scholarly journals CORTICOBASAL SYNDROME: A PROSPECTIVE STUDY OF CLINICAL PROFILES AND IMAGING BIOMARKERS

2021 ◽  
Author(s):  
Jacy Parmera ◽  
Artur Coutinho ◽  
Isabel Almeida ◽  
Camila Carneiro ◽  
Carla Ono ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Visual Analysis ◽  
Neurodegenerative Disorder ◽  
Motor Dysfunction ◽  
Corticobasal Syndrome ◽  
Imaging Biomarkers ◽  
Cognitive Profiles ◽  
The Individual ◽  
A Prospective Study ◽  
Pet Scans

Background: Corticobasal syndrome (CBS) is neurodegenerative disorder related to multiple underlying pathologies. Objective: To investigated if dividual FDG-PET patterns could distinguish CBS due to Alzheimer’s disease (AD) from other pathologies based on [11C]Pittsburgh Compound-B (PIB)-PET. Methods: Forty-five patients with probable CBS were prospectively evaluated. They underwent FDG-PET and were divided into groups: related to AD (CBS FDG-AD) or non-AD (CBS FDG-nonAD). Thirty patients underwent PIB-PET on a PET-MRI to assess their amyloid status. FDG and PIB-PET were classified individually on visual analysis, and PET-MRI quantitative group analyses were performed. Results: CBS FDG-AD group (33.3%) showed worse cognitive performances, displayed more myoclonus and hallucinations. CBS FDG-nonAD group (66.7%) presented more dystonia, ocular motor dysfunction, perseveration, and dysarthria. All CBS FDG-AD patients tested positive at PIB-PET compared to 3 out of 20 in the non-AD group. The individual FDG-PET classification had 76.92% of sensitivity, 100% of specificity and 88.5% of accuracy to detect positive PIB-PET scans. Individuals with positive and negative PIB-PET showed hypometabolism in temporoparietal areas and in thalamus and brainstem, respectively, disclosing metabolic signatures. Conclusion: CBS is mainly distinguished by two variants (AD and non-AD), with different cognitive profiles and possibly motor features. FDG-PET was useful depicting their specific degeneration patterns and brain amyloid deposition.

scholarly journals Clinical Impact of Digital and Conventional PET Control Databases for Semi-Quantitative Analysis of Brain 18F-FDG Digital PET Scans

2020 ◽  
Author(s):  
Elise Mairal ◽  
Matthieu Doyen ◽  
Thérèse Rivasseau-Jonveaux ◽  
Catherine Malaplate ◽  
Eric Guedj ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Fdg Pet ◽  
Visual Analysis ◽  
Digital Camera ◽  
Visual Interpretation ◽  
Individual Level ◽  
Lower Specificity ◽  
Digital Pet ◽  
The Individual ◽  
Pet Scans

Abstract Purpose: Digital PET cameras markedly improve sensitivity and spatial resolution of brain 18F-FDG PET images compared to conventional cameras. Our study aimed to assess whether specific control databases are required to improve the diagnostic performance of these recent advances.Methods: We analysed twenty-seven Alzheimer's Disease (AD) patients and twenty-two healthy subjects. These two groups underwent a brain 18F-FDG PET on a digital camera (Vereos, Philips®) with a Semi-Quantitative Analysis (SQA), i.e. comparisons to two age and sex matched controls acquired with a digital PET (Vereos, Philips®) and a conventional PET (Biograph 6, Siemens®) camera, at group and individual levels. Moreover, individual visual interpretation of SPM T-maps was provided for the positive diagnosis of AD by 3 experienced raters.Results: At group level, SQA using digital controls detected more marked hypometabolic areas in AD (+34 mm3 at p<0.001 uncorrected for the voxel, corrected for the cluster) than SQA using conventional controls. At the individual level, accuracy of SQA using digital controls was higher than SQA using conventional controls (82 vs. 63%, p<0.01, at p<0.005 uncorrected for the voxel, corrected for the cluster), with lower specificity (73 vs. 95%) but much higher sensitivity (89 vs. 37%). These results were confirmed by visual analysis (accuracies of 78% and 65% for digital and conventional controls respectively).Conclusion: There is an urgent need to establish specific digital PET control databases for SQA of brain 18F-FDG PET images as such databases improve the accuracy of AD diagnosis.

scholarly journals FDG-PET patterns associated with underlying pathology in corticobasal syndrome

