scholarly journals Quantitative MRI of Endothelial Permeability and (Dys)function in Atherosclerosis

10.3791/62724 ◽  
2021 ◽  
Author(s):  
Begoña Lavin ◽  
Marcelo E. Andia ◽  
Prakash Saha ◽  
René M. Botnar ◽  
Alkystis Phinikaridou
Keyword(s):  
Endothelial Permeability ◽  
Quantitative Mri

Quantification of perfusion and endothelial permeability in inflammatory joint diseases

2009 ◽  
Vol 181 (01) ◽  
Author(s):  
S Weckbach ◽  
SP Sourbron ◽  
M Notohamiprodjo ◽  
H Hatz ◽  
MF Reiser ◽  
...  
Keyword(s):  
Endothelial Permeability ◽  
Joint Diseases ◽  
Inflammatory Joint Diseases

An Artificial Neural Network to Evaluate Cartilage Collagen and Proteoglycan Fractions Based on Multiparametric Quantitative MRI Techniques

2019 ◽  
Author(s):  
Johannes Thüring ◽  
Kevin Linka ◽  
Christiane Kuhl ◽  
Sven Nebelung ◽  
Daniel Truhn
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Quantitative Mri ◽  
Artificial Neural

Identification and Temporal Characterization of Features Associated with the Conversion from Mild Cognitive Impairment to Alzheimer’s Disease

2018 ◽  
Vol 15 (8) ◽  
pp. 751-763 ◽  
Author(s):  
Antonio Martinez-Torteya ◽  
Hugo Gomez-Rueda ◽  
Victor Trevino ◽  
Joshua Farber ◽  
Jose Tamez-Pena ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Neuropsychological Tests ◽  
Quantitative Mri ◽  
Rank Test ◽  
Longitudinal Models ◽  
Log Rank Test ◽  
Medical Histories

Background: Diagnosing Alzheimer’s disease (AD) in its earliest stages is important for therapeutic and support planning. Similarly, being able to predict who will convert from mild cognitive impairment (MCI) to AD would have clinical implications. Objectives: The goals of this study were to identify features from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database associated with the conversion from MCI to AD, and to characterize the temporal evolution of that conversion. Methods: We screened the publically available ADNI longitudinal database for subjects with MCI who have developed AD (cases: n=305), and subjects with MCI who have remained stable (controls: n=250). Analyses included 1,827 features from laboratory assays (n=12), quantitative MRI scans (n=1,423), PET studies (n=136), medical histories (n=72), and neuropsychological tests (n=184). Statistical longitudinal models identified features with significant differences in longitudinal behavior between cases and matched controls. A multiple-comparison adjusted log-rank test identified the capacity of the significant predictive features to predict early conversion. Results: 411 features (22.5%) were found to be statistically different between cases and controls at the time of AD diagnosis; 385 features were statistically different at least 6 months prior to diagnosis, and 28 features distinguished early from late conversion, 20 of which were obtained from neuropsychological tests. In addition, 69 features (3.7%) had statistically significant changes prior to AD diagnosis. Conclusion: Our results characterized features associated with disease progression from MCI to AD, and, in addition, the log-rank test identified features which are associated with the risk of early conversion.

Perspectives on the Therapeutic Benefits of Arginine Supplementation in Cancer Treatment

2019 ◽  
Vol 19 (7) ◽  
pp. 913-920
Author(s):  
Fabiani L. R. Beal ◽  
Pedro R. Beal ◽  
Juliana R. Beal ◽  
Natan Carvalho-Neves ◽  
Octávio L. Franco ◽  
...  
Keyword(s):  
Amino Acid ◽  
Side Effects ◽  
Cancer Treatment ◽  
Treatment Strategies ◽  
Endothelial Permeability ◽  
The Elderly ◽  
Therapeutic Benefits ◽  
Cell Growth And Differentiation ◽  
The Cost ◽  
Arginine Supplementation

Background: Arginine is considered a semi-essential amino acid in healthy adults and the elderly. This amino acid seems to improve the immune system, stimulate cell growth and differentiation, and increase endothelial permeability, among other effects. For those reasons, it has been theorized that arginine supplementation may be used as an adjuvant to conventional cancer therapy treatments. Objective: This review aims to evaluate the existing knowledge of the scientific community on arginine supplementation in order to improve the efficacy of current cancer treatment. Results: Despite the continued efforts of science to improve treatment strategies, cancer remains one of the greatest causes of death on the planet in adults and elderly people. Chemo and radiotherapy are still the most effective treatments but at the cost of significant side effects. Conclusion: Thus, new therapeutic perspectives have been studied in recent years, to be used in addition to traditional treatments or not, seeking to treat or even cure the various types of cancer with fewer side effects.

Routine EEG and Temporal Lobe Epilepsy: Relation to Long-Term EEG Monitoring, Quantitative MRI, and Operative Outcome

Epilepsia ◽  
1996 ◽  
Vol 37 (7) ◽  
pp. 651-656 ◽  
Author(s):  
Gregory D. Cascino ◽  
Max R. Trenerry ◽  
Elson L. So ◽  
Frank W. Sharbrough ◽  
Cheolsu Shin ◽  
...  
Keyword(s):  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Quantitative Mri ◽  
Eeg Monitoring ◽  
Operative Outcome

Water capillary absorption in porous media in different wettability conditions studied by quantitative MRI and X-ray CT

2007 ◽  
Vol 25 (4) ◽  
pp. 558-559
Author(s):  
M. Gombia ◽  
V. Bortolotti ◽  
P. Fantazzini ◽  
M. Camaiti ◽  
T. Schillaci ◽  
...  
Keyword(s):  
Porous Media ◽  
Quantitative Mri ◽  
Capillary Absorption ◽  
X Ray

scholarly journals Multi‐Site Multi‐Vendor Validation of a Quantitative MRI and CT Compatible Fat Phantom

2021 ◽  
Author(s):  
Ruiyang Zhao ◽  
Diego Hernando ◽  
David T. Harris ◽  
Louis A. Hinshaw ◽  
Ke Li ◽  
...  
Keyword(s):  
Quantitative Mri
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