Synthetic generation of DSC‐MRI‐derived relative CBV maps from DCE MRI of brain tumors

2020 ◽  
Vol 85 (1) ◽  
pp. 469-479 ◽  
Author(s):  
Jeremiah W. Sanders ◽  
Henry Szu‐Meng Chen ◽  
Jason M. Johnson ◽  
Donald F. Schomer ◽  
Jorge E. Jimenez ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Dce Mri ◽  
Dsc Mri ◽  
Synthetic Generation

Effect of Tumor Volume on Drug Delivery in Heterogeneous Vasculature of Human Brain Tumors

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Ajay Bhandari ◽  
Ankit Bansal ◽  
Rishav Jain ◽  
Anup Singh ◽  
Niraj Sinha
Keyword(s):  
Drug Delivery ◽  
Brain Tumors ◽  
Human Brain ◽  
Contrast Agent ◽  
Large Volume ◽  
Interstitial Fluid ◽  
Tumor Volume ◽  
Drug Distribution ◽  
Dce Mri ◽  
Concentration Of Contrast Agent

Drug distribution in tumors is strongly dependent on tumor biological properties such as tumor volume, vasculature, and porosity. An understanding of the drug distribution pattern in tumors can help in enhancing the effectiveness of anticancer treatment. A numerical model is employed to study the distribution of contrast agent in the heterogeneous vasculature of human brain tumors of different volumes. Dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) has been done for a number of patients with different tumor volumes. Leaky tracer kinetic model (LTKM) is employed to obtain perfusion parameters from the DCE-MRI data. These parameters are used as input in the computational fluid dynamics (CFD) model to predict interstitial fluid pressure (IFP), interstitial fluid velocity (IFV), and distribution of the contrast agent in different tumors. Numerical results demonstrate that the IFP is independent of tumor volume. On the other hand, the IFV increases as the tumor volume increases. Further, the concentration of contrast agent also increases with the tumor volume. The results obtained in this work are in line with the experimental DCE-MRI data. It is observed that large volume tumors tend to retain a higher concentration of contrast agent for a longer duration of time because of large extravasation flux and slow washout as compared to smaller tumors. These results may be qualitatively extrapolated to chemotherapeutic drug delivery, implying faster healing in large volume tumors. This study helps in understanding the effect of tumor volume on the treatment outcome for a wide range of human tumors.

scholarly journals EXTH-02. THE BLOOD BRAIN BARRIER (BBB) PERMEABILITY IS ALTERED BY TUMOR TREATING FIELDS (TTFIELDS) IN VIVO

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi82-vi82 ◽  
Author(s):  
Ellina Schulz ◽  
Almuth F Kessler ◽  
Ellaine Salvador ◽  
Dominik Domröse ◽  
Malgorzata Burek ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Blood Brain Barrier ◽  
Brain Barrier ◽  
Dce Mri ◽  
Tumor Treating Fields ◽  
Blood Brain ◽  
Vessel Structure ◽  
Bbb Permeability ◽  
The Brain

Abstract OBJECTIVE For glioblastoma patients Tumor Treating Fields (TTFields) have been established as adjuvant therapy. The blood brain barrier (BBB) tightly controls the influx of the majority of compounds from blood to brain. Therefore, the BBB may block delivery of drugs for treatment of brain tumors. Here, the influence of TTFields on BBB permeability was assessed in vivo. METHODS Rats were treated with 100 kHz TTFields for 72 h and thereupon i.v. injected with Evan’s Blue (EB) which directly binds to Albumin. To evaluate effects on BBB, EB was extracted after brain homogenization and quantified. In addition, cryosections of rat brains were prepared following TTFields application. The sections were stained for tight junction proteins Claudin-5 and Occludin and for immunoglobulin G (IgG) to assess vessel structure. Furthermore, serial dynamic contrast-enhanced DCE-MRI with Gadolinium contrast agent was performed before and after TTFields application. RESULTS TTFields application significantly increased the EB accumulation in the rat brain. In TTFields-treated rats, the vessel structure became diffuse compared to control cryosections of rat brains; Claudin 5 and Occludin were delocalized and IgG was found throughout the brain tissue. Serial DCE-MRI demonstrated significantly increased accumulation of Gadolinium in the brain, observed directly after 72 h of TTFields application. The effect of TTFields on the BBB disappeared 96 h after end of treatment and no difference in contrast enhancement between controls and TTFields treated animals was detectable. CONCLUSION By altering BBB integrity and permeability, application of TTFields at 100 kHz may have the potential to deliver drugs to the brain, which are unable to cross the BBB. Utilizing TTFields to open the BBB and its subsequent recovery could be a clinical approach of drug delivery for treatment of brain tumors and other diseases of the central nervous system. These results will be further validated in clinical Trials.

