Multi‐center evaluation of stability and reproducibility of quantitative MRI measures in healthy calf muscles

2019 ◽  
Author(s):  
Lara Schlaffke ◽  
Robert Rehmann ◽  
Marlena Rohm ◽  
Louise A.M. Otto ◽  
Alberto Luca ◽  
...  
Keyword(s):  
Quantitative Mri ◽  
Healthy Calf ◽  
Calf Muscles

scholarly journals Integrated treadmill stress testing and MR relaxometry (T1, T2, T2*): response in healthy calf muscles

2014 ◽  
Vol 16 (S1) ◽  
Author(s):  
Juliet Varghese ◽  
Debbie Scandling ◽  
Jason Craft ◽  
Subha V Raman ◽  
Orlando P Simonetti ◽  
...  
Keyword(s):  
Stress Testing ◽  
Mr Relaxometry ◽  
Healthy Calf ◽  
Calf Muscles ◽  
Treadmill Stress

3D Microstructural Fiber Tracking of the Human Calf Muscles in Individuals With and Without Type 2 Diabetes during Rest and Exercise

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 632-P
Author(s):  
MASOUD EDALATI ◽  
CHRISTOPHER J. SORENSEN ◽  
MARY HASTINGS ◽  
MOHAMED A. ZAYED ◽  
MICHAEL J. MUELLER ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Fiber Tracking ◽  
Human Calf ◽  
Calf Muscles ◽  
Rest And Exercise

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.

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
Sign in / Sign up

Export Citation Format

Share Document