Monitoring of disease progression by bioluminescence imaging and magnetic resonance imaging in an animal model of hematologic malignancy

2007 ◽  
Vol 35 (3) ◽  
pp. 407-415 ◽  
Author(s):  
Yusuke Inoue ◽  
Kiyoko Izawa ◽  
Arinobu Tojo ◽  
Yukihiro Nomura ◽  
Rieko Sekine ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Animal Model ◽  
Magnetic Resonance ◽  
Disease Progression ◽  
Bioluminescence Imaging ◽  
Hematologic Malignancy ◽  
Resonance Imaging

scholarly journals Comparison of Temporary Epiphysiodesis With RigidTacks™ and Blount‐Staples in a Porcine Animal Model Using Magnetic Resonance Imaging

2019 ◽  
Vol 38 (5) ◽  
pp. 946-953
Author(s):  
Hauke Hillebrand ◽  
Julia Sattelberger ◽  
Georg Gosheger ◽  
Adrien Frommer ◽  
Bjarne Moller‐Madsen ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Animal Model ◽  
Magnetic Resonance ◽  
Resonance Imaging

scholarly journals Experimental design and sample size considerations in longitudinal magnetic resonance imaging-based biomarker detection for multiple sclerosis

2020 ◽  
Vol 29 (9) ◽  
pp. 2617-2628 ◽  
Author(s):  
Menghan Hu ◽  
Matthew K Schindler ◽  
Blake E Dewey ◽  
Daniel S Reich ◽  
Russell T Shinohara ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Clinical Trials ◽  
Magnetic Resonance ◽  
Sample Size ◽  
Disease Progression ◽  
Multiple Sclerosis Lesion ◽  
Resonance Imaging ◽  
Study Duration ◽  
Multiple Sclerosis Disease

Several modeling approaches have been developed to quantify differences in multiple sclerosis lesion evolution on magnetic resonance imaging to identify the effect of treatment on disease progression. These studies have limited clinical applicability due to onerous scan frequency and lengthy study duration. Efficient methods are needed to reduce the required sample size, study duration, and sampling frequency in longitudinal magnetic resonance imaging studies. We develop a data-driven approach to identify parameters of study design for evaluation of longitudinal magnetic resonance imaging biomarkers of multiple sclerosis lesion evolution. Our design strategies are considerably shorter than those described in previous studies, thus having the potential to lower costs of clinical trials. From a dataset of 36 multiple sclerosis patients with at least six monthly magnetic resonance imagings, we extracted new lesions and performed principal component analysis to estimate a biomarker that recapitulated lesion recovery. We tested the effect of multiple sclerosis disease modifying therapy on the lesion evolution index in three experimental designs and calculated sample sizes needed to appropriately power studies. Our proposed methods can be used to calculate required sample size and scan frequency in observational studies of multiple sclerosis disease progression as well as in designing clinical trials to find effects of treatment on multiple sclerosis lesion evolution.

scholarly journals Role of Changes in Magnetic Resonance Imaging or Clinical Stage in Evaluation of Disease Progression for Men with Prostate Cancer on Active Surveillance

2020 ◽  
Vol 77 (4) ◽  
pp. 501-507 ◽  
Author(s):  
Gregory T. Chesnut ◽  
Emily A. Vertosick ◽  
Nicole Benfante ◽  
Daniel D. Sjoberg ◽  
Jonathan Fainberg ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Disease Progression ◽  
Active Surveillance ◽  
Clinical Stage ◽  
Resonance Imaging

FUNCTIONAL MAGNETIC RESONANCE IMAGING REVEALS SELECTIVE NEURONAL ALTERATIONS IN AN ANIMAL MODEL OF ANHEDONIA

2010 ◽  
Vol 117 (2-3) ◽  
pp. 241
Author(s):  
Melanie S. Keßler ◽  
Ciril M. Waelti ◽  
Sebastien Debilly ◽  
Patrick Mortas ◽  
Markus von Kienlin ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Animal Model ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging
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