Neurology ◽  
2019 ◽  
Vol 92 (10) ◽  
pp. e1121-e1135 ◽  
Author(s):  
Matteo Pardini ◽  
Edward D. Huey ◽  
Salvatore Spina ◽  
William C. Kreisl ◽  
Silvia Morbelli ◽  
...  
Keyword(s):  
Basal Ganglia ◽  
Fdg Pet ◽  
Primary Motor Cortex ◽  
Rating Scale ◽  
Corticobasal Degeneration ◽  
Anterior Cingulate ◽  
Corticobasal Syndrome ◽  
Control Group ◽  
Pathologic Diagnosis ◽  
Pet Scans

ObjectiveTo evaluate brain 18Fluorodeoxyglucose PET (FDG-PET) differences among patients with a clinical diagnosis of corticobasal syndrome (CBS) and distinct underling primary pathologies.MethodsWe studied 29 patients with a diagnosis of CBS who underwent FDG-PET scan and postmortem neuropathologic examination. Patients were divided into subgroups on the basis of primary pathologic diagnosis: CBS-corticobasal degeneration (CBS-CBD) (14 patients), CBS-Alzheimer disease (CBS-AD) (10 patients), and CBS–progressive supranuclear palsy (CBS-PSP) (5 patients). Thirteen age-matched healthy patients who underwent FDG-PET were the control group (HC). FDG-PET scans were compared between the subgroups and the HC using SPM-12, with a threshold of pFWE < 0.05.ResultsThere were no differences in Mattis Dementia Rating Scale or finger tapping scores between CBS groups. Compared to HC, the patients with CBS presented significant hypometabolism in frontoparietal regions, including the perirolandic area, basal ganglia, and thalamus of the clinically more affected hemisphere. Patients with CBS-CBD showed a similar pattern with a more marked, bilateral involvement of the basal ganglia. Patients with CBS-AD presented with posterior, asymmetric hypometabolism, including the lateral parietal and temporal lobes and the posterior cingulate. Finally, patients with CBS-PSP disclosed a more anterior hypometabolic pattern, including the medial frontal regions and the anterior cingulate. A conjunction analysis revealed that the primary motor cortex was the only common area of hypometabolism in all groups, irrespective of pathologic diagnosis.Discussion and conclusionsIn patients with CBS, different underling pathologies are associated with different patterns of hypometabolism. Our data suggest that FDG-PET scans could help in the etiologic diagnosis of CBS.

scholarly journals Clinical impact of digital and conventional PET control databases for semi-quantitative analysis of brain 18F-FDG digital PET scans 

2020 ◽  
Author(s):  
Elise Mairal ◽  
Matthieu Doyen ◽  
Thérèse Rivasseau-Jonveaux ◽  
Catherine Malaplate ◽  
Eric Guedj ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Fdg Pet ◽  
Visual Analysis ◽  
Digital Camera ◽  
Visual Interpretation ◽  
Individual Level ◽  
Pet Ct ◽  
Digital Pet ◽  
Healthy Control ◽  
The Individual

Abstract Purpose: Digital PET cameras markedly improve sensitivity and spatial resolution of brain 18F-FDG PET images compared to conventional cameras. Our study aimed to assess whether specific control databases are required to improve the diagnostic performance of these recent advances.Methods: We retrospectively selected two groups of subjects, twenty-seven Alzheimer's Disease (AD) patients and twenty-two healthy control (HC) subjects. All subjects underwent a brain 18F-FDG PET on a digital camera (Vereos, Philips®). These two group (AD and HC) are compared, using a Semi-Quantitative Analysis (SQA), to two age and sex matched controls acquired with a digital PET/CT (Vereos, Philips®) or a conventional PET/CT (Biograph 6, Siemens®) camera, at group and individual levels. Moreover, individual visual interpretation of SPM T-maps was provided for the positive diagnosis of AD by 3 experienced raters.Results: At group level, SQA using digital controls detected more marked hypometabolic areas in AD (+ 116 cm3 at p<0.001 uncorrected for the voxel, corrected for the cluster) than SQA using conventional controls. At the individual level, the accuracy of SQA for discriminating AD using digital controls was higher than SQA using conventional controls (86 % vs. 80 %, p<0.01, at p<0.005 uncorrected for the voxel, corrected for the cluster), with similar specificity (82 % vs. 82 %) but higher sensitivity (89 % vs. 78 %). These results were confirmed by visual analysis (accuracies of 84 % and 82 % for digital and conventional controls respectively, p=0.01).Conclusion: There is an urgent need to establish specific digital PET control databases for SQA of brain 18F-FDG PET images as such databases improve the accuracy of AD diagnosis.

