scholarly journals Quantitative magnetization transfer imaging of rodent glioma using selective inversion recovery

2013 ◽  
Vol 27 (3) ◽  
pp. 253-260 ◽  
Author(s):  
Junzhong Xu ◽  
Ke Li ◽  
Zhongliang Zu ◽  
Xia Li ◽  
Daniel F. Gochberg ◽  
...  
2020 ◽  
Vol 68 ◽  
pp. 66-74 ◽  
Author(s):  
Matthew J. Cronin ◽  
Junzhong Xu ◽  
Francesca Bagnato ◽  
Daniel F. Gochberg ◽  
John C. Gore ◽  
...  

2011 ◽  
Vol 66 (5) ◽  
pp. 1346-1352 ◽  
Author(s):  
Richard D. Dortch ◽  
Ke Li ◽  
Daniel F. Gochberg ◽  
E. Brian Welch ◽  
Adrienne N. Dula ◽  
...  

2018 ◽  
Vol 80 (5) ◽  
pp. 1824-1835 ◽  
Author(s):  
Richard D. Dortch ◽  
Francesca Bagnato ◽  
Daniel F. Gochberg ◽  
John C. Gore ◽  
Seth A. Smith

2019 ◽  
Vol 26 (4) ◽  
pp. 457-467 ◽  
Author(s):  
Francesca Bagnato ◽  
Giulia Franco ◽  
Fei Ye ◽  
Run Fan ◽  
Patricia Commiskey ◽  
...  

Background:Assessing the degree of myelin injury in patients with multiple sclerosis (MS) is challenging due to the lack of magnetic resonance imaging (MRI) methods specific to myelin quantity. By measuring distinct tissue parameters from a two-pool model of the magnetization transfer (MT) effect, quantitative magnetization transfer (qMT) may yield these indices. However, due to long scan times, qMT has not been translated clinically.Objectives:We aim to assess the clinical feasibility of a recently optimized selective inversion recovery (SIR) qMT and to test the hypothesis that SIR-qMT-derived metrics are informative of radiological and clinical disease-related changes in MS.Methods:A total of 18 MS patients and 9 age- and sex-matched healthy controls (HCs) underwent a 3.0 Tesla (3 T) brain MRI, including clinical scans and an optimized SIR-qMT protocol. Four subjects were re-scanned at a 2-week interval to determine inter-scan variability.Results:SIR-qMT measures differed between lesional and non-lesional tissue ( p < 0.0001) and between normal-appearing white matter (NAWM) of patients with more advanced disability and normal white matter (WM) of HCs ( p < 0.05). SIR-qMT measures were associated with lesion volumes, disease duration, and disability scores ( p ⩽ 0.002).Conclusion:SIR-qMT at 3 T is clinically feasible and predicts both radiological and clinical disease severity in MS.


2018 ◽  
Vol 28 (4) ◽  
pp. 380-388 ◽  
Author(s):  
Francesca Bagnato ◽  
Simon Hametner ◽  
Giulia Franco ◽  
Siddharama Pawate ◽  
Subramaniam Sriram ◽  
...  

2010 ◽  
Vol 64 (2) ◽  
pp. 491-500 ◽  
Author(s):  
Ke Li ◽  
Zhongliang Zu ◽  
Junzhong Xu ◽  
Vaibhav A. Janve ◽  
John C. Gore ◽  
...  

2007 ◽  
Vol 28 (10) ◽  
pp. 1938-1942 ◽  
Author(s):  
A.C.G.M. van Es ◽  
W.M. van der Flier ◽  
F. Admiraal Behloul ◽  
H. Olofsen ◽  
E.L.E.M. Bollen ◽  
...  

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