scholarly journals Amyloid imaging for differential diagnosis of dementia: incremental value compared to clinical diagnosis and [18F]FDG PET

2018 ◽  
Vol 46 (2) ◽  
pp. 312-323 ◽  
Author(s):  
Sabine Hellwig ◽  
Lars Frings ◽  
Tobias Bormann ◽  
Werner Vach ◽  
Ralph Buchert ◽  
...  
2020 ◽  
Vol 27 ◽  
pp. 102267 ◽  
Author(s):  
Le Gjerum ◽  
Kristian Steen Frederiksen ◽  
Otto Mølby Henriksen ◽  
Ian Law ◽  
Marie Bruun ◽  
...  

2000 ◽  
Vol 12 (1-2) ◽  
pp. 77-86 ◽  
Author(s):  
A. Barnes ◽  
D. Lusman ◽  
J. Patterson ◽  
D. Brown ◽  
D. Wyper

In this study standard patterns of cerebral perfusion based on classifications described in the literature have been chosen and the ability of experienced imaging specialists to categorise the99mTc HMPAO SPECT scans of patients referred to the department for investigation of dementia has been compared before and after the calculation of Statistical Parametric Maps (SPM—Wellcome Dept of Cognitive Neurology). The primary aim was to investigate whether SPM is an effective decision aid and whether it impacts on the confidence of image reporting. The secondary aim was to examine the influence of SPM on the agreement between image reporting and clinical diagnosis. The results showed that there was a slight decrease in agreement between the imaging specialists after the introduction of additional information from SPM (K= 0.57 toK= 0.5) and that agreement between imaging reporting (including information from SPM) and clinical diagnosis was moderate (K= 0.28). This study was able to confirm that SPM is capable of producing meaningful significance maps of individual patients in a routine clinical environment. However, there was no overwhelming evidence that SPM was able to resolve many of the dilemmas associated with the use of SPECT for the differential diagnosis of dementia. In particular, interpretation of SPECT perfusion patterns in dementia is a bigger problem than the initial identification of abnormalities.


2015 ◽  
Vol 45 ◽  
pp. 1149-1158
Author(s):  
Esra ARSLAN ◽  
Özgül EKMEKÇİOĞLU ◽  
Fatma Arzu GÖRTAN ◽  
Zeynep Funda ENGİN AKCAN ◽  
Melih Engin ERKAN ◽  
...  

2004 ◽  
Vol 25 ◽  
pp. S370-S371 ◽  
Author(s):  
Judith L. Heidebrink ◽  
Nancy R. Barbas ◽  
R. Scott Turner ◽  
Christopher M. Clark ◽  
William J. Jagust ◽  
...  

2021 ◽  
Author(s):  
Matthew Ingram ◽  
Sean J Colloby ◽  
Michael J Firbank ◽  
Jim J Lloyd ◽  
John T O'Brien ◽  
...  

We investigated diagnostic characteristics of spatial covariance analysis (SCA) of FDG-PET and HMPAO-SPECT scans in the differential diagnosis of dementia with Lewy bodies (DLB) and Alzheimer's disease (AD), in comparison with visual ratings and region of interest (ROI) analysis. Sixty-seven patients (DLB 29, AD 38) had both HMPAO-SPECT and FDG-PET scans. Spatial covariance patterns were used to separate AD and DLB in an initial derivation group (DLB n=15, AD n=19), before being forward applied to an independent group (DLB n=14, AD n=19). Visual ratings were by consensus, with ROI analysis utilising medial occipital/medial temporal uptake ratios. SCA of HMPAO-SPECT performed poorly (AUC 0.59 +/- 0.10), whilst SCA of FDG-PET (AUC 0.83 +/- 0.07) was significantly better. For FDG-PET, SCA showed similar diagnostic performance to ROI analysis (AUC 0.84 +/- 0.08) and visual rating (AUC 0.82 +/- 0.08). In contrast to ROI analysis, there was little concordance between SCA and visual ratings of FDG-PET scans. We conclude that SCA of FDG-PET outperforms that of HMPAO-SPECT and performed similarly to other analytical approaches, with the potential to improve with larger derivation groups. Compared to visual rating, SCA of FDG-PET relies on different sources of group variance to separate DLB from AD.


2008 ◽  
Vol 33 (6) ◽  
pp. 398-401 ◽  
Author(s):  
Sergio L. Schmidt ◽  
Patricia L. Correa ◽  
Julio C. Tolentino ◽  
Alex C. Manhães ◽  
Renata M. Felix ◽  
...  

2010 ◽  
Vol 6 ◽  
pp. S53-S53
Author(s):  
Stewart Young ◽  
Fabian Wenzel ◽  
Graeme O'Keefe ◽  
Victor Villemagne ◽  
Ralph Buchert ◽  
...  

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