Publications by authors named "M Grmek"
Purpose: Differentiation among parkinsonian syndromes may be clinically challenging, especially at early disease stages. In this study, we used F-FDG-PET brain imaging combined with an automated image classification algorithm to classify parkinsonian patients as Parkinson's disease (PD) or as an atypical parkinsonian syndrome (APS) at the time when the clinical diagnosis was still uncertain. In addition to validating the algorithm, we assessed its utility in a "real-life" clinical setting.
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- Striatal dopamine deficiency and metabolic changes, common in dementia with Lewy bodies, were examined using advanced brain imaging techniques in a large European study cohort.
- The research found an inverse relationship between striatal dopamine levels and glucose metabolism, with notable issues in the basal ganglia and limbic regions as dopamine deficiency increased.
- The findings suggest that specific disruptions in metabolic connectivity could serve as additional biomarkers for early diagnosis of dementia with Lewy bodies.
Purpose: The purpose of this study was to identify the specific metabolic brain pattern characteristic for Parkinson's disease (PD): Parkinson's disease-related pattern (PDRP), using network analysis of [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET) brain images in a cohort of Slovenian PD patients.
Methods: Twenty PD patients (age 70.1 ± 7.
Purpose: To evaluate the reproducibility of the expression of Parkinson's Disease Related Pattern (PDRP) across multiple sets of 18F-FDG-PET brain images reconstructed with different reconstruction algorithms.
Methods: 18F-FDG-PET brain imaging was performed in two independent cohorts of Parkinson's disease (PD) patients and normal controls (NC). Slovenian cohort (20 PD patients, 20 NC) was scanned with Siemens Biograph mCT camera and reconstructed using FBP, FBP+TOF, OSEM, OSEM+TOF, OSEM+PSF and OSEM+PSF+TOF.