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Sökning: WFRF:(Savitcheva I) > (2020-2024)

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  • Papathoma, PE, et al. (författare)
  • A replication study, systematic review and meta-analysis of automated image-based diagnosis in parkinsonism
  • 2022
  • Ingår i: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 12:1, s. 2763-
  • Tidskriftsartikel (refereegranskat)abstract
    • Differential diagnosis of parkinsonism early upon symptom onset is often challenging for clinicians and stressful for patients. Several neuroimaging methods have been previously evaluated; however specific routines remain to be established. The aim of this study was to systematically assess the diagnostic accuracy of a previously developed 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) based automated algorithm in the diagnosis of parkinsonian syndromes, including unpublished data from a prospective cohort. A series of 35 patients prospectively recruited in a movement disorder clinic in Stockholm were assessed, followed by systematic literature review and meta-analysis. In our cohort, automated image-based classification method showed excellent sensitivity and specificity for Parkinson Disease (PD) vs. atypical parkinsonian syndromes (APS), in line with the results of the meta-analysis (pooled sensitivity and specificity 0.84; 95% CI 0.79–0.88 and 0.96; 95% CI 0.91 –0.98, respectively). In conclusion, FDG-PET automated analysis has an excellent potential to distinguish between PD and APS early in the disease course and may be a valuable tool in clinical routine as well as in research applications.
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  • Bucci, M., et al. (författare)
  • Profiling of plasma biomarkers in the context of memory assessment in a tertiary memory clinic
  • 2023
  • Ingår i: Translational Psychiatry. - 2158-3188. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Plasma biomarkers have shown promising performance in research cohorts in discriminating between different stages of Alzheimer's disease (AD). Studies in clinical populations are necessary to provide insights on the clinical utility of plasma biomarkers before their implementation in real-world settings. Here we investigated plasma biomarkers (glial fibrillary acidic protein (GFAP), tau phosphorylated at 181 and 231 (pTau181, pTau231), amyloid & beta; (A & beta;) 42/40 ratio, neurofilament light) in 126 patients (age = 65 & PLUSMN; 8) who were admitted to the Clinic for Cognitive Disorders, at Karolinska University Hospital. After extensive clinical assessment (including CSF analysis), patients were classified as: mild cognitive impairment (MCI) (n = 75), AD (n = 25), non-AD dementia (n = 16), no dementia (n = 9). To refine the diagnosis, patients were examined with [F-18]flutemetamol PET (A & beta;-PET). A & beta;-PET images were visually rated for positivity/negativity and quantified in Centiloid. Accordingly, 68 A & beta;+ and 54 A & beta;- patients were identified. Plasma biomarkers were measured using single molecule arrays (SIMOA). Receiver-operated curve (ROC) analyses were performed to detect A & beta;-PET+ using the different biomarkers. In the whole cohort, the A & beta;-PET centiloid values correlated positively with plasma GFAP, pTau231, pTau181, and negatively with A & beta;42/40 ratio. While in the whole MCI group, only GFAP was associated with A & beta; PET centiloid. In ROC analyses, among the standalone biomarkers, GFAP showed the highest area under the curve discriminating A & beta;+ and A & beta;- compared to other plasma biomarkers. The combination of plasma biomarkers via regression was the most predictive of A & beta;-PET, especially in the MCI group (prior to PET, n = 75) (sensitivity = 100%, specificity = 82%, negative predictive value = 100%). In our cohort of memory clinic patients (mainly MCI), the combination of plasma biomarkers was sensitive in ruling out A & beta;-PET negative individuals, thus suggesting a potential role as rule-out tool in clinical practice.
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  • Oeckl, P., et al. (författare)
  • Blood beta-synuclein is related to amyloid PET positivity in memory clinic patients
  • 2023
  • Ingår i: Alzheimers & Dementia. - 1552-5260. ; 19:11, s. 4896-4907
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction: beta-synuclein is an emerging blood biomarker to study synaptic degeneration in Alzheimert's disease (AD), but its relation to amyloid-beta (A beta) pathology is unclear. Methods: We investigated the association of plasma beta-synuclein levels with ([18F])flutemetamol positron emission tomography (PET) in patients with AD dementia (n = 51), mild cognitive impairment (MCI-A beta+ n = 18, MCI-A beta-n = 30), non-AD dementias (n = 22), and non-demented controls (n = 5). Results: Plasma beta-synuclein levels were higher in A beta+(AD dementia, MCI-A beta+) than in A beta-subjects (non-AD dementias, MCI-A beta-) with good discrimination of A beta+ from A beta-subjects and prediction of A beta status in MCI individuals. A positive correlation between plasma beta-synuclein and A beta PET was observed in multiple cortical regions across all lobes. Discussion: Plasma beta-synuclein demonstrated discriminative properties for A beta PET positive and negative subjects. Our data underline that beta-synuclein is not a direct marker of A beta pathology and suggest different longitudinal dynamics of synaptic degeneration versus amyloid deposition across the AD continuum.
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