[HTML][HTML] Noninvasive diffusion magnetic resonance imaging of brain tumour cell size for the early detection of therapeutic response

TA Roberts, H Hyare, G Agliardi, B Hipwell… - Scientific reports, 2020 - nature.com
Cancer cells differ in size from those of their host tissue and are known to change in size
during the processes of cell death. A noninvasive method for monitoring cell size would be …

Diffusion-weighted MRI as a biomarker for treatment response in glioma

KM Schmainda - CNS oncology, 2012 - Future Medicine
Diffusion-weighted imaging (DWI) is a powerful MRI method, which probes abnormalities of
tissue structure by detecting microscopic changes in water mobility at a cellular level beyond …

Infiltrative patterns of glioblastoma: identification of tumor progress using apparent diffusion coefficient histograms

K Lutz, B Wiestler, M Graf, P Bäumer… - Journal of Magnetic …, 2014 - Wiley Online Library
Purpose To investigate whether apparent diffusion coefficient (ADC) histogram analysis can
differentiate between patients presenting T2‐progress and patients presenting stable T2 …

[HTML][HTML] Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histology

F Zaccagna, F Riemer, AN Priest, MA McLean… - European …, 2019 - Springer
Purpose This prospective study evaluated the use of vascular, extracellular and restricted
diffusion for cytometry in tumours (VERDICT) MRI to investigate the tissue microstructure in …

Improving microstructural estimation in time‐dependent diffusion MRI with a Bayesian method

K Liu, Z Lin, T Zheng, R Ba, Z Zhang… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Accurately fitting diffusion‐time‐dependent diffusion MRI (td‐dMRI) models
poses challenges due to complex and nonlinear formulas, signal noise, and limited clinical …

Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index

R Yan, P Haopeng, F Xiaoyuan, W Jinsong, Z Jiawen… - Neuroradiology, 2016 - Springer
Introduction This study was conducted to compare the association of Gaussian and non-
Gaussian magnetic resonance imaging (MRI)-derived parameters with histologic grade and …

Validation of DWI pre-processing procedures for reliable differentiation between human brain gliomas

S Vellmer, AS Tonoyan, D Suter, IN Pronin… - … für Medizinische Physik, 2018 - Elsevier
Diffusion magnetic resonance imaging (dMRI) is a powerful tool in clinical applications, in
particular, in oncology screening. dMRI demonstrated its benefit and efficiency in the …

Comparison of voxel-wise and histogram analyses of glioma ADC maps for prediction of early therapeutic change

TL Chenevert, DI Malyarenko, CJ Galbán… - Tomography, 2019 - mdpi.com
Noninvasive imaging methods are sought to objectively predict early response to therapy for
high-grade glioma tumors. Quantitative metrics derived from diffusion-weighted imaging …

Mono-exponential, diffusion kurtosis and stretched exponential diffusion MR imaging response to chemoradiation in newly diagnosed glioblastoma

A Chakhoyan, DC Woodworth, RJ Harris, A Lai… - Journal of neuro …, 2018 - Springer
Purpose To quantify changes and prognostic value of diffusion MRI measurements obtained
using mono-exponential, diffusion kurtosis imaging (DKI) and stretched exponential (SE) …

Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity

BM Ellingson, MG Malkin, SD Rand… - Journal of Magnetic …, 2010 - Wiley Online Library
Purpose: To present comprehensive examinations of the assumptions made in functional
diffusion map (fDM) analyses and provide a biological basis for fDM classification. Materials …