Diagnostic Values of DCE-MRI and DSC-MRI for Differentiation Between High-grade and Low-grade Gliomas

2018 ◽  
Vol 25 (3) ◽  
pp. 338-348 ◽  
Author(s):  
Jianye Liang ◽  
Dexiang Liu ◽  
Peng Gao ◽  
Dong Zhang ◽  
Hanwei Chen ◽  
...  
Keyword(s):  
Low Grade ◽  
High Grade ◽  
Dce Mri ◽  
Low Grade Gliomas ◽  
Dsc Mri ◽  
Diagnostic Values

scholarly journals Dynamic Contrast Enhanced MRI in Glioma Diagnosis

2017 ◽  
pp. 88-96
Author(s):  
E. A. Nechipay ◽  
M. B. Dolgushin ◽  
A. I. Pronin ◽  
E. A. Kobyakova ◽  
L. M. Fadeeva
Keyword(s):  
Differential Diagnosis ◽  
Brain Tumors ◽  
Surgical Removal ◽  
Low Grade ◽  
Glial Tumors ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Informative Parameters ◽  
Contrast Enhanced ◽  
Grade Iii

The aim: to examine the possibility of using dynamic contrast  enhanced magnetic resonance imaging (DCE MRI) in clarifying the  diagnosis of glial brain tumors and the differentiation between them  on the basis of the malignancy degree. In this regard, the authors  evaluated the effectiveness of perfusion parameters (Ktrans, Kep, Ve and iAUC).Materials and methods.The study included examination of 54  patients with an established presence of brain glial tumors. Glioma  Grade I–II diagnosed in 13 (24.1%) and glioma Grade III–IV in 41  (75.9%) cases. Morphological verification of the diagnosis obtained  as a result of either surgical removal of the tumor or stereotactic biopsy was achieved in 31 (57.4%) patients: glial tumors Grade I–II  identified in 6 (19.4%), and glioma Grade III–IV – 25 (80.6%) cases. Results. According to DCE increasing of the malignancy degree of  glial tumors is followed by increasing of all perfusion parameters:  thus, the lowest values of Ktrans, Kep, Ve and iAUC were identified  in low grade gliomas (0.026 min−1, 0.845 min−1, 0.024 and 1.757,  respectively), the highest in gliomas Grade III–IV (0.052 min−1  1.083 min−1, 0.06 and 2.694, respectively). The most informative parameters with sensi tivity 90% and specificity 100% in the  differential diagnosis of gliomas Grade I-II and Grade III-IV are  Ktrans (cut-off = 0.16 min−1) and Ve (cut-off = 0.13).Conclusion.DCE MRI can be used in differential diagnosis of glial brain tumors of different malignancy grade.

scholarly journals P11.28 Alteration of blood brain barrier (BBB) permeability by Tumor Treating Fields (TTFields) in vivo

2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii49-iii49
Author(s):  
A F Keßler ◽  
E Salvador ◽  
D Domröse ◽  
M Burek ◽  
C Tempel Brami ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Blood Brain Barrier ◽  
Brain Barrier ◽  
Dce Mri ◽  
Tumor Treating Fields ◽  
Blood Brain ◽  
Vessel Structure ◽  
Bbb Permeability ◽  
The Brain