scholarly journals Clinical impact of digital and conventional PET control databases for semi-quantitative analysis of brain 18F-FDG digital PET scans

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Elise Mairal ◽  
Matthieu Doyen ◽  
Thérèse Rivasseau-Jonveaux ◽  
Catherine Malaplate ◽  
Eric Guedj ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Fdg Pet ◽  
Visual Analysis ◽  
Digital Camera ◽  
Visual Interpretation ◽  
Individual Level ◽  
Pet Ct ◽  
Digital Pet ◽  
Healthy Control ◽  
The Individual

Abstract Purpose Digital PET cameras markedly improve sensitivity and spatial resolution of brain 18F-FDG PET images compared to conventional cameras. Our study aimed to assess whether specific control databases are required to improve the diagnostic performance of these recent advances. Methods We retrospectively selected two groups of subjects, twenty-seven Alzheimer's Disease (AD) patients and twenty-two healthy control (HC) subjects. All subjects underwent a brain 18F-FDG PET on a digital camera (Vereos, Philips®). These two group (AD and HC) are compared, using a Semi-Quantitative Analysis (SQA), to two age and sex matched controls acquired with a digital PET/CT (Vereos, Philips®) or a conventional PET/CT (Biograph 6, Siemens®) camera, at group and individual levels. Moreover, individual visual interpretation of SPM T-maps was provided for the positive diagnosis of AD by 3 experienced raters. Results At group level, SQA using digital controls detected more marked hypometabolic areas in AD (+ 116 cm3 at p < 0.001 uncorrected for the voxel, corrected for the cluster) than SQA using conventional controls. At the individual level, the accuracy of SQA for discriminating AD using digital controls was higher than SQA using conventional controls (86% vs. 80%, p < 0.01, at p < 0.005 uncorrected for the voxel, corrected for the cluster), with higher sensitivity (89% vs. 78%) and similar specificity (82% vs. 82%). These results were confirmed by visual analysis (accuracies of 84% and 82% for digital and conventional controls respectively, p = 0.01). Conclusion There is an urgent need to establish specific digital PET control databases for SQA of brain 18F-FDG PET images as such databases improve the accuracy of AD diagnosis.

Effect of IGF-1R inhibitor BMS-754807 on tumor glucose metabolism and proliferation in Sal-IGF xenografts by FDG and FLT- PET imaging

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e14501-e14501
Author(s):  
P. L. Chow ◽  
C. P. Ho ◽  
D. Kan ◽  
R. M. Attar ◽  
F. Graf Finckenstein ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Fdg Pet ◽  
Critical Role ◽  
Salivary Gland Tumor ◽  
Human Tumor ◽  
Tumor Burden ◽  
Imaging Biomarkers ◽  
Flt Pet ◽  
Concomitant Reduction ◽  
Pet Scans

e14501 Background: The type 1 insulin-like growth factor receptor (IGF-1R) plays a critical role in mitogenesis and survival in a variety of human tumor cells. IGF-1R is also closely related to the insulin receptor (IR). It is becoming increasingly evident that stimulation of IR or IR/IGF-1R hybrid receptors by insulin or IGF-1/2 may contribute to cancer growth, suggesting that both IGF-1R and IR may be targets for cancer therapy. BMS-754807 (‘807) is an oral IGF-1R tyrosine kinase antagonist under development that also blocks IR activity. This study explores the feasibility of fluorodeoxyglucose (FDG) and fluorothymidine (FLT) positron emission tomography (PET) as pharmacodynamic imaging biomarkers in a xenograft model. Methods: Mice were implanted with fragments of Sal-IGF, a transgenic salivary gland tumor expressing constitutively active IGF-1R. Once tumors reached desired size, the mice were divided into 3 treatment groups (vehicle, 6.25 mg/kg ‘807, & 50 mg/kg ‘807 on days 1–4). FDG-PET scans were performed on day -2 (prior to treatment), days 1 & 2 (max/min concentrations post day 1 dose), and days 4 & 5 (max/min day 4 dose). FLT-PET scans were performed on days -2, 2 (min day 1 dose), & 5 (min day 4 dose). Results: With FDG-PET imaging, a 66% reduction (P<0.05, paired t-test) in tumor SUVmean was observed at the end of the 50 mg/kg therapy (day 4) and sustained for 24h (day 5) with a concomitant reduction of 37% in tumor burden by day 5 (P<0.05). FLT-PET studies demonstrated a 45% reduction (P<0.05) in tumor SUVmean observed 24h after the end of 50 mg/kg therapy (day 5) with a concomitant reduction of 50% in tumor burden (day 5, P<0.05). Conclusions: Correlation with tumor growth inhibition suggests feasibility of FDG- PET despite IR blockade. These results support the use of both FDG and FLT PET imaging in clinical trials with ‘807. [Table: see text]

