High resolution quantitative relaxation and diffusion mri of three different experimental brain tumors in rat

1995 ◽  
Vol 34 (6) ◽  
pp. 835-844 ◽  
Author(s):  
Manfred Eis ◽  
Thomas Els ◽  
Mathias Hoehn-Berlage
Keyword(s):  
High Resolution ◽  
Brain Tumors ◽  
Diffusion Mri ◽  
Experimental Brain Tumors ◽  
And Diffusion

Clinically indicated functional and diffusion MRI in children: The Tübingen experience

2013 ◽  
Vol 44 (S 01) ◽  
Author(s):  
M Wilke ◽  
S Groeschel ◽  
M Schuhmann ◽  
S Rona ◽  
M Alber ◽  
...  
Keyword(s):  
Diffusion Mri ◽  
And Diffusion

scholarly journals Multiparametric MRI Texture Analysis in Prediction of Glioma Biomarker Status: Added Value of MR Diffusion

2021 ◽  
Author(s):  
Shingo Kihira ◽  
Nadejda Tsankova ◽  
Adam Bauer ◽  
Yu Sakai ◽  
Keon Mahmoudi ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Diffusion Mri ◽  
Test Group ◽  
Multiparametric Mri ◽  
Added Value ◽  
Conventional Mri ◽  
Mri Features ◽  
Wide Range ◽  
Mr Diffusion ◽  
And Diffusion

Abstract Background Early identification of glioma molecular phenotypes can lead to understanding of patient prognosis and treatment guidance. We aimed to develop a multiparametric MRI texture analysis model using a combination of conventional and diffusion MRI to predict a wide range of biomarkers in patients with glioma. Methods In this retrospective study, patients were included if they 1) had diagnosis of gliomas with known IDH1, EGFR, MGMT, ATRX, TP53 and PTEN status from surgical pathology and 2) had preoperative MRI including FLAIR, T1c+ and diffusion for radiomic texture analysis. Statistical analysis included logistic regression and receiver-operating characteristic (ROC) curve analysis to determine the optimal model for predicting glioma biomarkers. A comparative analysis between ROCs (conventional only vs. conventional + diffusion) was performed. Results From a total of 111 patients included, 91 (82%) were categorized to training and 20 (18%) to test datasets. Constructed cross-validated model using a combination of texture features from conventional and diffusion MRI resulted in overall AUC/accuracy of 1/79% for IDH1, 0.99/80% for ATRX, 0.79/67% for MGMT, and 0.77/66% for EGFR. The addition of diffusion data to conventional MRI features significantly (p<0.05) increased predictive performance for IDH1, MGMT and ATRX. The overall accuracy of the final model in predicting biomarkers in the test group was 80% (IDH1), 70% (ATRX), 70% (MGMT) and 75% (EGFR). Conclusion Addition of MR diffusion to conventional MRI features provides added diagnostic value in preoperative determination of IDH1, MGMT, and ATRX in patients with glioma.

scholarly journals Functional and diffusion MRI reveal the neurophysiological basis of neonates’ noxious-stimulus evoked brain activity

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Luke Baxter ◽  
Fiona Moultrie ◽  
Sean Fitzgibbon ◽  
Marianne Aspbury ◽  
Roshni Mansfield ◽  
...  
Keyword(s):  
White Matter ◽  
Prediction Model ◽  
Resting State ◽  
Early Life ◽  
Diffusion Mri ◽  
Brain Activity ◽  
Noxious Stimulus ◽  
Noxious Stimulation ◽  
Human Connectome Project ◽  
And Diffusion

AbstractUnderstanding the neurophysiology underlying neonatal responses to noxious stimulation is central to improving early life pain management. In this neonatal multimodal MRI study, we use resting-state and diffusion MRI to investigate inter-individual variability in noxious-stimulus evoked brain activity. We observe that cerebral haemodynamic responses to experimental noxious stimulation can be predicted from separately acquired resting-state brain activity (n = 18). Applying this prediction model to independent Developing Human Connectome Project data (n = 215), we identify negative associations between predicted noxious-stimulus evoked responses and white matter mean diffusivity. These associations are subsequently confirmed in the original noxious stimulation paradigm dataset, validating the prediction model. Here, we observe that noxious-stimulus evoked brain activity in healthy neonates is coupled to resting-state activity and white matter microstructure, that neural features can be used to predict responses to noxious stimulation, and that the dHCP dataset could be utilised for future exploratory research of early life pain system neurophysiology.

