AIMC Topic: Tropanes

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Machine learning models for the differential diagnosis of vascular parkinsonism and Parkinson's disease using [(123)I]FP-CIT SPECT.

European journal of nuclear medicine and molecular imaging Aug 14, 2014
PURPOSE: The study's objective was to develop diagnostic predictive models using data from two commonly used [(123)I]FP-CIT SPECT assessment methods: region-of-interest (ROI) analysis and whole-brain voxel-based analysis.
Humans Artificial Intelligence Female Aged Aged, 80 and over Male Image Processing, Computer-Assisted Parkinson Disease Diagnosis, Differential Radiopharmaceuticals Tomography, Emission-Computed, Single-Photon Tropanes Parkinson Disease, Secondary
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Differentiating Treatment-Resistant Depression With and Without Parkinsonism in the Elderly From a Psychiatric Perspective by Tc-TRODAT-1 SPECT Imaging.

International journal of geriatric psychiatry Jun 1, 2025
OBJECTIVES: Late-life depression often overlaps with neurodegenerative diseases leading to diagnostic and treatment challenges for neuropsychiatrists. This study aimed to differentiate elderly treatment-resistant depression (TRD) comorbid with parkin...
Humans Machine Learning Female Aged Aged, 80 and over Male Middle Aged Case-Control Studies Diagnosis, Differential Radiopharmaceuticals Parkinsonian Disorders Corpus Striatum Tomography, Emission-Computed, Single-Photon Tropanes Dopamine Plasma Membrane Transport Proteins Depressive Disorder, Treatment-Resistant Organotechnetium Compounds
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Right putamen and age are the most discriminant features to diagnose Parkinson's disease by using I-FP-CIT brain SPET data by using an artificial neural network classifier, a classification tree (ClT).

Hellenic journal of nuclear medicine Jan 1, 2017
OBJECTIVE: The differential diagnosis of Parkinson's disease (PD) and other conditions, such as essential tremor and drug-induced parkinsonian syndrome or normal aging brain, represents a diagnostic challenge. I-FP-CIT brain SPET is able to contribut...
Humans Neural Networks, Computer Female Aged Aged, 80 and over Male Middle Aged Image Processing, Computer-Assisted Age Factors Parkinson Disease Tomography, Emission-Computed, Single-Photon Tropanes Putamen
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