Abstract BACKGROUND Alternating electric fields with intermediate frequency (100 - 300 kHz) and low intensity (1 - 3 V/cm), known as Tumor Treating Fields (TTFields), have been established as a novel adjuvant therapy for glioblastoma (GBM) patients. The blood brain barrier (BBB) tightly controls the influx of the majority of compounds from blood to brain. Due to this regulation, the BBB may block delivery of drugs for treatment of brain tumors, in particular GBM. In this study, we investigated the influence of TTFields on BBB permeability in vivo. MATERIAL AND METHODS For determination of BBB permeability, rats were treated with 100 kHz TTFields for 72 h. At the end of treatment, rats were i.v. injected with Evan′s Blue (EB), which binds Albumin (~70 kDa) upon injection to the blood. EB was extracted after brain homogenization and quantified at 610 nm. In addition, cryosections of rat brains were prepared following TTFields application at 100 kHz for 72 h, and sections were stained for Claudin 5, Occludin and immunoglobulin G (IgG) to assess vessel structure. Moreover, serial dynamic contrast-enhanced DCE-MRI with Gadolinium contrast agent (Gd) was performed before and after TTFields application. RESULTS In vivo, the EB accumulation in the brain was significantly increased by application of TTFields to the rat head. Claudin 5 and Occludin staining was visible in vessel endothelial cells and localized at the cells’ edges in control cryosections of rat brains. In TTFields-treated rats, the vessel structure became diffuse; Claudin 5 and Occludin were delocalized and IgG was found throughout the brain tissue and not solely inside the vessels, as it is normally the case. Serial DCE-MRI demonstrated significantly increased accumulation of Gd in the brain, detected directly after 72 h of TTFields application. 96 h after end of TTFields treatment the effect on the BBB disappeared and no difference in contrast enhancement between controls and TTFields treated animals was observable. CONCLUSION Application of TTFields at 100 kHz could have the potential to deliver drugs to the brain, which normally are unable to cross the BBB by altering BBB integrity and permeability. Utilizing TTFields to open the BBB and its subsequent recovery, as demonstrated by the data presented herein, could lead to a clinical approach of drug delivery for treatment of malignant brain tumors and other diseases of the central nervous system. These results will be further validated in clinical trials.

scholarly journals Comparison of dual-echo DSC-MRI- and DCE-MRI-derived contrast agent kinetic parameters

2012 ◽  
Vol 30 (7) ◽  
pp. 944-953 ◽  
Author(s):  
C. Chad Quarles ◽  
John C. Gore ◽  
Lei Xu ◽  
Thomas E. Yankeelov
Keyword(s):  
Contrast Agent ◽  
Kinetic Parameters ◽  
Dce Mri ◽  
Dsc Mri ◽  
Dual Echo

scholarly journals Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors

2020 ◽  
Vol 102 ◽  
pp. 101769 ◽  
Author(s):  
Jakub Nalepa ◽  
Pablo Ribalta Lorenzo ◽  
Michal Marcinkiewicz ◽  
Barbara Bobek-Billewicz ◽  
Pawel Wawrzyniak ◽  
...  
Keyword(s):  
Deep Learning ◽  
Brain Tumors ◽  
Dce Mri

Optimization of DCE-MRI protocol for the assessment of patients with brain tumors

2016 ◽  
Vol 34 (9) ◽  
pp. 1242-1247 ◽  
Author(s):  
Moran Artzi ◽  
Gilad Liberman ◽  
Guy Nadav ◽  
Deborah T. Blumenthal ◽  
Felix Bokstein ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Dce Mri ◽  
Mri Protocol

In vivo correlation between semi-quantitative hemodynamic parameters and Ktrans derived from DCE-MRI of brain tumors

2012 ◽  
Vol 22 (2) ◽  
pp. 132-136 ◽  
Author(s):  
Chen Chih-Feng ◽  
Hsu Ling-Wei ◽  
Lui Chun-Chung ◽  
Lee Chen-Chang ◽  
Weng Hsu-Huei ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Hemodynamic Parameters ◽  
Dce Mri
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