Multicenter Standardized 18F-FDG PET Diagnosis of Mild Cognitive Impairment, Alzheimer's Disease, and Other Dementias

By Lisa Mosconi, W. Tsui, K. Herholz, A. Pupi, A. Drzezga, G. Lucignani, Eric M. Reiman, V. Holthoff, Elke Kalbe, S. Sorbi and 8 more. Journal of Nuclear Medicine, 2008

730 citations recorded by the source corpus.

Subfields: Physiology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/650b28992749a9bb93d0311eee2056abcafb3eb4

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Citations in the corpus

Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI (2009, neutral): “The use of continuous outcome variables measuring cognition (for example, Chetelat et al., 2005; Herholz et al., 1999; Jagust et al., 2006; Mosconi et al., 2008a) may become increasingly important as clinical trials move to enroll milder patients and measure cognitive change, rather than…”
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis (2013, background): “…2010; Yao et al. 2012; Westman et al. 2012; Ewers et al. 2012; Zhou et al. 2011; Li et al. 2012; Liu et al. 2012), mean signal intensities from PET (Mosconi et al. 2008; Walhovd et al. 2010; Nordberg et al. 2010; Zhang et al. 2011; Zhang and Shen 2012; Gray et al. 2013), and t -tau, p -tau, and b…”
Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease (2009, positive): “These AUC values are more accurate than prior MRI (Xu et al ., 2000; Devanand et al ., 2007; Colliot et al ., 2008; Kloppel et al ., 2008), FDG–PET (Mosconi et al ., 2008; Jack et al ., 2008) or amyloid-binding PET studies (Jack et al ., 2008; Li et al ., 2008).”
A review on neuroimaging‐based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages (2017, positive): “An association between AD and hypometabolism was found in several brain regions, such as the parieto–temporal and posterior cingulate cortices (Mosconi et al., 2008), and hippocampus (Mosconi et al., 2005).”
Brain imaging in Alzheimer disease. (2012, background): “Its principal value is twofold: first, clinical utility has been documented when confounding conditions (e.g., DLB or frontotemporal lobar degeneration [FTLD]), are in question.”
Vascular dysfunction – the disregarded partner of Alzheimer’s disease (2019, neutral): “[84] Mosconi L, Tsui WH, Herholz K, Pupi A, Drzezga A, Lucignani G,”
A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia (2014, methodology): “These statistical parametric mapping procedures provide statistical maps of brain abnormality in single individuals, and are more accurate in detecting early changes and predicting subsequent conversion (Patterson II et al. 2010; Berti et al. 2010; Chételat et al. 2003; Mosconi et al. 2008; Caroli e”