scholarly journals Validation of an automatic tool for the measurement of brain atrophy and white matter hyperintensity in clinical routine: QyScore ®

2020 ◽  
Vol 16 (S5) ◽  
Author(s):  
Enrica Cavedo ◽  
Philippe Tran ◽  
Urielle Thoprakarn ◽  
Jean‐Baptiste Martini ◽  
Antoine Movschin ◽  
...  
2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Phoebe Walsh ◽  
Carole H. Sudre ◽  
Emily N. Manning ◽  
Cassidy M. Fiford ◽  
Thomas Veale ◽  
...  

2018 ◽  
Vol 8 (1) ◽  
pp. 138-150 ◽  
Author(s):  
Noriko Ogama ◽  
Takashi Sakurai ◽  
Naoki Saji ◽  
Toshiharu Nakai ◽  
Shumpei Niida ◽  
...  

Background/Aims: Behavioral and psychological symptoms of dementia (BPSD) are exhibited in most patients with Alzheimer disease (AD). Although white matter hyperintensity (WMH) is often observed with AD, the precise role of WMH in BPSD remains unclear. The current study aimed to identify the impact of regional WMH on specific features of BPSD in persons with mild to moderate AD and amnestic mild cognitive impairment (aMCI). Methods: A sample of 256 female outpatients with AD (n = 217) and aMCI (n = 39) were recruited. We assessed BPSD using the Dementia Behavior Disturbance Scale. WMH and brain atrophy were evaluated using an automatic segmentation program. Regional WMH was evaluated as periventricular hyperintensity (PVH) and deep WMH in frontal, temporal, occipital, and parietal lobes. Results: Whole-brain WMH was associated with verbal aggressiveness. In multivariate analysis, PVH in the frontal lobe was independently associated with verbal aggressiveness after adjustment for brain atrophy and clinical confounders. Conclusion: The current results indicated that PVH in the frontal lobe was independently associated with verbal aggressiveness.


2019 ◽  
Vol 9 (7) ◽  
pp. 170 ◽  
Author(s):  
Omar M. Al-Janabi ◽  
Christopher E. Bauer ◽  
Larry B. Goldstein ◽  
Richard R. Murphy ◽  
Ahmed A. Bahrani ◽  
...  

Subcortical white matter hyperintensities (WMHs) in the aging population frequently represent vascular injury that may lead to cognitive impairment. WMH progression is well described, but the factors underlying WMH regression remain poorly understood. A sample of 351 participants from the Alzheimer’s Disease Neuroimaging Initiative 2 (ADNI2) was explored who had WMH volumetric quantification, structural brain measures, and cognitive measures (memory and executive function) at baseline and after approximately 2 years. Selected participants were categorized into three groups based on WMH change over time, including those that demonstrated regression (n = 96; 25.5%), stability (n = 72; 19.1%), and progression (n = 209; 55.4%). There were no significant differences in age, education, sex, or cognitive status between groups. Analysis of variance demonstrated significant differences in atrophy between the progression and both regression (p = 0.004) and stable groups (p = 0.012). Memory assessments improved over time in the regression and stable groups but declined in the progression group (p = 0.003; p = 0.018). WMH regression is associated with decreased brain atrophy and improvement in memory performance over two years compared to those with WMH progression, in whom memory and brain atrophy worsened. These data suggest that WMHs are dynamic and associated with changes in atrophy and cognition.


2011 ◽  
Vol 7 ◽  
pp. S6-S7
Author(s):  
Josephine Barnes ◽  
Owen Carmichael ◽  
Kelvin Leung ◽  
Christopher Schwarz ◽  
Gerard Ridgway ◽  
...  

2007 ◽  
Vol 254 (6) ◽  
pp. 713-721 ◽  
Author(s):  
Michael J. Firbank ◽  
Rebecca M. Wiseman ◽  
Emma J. Burton ◽  
Brian K. Saxby ◽  
John T. O’Brien ◽  
...  

Author(s):  
Enrica Cavedo ◽  
Philippe Tran ◽  
Urielle Thoprakarn ◽  
Jean-Baptiste Martini ◽  
Antoine Movschin ◽  
...  

Abstract Objectives QyScore® is an imaging analysis tool certified in Europe (CE marked) and the US (FDA cleared) for the automatic volumetry of grey and white matter (GM and WM respectively), hippocampus (HP), amygdala (AM), and white matter hyperintensity (WMH). Here we compare QyScore® performances with the consensus of expert neuroradiologists. Methods Dice similarity coefficient (DSC) and the relative volume difference (RVD) for GM, WM volumes were calculated on 50 3DT1 images. DSC and the F1 metrics were calculated for WMH on 130 3DT1 and FLAIR images. For each index, we identified thresholds of reliability based on current literature review results. We hypothesized that DSC/F1 scores obtained using QyScore® markers would be higher than the threshold. In contrast, RVD scores would be lower. Regression analysis and Bland–Altman plots were obtained to evaluate QyScore® performance in comparison to the consensus of three expert neuroradiologists. Results The lower bound of the DSC/F1 confidence intervals was higher than the threshold for the GM, WM, HP, AM, and WMH, and the higher bounds of the RVD confidence interval were below the threshold for the WM, GM, HP, and AM. QyScore®, compared with the consensus of three expert neuroradiologists, provides reliable performance for the automatic segmentation of the GM and WM volumes, and HP and AM volumes, as well as WMH volumes. Conclusions QyScore® represents a reliable medical device in comparison with the consensus of expert neuroradiologists. Therefore, QyScore® could be implemented in clinical trials and clinical routine to support the diagnosis and longitudinal monitoring of neurological diseases. Key Points • QyScore® provides reliable automatic segmentation of brain structures in comparison with the consensus of three expert neuroradiologists. • QyScore® automatic segmentation could be performed on MRI images using different vendors and protocols of acquisition. In addition, the fast segmentation process saves time over manual and semi-automatic methods. • QyScore® could be implemented in clinical trials and clinical routine to support the diagnosis and longitudinal monitoring of neurological diseases.


2011 ◽  
Vol 7 ◽  
pp. S129-S129
Author(s):  
Josephine Barnes ◽  
Owen Carmichael ◽  
Charles DeCarli ◽  
Martin Rossor ◽  
Geert-Jan Biessels ◽  
...  

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