A combined diffusion tensor imaging and Ki-67 labeling index study for evaluating the extent of tumor infiltration using the F98 rat glioma model

K Wang, T Ha, X Chen, S Li, L Ai, J Ma, J Dai - Journal of Neuro-Oncology, 2018 - Springer
Diffusion tensor imaging (DTI) has been proven to be a sophisticated and useful tool for the
delineation of tumors. In the present study, we investigated the predictive role of DTI …

A data-motivated density-dependent diffusion model of in vitro glioblastoma growth

TL Stepien, EM Rutter, Y Kuang - Mathematical Biosciences & …, 2015 - aimsciences.org
Glioblastoma multiforme is an aggressive brain cancer that is extremely fatal. It is
characterized by both proliferation and large amounts of migration, which contributes to the …

[HTML][HTML] Predicting the true extent of glioblastoma based on probabilistic tractography

D Kis, L Szivos, M Rekecki, BS Shukir, A Mate… - Frontiers in …, 2022 - frontiersin.org
Glioblastoma is the most frequent type of primary brain tumors. Despite the advanced
therapy, most of the patients die within 2 years after the diagnosis. The tumor has a typical …

[HTML][HTML] Histogram Analysis of Diffusion Weighted Imaging in Low-Grade Gliomas: in vivo Characterization of Tumor Architecture and Corresponding Neuropathology

GA Gihr, D Horvath-Rizea, E Hekeler… - Frontiers in …, 2020 - frontiersin.org
Background: Low-grade gliomas (LGG) in adults are usually slow growing and frequently
asymptomatic brain tumors, originating from glial cells of the central nervous system (CNS) …

[PDF][PDF] Learning a Classification-based Glioma Growth Model Using MRI Data.

M Morris, R Greiner, J Sander, A Murtha, M Schmidt - J. Comput., 2006 - Citeseer
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and
evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow …

[HTML][HTML] Orthotopic glioblastoma models for evaluation of the clinical target volume concept

R Bütof, P Hönscheid, R Aktar, C Sperling, F Tillner… - Cancers, 2022 - mdpi.com
Simple Summary The accurate and precise definition of the target volume is of enormous
importance for the treatment success of radiotherapy. In glioblastoma, the microscopic tumor …

Tumor growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas

I Rekik, S Allassonnière, O Clatz, E Geremia… - Computer Vision and …, 2013 - Elsevier
Coupling time series of MR Images with reaction–diffusion-based models has provided
interesting ways to better understand the proliferative-invasive aspect of glial cells in tumors …

[HTML][HTML] Stretched-exponential model diffusion-weighted imaging as a potential imaging marker in preoperative grading and assessment of proliferative activity of …

X Chen, J Jiang, N Shen, L Zhao, J Zhang… - American Journal of …, 2018 - ncbi.nlm.nih.gov
Purpose: To assess the feasibility of using diffusion-weighted imaging (DWI) with the
stretched-exponential model (SEM) for glioma grading and determining the correlations …

Diffusion tensor imaging and optimized fiber tracking in glioma patients: histopathologic evaluation of tumor-invaded white matter structures

A Stadlbauer, C Nimsky, R Buslei, E Salomonowitz… - Neuroimage, 2007 - Elsevier
Fiber tracking is increasingly used to plan and guide neurosurgical procedures of
intracranial tumors in the vicinity of functionally important areas of the brain. However, valid …

[HTML][HTML] Integrative diffusion-weighted imaging and radiogenomic network analysis of glioblastoma multiforme

DH Heiland, CP Simon-Gabriel, T Demerath… - Scientific reports, 2017 - nature.com
In the past, changes of the Apparent Diffusion Coefficient in glioblastoma multiforme have
been shown to be related to specific genes and described as being associated with survival …