceptibility Contrast MRI Quantitative Imaging Biomarkers for Assessing Gliomas

MS Shiroishi, BJ Erickson, LS Hu, DP Barboriak… - Radiology, 2024 - pubs.rsna.org
The dynamic susceptibility contrast (DSC) MRI measures of relative cerebral blood volume
(rCBV) play a central role in monitoring therapeutic response and disease progression in …