scholarly journals Imaging Experimental Brain Tumors with 1-Aminocyclopentane Carboxylic Acid and Alpha-Aminoisobutyric Acid: Comparison to Fluorodeoxyglucose and Diethylenetriaminepentaacetic Acid in Morphologically Defined Tumor Regions

1997 ◽  
Vol 17 (11) ◽  
pp. 1239-1253 ◽  
Author(s):  
Hisao Uehara ◽  
Tadashi Miyagawa ◽  
Juri Tjuvajev ◽  
Revathi Joshi ◽  
Bradley Beattie ◽  
...  
Keyword(s):  
Carboxylic Acid ◽  
Brain Tumors ◽  
Vascular Permeability ◽  
Cell Density ◽  
Low Grade ◽  
Acid Uptake ◽  
Diethylenetriaminepentaacetic Acid ◽  
Experimental Brain Tumors ◽  
Walker 256 ◽  
Walker 256 Tumors

The goal of this study was to evaluate the differences and define the advantages of imaging experimental brain tumors in rats with two nonmetabolized amino acids, 1-aminocyclopentane carboxylic (ACPC) acid and α-aminoisobutyric (AIB) acid compared with imaging with fluorodeoxyglucose (FDG) or the gallium-diethylenetriaminepentaacetic acid chelate (Ga-DTPA). 1-aminocyclopentane carboxylic acid, AIB, and FDG autoradiograms were obtained 60 minutes after intravenous injection to simulate positron emission tomography (PET) imaging, whereas the Ga-DTPA autoradiograms were obtained 5 or 10 minutes after injection to simulate gadolinium (Gd)-DTPA–enhanced magnetic resonance (MR) images. Three experimental tumors were studied (C6, RG2, and Walker 256) to provide a range of tumor types. Triple-label quantitative autoradiography was performed, and parametric images of the apparent distribution volume (Va, mL/g) for ACPC or AIB, relative glucose metabolism (R, μmol/100 g/min), vascular permeability to Ga-DTPA (K1, μL/min/g), and histology were obtained from the same tissue section. The four images were registered in an image array processor, and regions of interest in tumor and contralateral brain were defined on morphologic criteria (histology) and were transferred to the autoradiographic images. A comparative analysis of all measured values was performed. The location and morphologic characteristics of the tumor had an effect on the images and measurements of Va, R, and K1. Meningeal extensions of all three tumors consistently had the highest amino acid uptake (Va) and vascular permeability (K1) values, and subcortical portions of the tumors usually had the lowest values. Va and R (FDG) values generally were higher in tumor regions with high-cell density and lower in regions with low-cell density. Tumor areas identified as “impending” necrosis on morphologic criteria consistently had high R values, but little or no change in Va or K1. Tumor necrosis was seen consistently only in the larger Walker 256 tumors; low values of R and Va for AIB (less for ACPC) were measured in the necrotic-appearing regions, whereas K1 was not different from the mean tumor value. The highest correlations were observed between vascular permeability (K1 for Ga-DTPA) and Va for AIB in all three tumors; little or no correlation between vascular permeability and R was observed. The advantages of ACPC and AIB imaging were most convincingly demonstrated in C6 gliomas and in Walker 256 tumors. 1-aminocyclopentane was substantially better than FDG or Ga-DTPA for identifying tumor infiltration of adjacent brain tissue beyond the macroscopic border of the tumor; ACPC also may be useful for identifying low-grade tumors with an intact blood–brain barrier. Contrast-enhancing regions of the tumors were visualized more clearly with AIB than with FDG or Ga-DTPA; viable and necrotic-appearing tumor regions could be distinguished more readily with AIB than with FDG. [11C]-labeled ACPC and AIB are likely to have similar advantages for imaging human brain tumors with PET.

scholarly journals Visual recovery after perinatal stroke evidenced by functional and diffusion MRI: case report

BMC Neurology ◽  
2005 ◽  
Vol 5 (1) ◽  
Author(s):  
Mohamed L Seghier ◽  
François Lazeyras ◽  
Slava Zimine ◽  
Sonja Saudan-Frei ◽  
Avinoam B Safran ◽  
...  
Keyword(s):  
Case Report ◽  
Diffusion Mri ◽  
Visual Recovery ◽  
Perinatal Stroke ◽  
And Diffusion

scholarly journals Cell-mediated Immunity of Experimental Brain Tumors

1983 ◽  
Vol 23 (2) ◽  
pp. 109-115
Author(s):  
Katsuzo KIYA ◽  
Hirofumi OKAMOTO ◽  
Kiyoshi HARADA ◽  
Tohru UOZUMI ◽  
Tetsuya TOGE ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Cell Mediated Immunity ◽  
Experimental Brain Tumors
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