scholarly journals Clinical impact of digital and conventional PET control databases for semi-quantitative analysis of brain 18F-FDG digital PET scans 

2020 ◽  
Author(s):  
Elise Mairal ◽  
Matthieu Doyen ◽  
Thérèse Rivasseau-Jonveaux ◽  
Catherine Malaplate ◽  
Eric Guedj ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Fdg Pet ◽  
Visual Analysis ◽  
Digital Camera ◽  
Visual Interpretation ◽  
Individual Level ◽  
Pet Ct ◽  
Digital Pet ◽  
Healthy Control ◽  
The Individual

Abstract Purpose: Digital PET cameras markedly improve sensitivity and spatial resolution of brain 18F-FDG PET images compared to conventional cameras. Our study aimed to assess whether specific control databases are required to improve the diagnostic performance of these recent advances.Methods: We retrospectively selected two groups of subjects, twenty-seven Alzheimer's Disease (AD) patients and twenty-two healthy control (HC) subjects. All subjects underwent a brain 18F-FDG PET on a digital camera (Vereos, Philips®). These two group (AD and HC) are compared, using a Semi-Quantitative Analysis (SQA), to two age and sex matched controls acquired with a digital PET/CT (Vereos, Philips®) or a conventional PET/CT (Biograph 6, Siemens®) camera, at group and individual levels. Moreover, individual visual interpretation of SPM T-maps was provided for the positive diagnosis of AD by 3 experienced raters.Results: At group level, SQA using digital controls detected more marked hypometabolic areas in AD (+ 116 cm3 at p<0.001 uncorrected for the voxel, corrected for the cluster) than SQA using conventional controls. At the individual level, the accuracy of SQA for discriminating AD using digital controls was higher than SQA using conventional controls (86 % vs. 80 %, p<0.01, at p<0.005 uncorrected for the voxel, corrected for the cluster), with higher sensitivity (89 % vs. 78 %) and similar specificity (82 % vs. 82 %). These results were confirmed by visual analysis (accuracies of 84 % and 82 % for digital and conventional controls respectively, p=0.01).Conclusion: There is an urgent need to establish specific digital PET control databases for SQA of brain 18F-FDG PET images as such databases improve the accuracy of AD diagnosis.

FDG-PET Scans Find Secondary Infections

2005 ◽  
Vol 38 (19) ◽  
pp. 83
Author(s):  
PAM HARRISON
Keyword(s):  
Fdg Pet ◽  
Secondary Infections ◽  
Pet Scans

University Dropout

2008 ◽  
Vol 29 (3) ◽  
pp. 134-147 ◽  
Author(s):  
Manuel C. Voelkle ◽  
Nicolas Sander
Keyword(s):  
Grade Point Average ◽  
Structural Equation ◽  
Unobserved Heterogeneity ◽  
School Grade ◽  
Grade Point ◽  
High School Grade ◽  
Hands On ◽  
University Dropout ◽  
The Individual ◽  
A Prospective Study

University dropout is a politically and economically important factor. While a number of studies address this issue cross-sectionally by analyzing different cohorts, or retrospectively via questionnaires, few of them are truly longitudinal and focus on the individual as the unit of interest. In contrast to these studies, an individual differences perspective is adopted in the present paper. For this purpose, a hands-on introduction to a recently proposed structural equation (SEM) approach to discrete-time survival analysis is provided ( Muthén & Masyn, 2005 ). In a next step, a prospective study with N = 1096 students, observed across four semesters, is introduced. As expected, average university grade proved to be an important predictor of future dropout, while high-school grade-point average (GPA) yielded no incremental predictive validity but was completely mediated by university grade. Accounting for unobserved heterogeneity, three latent classes could be identified with differential predictor-criterion relations, suggesting the need to pay closer attention to the composition of the student population.

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