scholarly journals Multimodal MRI, have we found the ultimate tool for the diagnosis of plexopathy?

Author(s):  
MAYER Théo ◽  
KOCH Guillaume
Keyword(s):  
2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S392-S392
Author(s):  
Nadja Van Camp ◽  
Koen Van Laere ◽  
Ruth Vreys ◽  
Marleen Verhoye ◽  
Erwin Lauwers ◽  
...  

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Wei Peng ◽  
Xiaojuan Hong ◽  
Yaru Huangfu ◽  
Zhao Sun ◽  
Wei Shen ◽  
...  

Abstract Background Many patients with chronic insomnia disorder (CID) have gastrointestinal (GI) symptoms. First-line insomnia medications do not treat GI problems. Acupuncture has a comprehensive regulative action on both CID and GI disorder and is receiving increasing attention. Recent studies indicate that both CID and GI diseases may cause abnormal brain activity. However, the neurological mechanism underlying the effect of acupuncture on such diseases is still unclear. The aim of this study is to explore the pathological mechanisms of CID with GI discomfort, as well as the main response characteristics of acupuncture treatment from multiple perspectives using multimodal magnetic resonance imaging (MRI). Methods A total of 60 participants with CID and GI disorders will be randomly divided into two groups (real acupuncture group and sham acupuncture group; ratio of 1:1). Patients will receive 20 sessions (five sessions per week) of real acupuncture treatment or sham acupuncture treatment. The primary outcome is the aggregate score on the Pittsburgh Sleep Quality Index. Secondary outcomes are scores on the Gastrointestinal Symptom Rating Scale, Self-Rating Anxiety Scale, and Self-Rating Depression Scale. Multimodal MRI scans and clinical assessments will be performed both at baseline and post-treatment. Another 30 age-, sex-, and education-matched healthy subjects will be recruited as controls and will receive MRI scans and clinical evaluations. Discussion This study aims to provide scientific evidence for the mechanism of acupuncture in treating CID with GI disorder using multimodal MRI imaging data on brain structure, function, and metabolism. Trial registration Chinese Clinical Trial Registry, ChiCTR1800017092 (URL: http://www.chictr.org.cn/showproj.aspx?proj=27173). Registered on July 11, 2018.


2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Yu Zhang ◽  
Norbert Schuff ◽  
Christopher Ching ◽  
Duygu Tosun ◽  
Wang Zhan ◽  
...  

Most MRI studies of Alzheimer's disease (AD) and frontotemporal dementia (FTD) have assessed structural, perfusion and diffusion abnormalities separately while ignoring the relationships across imaging modalities. This paper aimed to assess brain gray (GM) and white matter (WM) abnormalities jointly to elucidate differences in abnormal MRI patterns between the diseases. Twenty AD, 20 FTD patients, and 21 healthy control subjects were imaged using a 4 Tesla MRI. GM loss and GM hypoperfusion were measured using high-resolution T1 and arterial spin labeling MRI (ASL-MRI). WM degradation was measured with diffusion tensor imaging (DTI). Using a new analytical approach, the study found greater WM degenerations in FTD than AD at mild abnormality levels. Furthermore, the GM loss and WM degeneration exceeded the reduced perfusion in FTD whereas, in AD, structural and functional damages were similar. Joint assessments of multimodal MRI have potential value to provide new imaging markers for improved differential diagnoses between FTD and AD.


2010 ◽  
Vol 469 (2) ◽  
pp. 214-218 ◽  
Author(s):  
Andrea Cherubini ◽  
Ilaria Spoletini ◽  
Patrice Péran ◽  
Giacomo Luccichenti ◽  
Margherita Di Paola ◽  
...  

2009 ◽  
Vol 285 ◽  
pp. S231
Author(s):  
Q.K. Bai ◽  
Z.G. Zhao ◽  
H.J. Sui ◽  
X.H. Xie ◽  
J. Chen

2016 ◽  
Vol 18 (12) ◽  
pp. 1680-1687 ◽  
Author(s):  
Ken Chang ◽  
Biqi Zhang ◽  
Xiaotao Guo ◽  
Min Zong ◽  
Rifaquat Rahman ◽  
...  

Abstract Background Bevacizumab is a humanized antibody against vascular endothelial growth factor approved for treatment of recurrent glioblastoma. There is a need to discover imaging biomarkers that can aid in the selection of patients who will likely derive the most survival benefit from bevacizumab. Methods The aim of the study was to examine if pre- and posttherapy multimodal MRI features could predict progression-free survival and overall survival (OS) for patients with recurrent glioblastoma treated with bevacizumab. The patient population included 84 patients in a training cohort and 42 patients in a testing cohort, separated based on pretherapy imaging date. Tumor volumes of interest were segmented from contrast-enhanced T1-weighted and fluid attenuated inversion recovery images and were used to derive volumetric, shape, texture, parametric, and histogram features. A total of 2293 pretherapy and 9811 posttherapy features were used to generate the model. Results Using standard radiographic assessment criteria, the hazard ratio for predicting OS was 3.38 (P < .001). The hazard ratios for pre- and posttherapy features predicting OS were 5.10 (P < .001) and 3.64 (P < .005) for the training and testing cohorts, respectively. Conclusion With the use of machine learning techniques to analyze imaging features derived from pre- and posttherapy multimodal MRI, we were able to develop a predictive model for patient OS that could potentially assist clinical decision making.


2021 ◽  
Vol 84 ◽  
pp. 122-128
Author(s):  
Patricia Klobusiakova ◽  
Jiri Mekyska ◽  
Lubos Brabenec ◽  
Zoltan Galaz ◽  
Vojtech Zvoncak ◽  
...  

2020 ◽  
Vol 29 (12) ◽  
pp. 105271
Author(s):  
Kunakorn Atchaneeyasakul ◽  
David S. Liebeskind ◽  
Reza Jahan ◽  
Sidney Starkman ◽  
Latisha Sharma ◽  
...  

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