AIMC Topic: Tropanes
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Fully automatic categorical analysis of striatal subregions in dopamine transporter SPECT using a convolutional neural network.
Annals of nuclear medicine
Mar 16, 2025
OBJECTIVE: To provide fully automatic scanner-independent 5-level categorization of the [I]FP-CIT uptake in striatal subregions in dopamine transporter SPECT.
Automated identification of uncertain cases in deep learning-based classification of dopamine transporter SPECT to improve clinical utility and acceptance.
European journal of nuclear medicine and molecular imaging
Dec 22, 2023
PURPOSE: Deep convolutional neural networks (CNN) are promising for automatic classification of dopamine transporter (DAT)-SPECT images. Reporting the certainty of CNN-based decisions is highly desired to flag cases that might be misclassified and, t...
Deep learning regressor model based on nigrosome MRI in Parkinson syndrome effectively predicts striatal dopamine transporter-SPECT uptake.
Neuroradiology
May 20, 2023
PURPOSE: Nigrosome imaging using susceptibility-weighted imaging (SWI) and dopamine transporter imaging using I-2β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl)-nortropane (I-FP-CIT) single-photon emission computerized tomography (SPECT) can eval...
Data-driven identification of diagnostically useful extrastriatal signal in dopamine transporter SPECT using explainable AI.
Scientific reports
Nov 25, 2021
This study used explainable artificial intelligence for data-driven identification of extrastriatal brain regions that can contribute to the interpretation of dopamine transporter SPECT with I-FP-CIT in parkinsonian syndromes. A total of 1306 I-FP-CI...
Brain
Retrospective Studies
Reproducibility of Results
Parkinson Disease
Humans
Neural Networks, Computer
Tomography, Emission-Computed, Single-Photon
Tropanes
Dopamine Plasma Membrane Transport Proteins
Nerve Degeneration
Diagnosis, Differential
Predictive Value of Tests
Radiopharmaceuticals
Image Interpretation, Computer-Assisted
Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson's disease.
Parkinsonism & related disorders
Mar 17, 2021
OBJECTIVES: Despite its use in determining nigrostriatal degeneration, the lack of a consistent interpretation of nigrosome 1 susceptibility map-weighted imaging (SMwI) limits its generalized applicability. To implement and evaluate a diagnostic algo...
Parkinson Disease, Secondary
Dopamine Plasma Membrane Transport Proteins
Middle Aged
Deep Learning
Magnetic Resonance Imaging
Parkinson Disease
Positron-Emission Tomography
Image Interpretation, Computer-Assisted
Substantia Nigra
Tropanes
Female
Reproducibility of Results
Aged
Male
Humans
Retrospective Studies
Clinical value of machine learning-based interpretation of I-123 FP-CIT scans to detect Parkinson's disease: a two-center study.
Annals of nuclear medicine
Jan 20, 2021
PURPOSE: Our aim was to develop and validate a machine learning (ML)-based approach for interpretation of I-123 FP-CIT SPECT scans to discriminate Parkinson's disease (PD) from non-PD and to determine its generalizability and clinical value in two ce...
Feasible Classified Models for Parkinson Disease from Tc-TRODAT-1 SPECT Imaging.
Sensors (Basel, Switzerland)
Apr 11, 2019
The neuroimaging techniques such as dopaminergic imaging using Single Photon Emission Computed Tomography (SPECT) with Tc-TRODAT-1 have been employed to detect the stages of Parkinson's disease (PD). In this retrospective study, a total of 202 Tc-TRO...
Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on [I]FP-CIT SPECT images.
European journal of nuclear medicine and molecular imaging
Dec 23, 2017
PURPOSE: This work aimed to assess the potential of a set of features extracted from [I]FP-CIT SPECT brain images to be used in the computer-aided "in vivo" confirmation of dopaminergic degeneration and therefore to assist clinical decision to diagno...
Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging.
NeuroImage. Clinical
Sep 10, 2017
Dopaminergic degeneration is a pathologic hallmark of Parkinson's disease (PD), which can be assessed by dopamine transporter imaging such as FP-CIT SPECT. Until now, imaging has been routinely interpreted by human though it can show interobserver va...
Pharmacokinetics of aclidinium bromide/formoterol fumarate fixed-dose combination compared with individual components: A phase 1, open-label, single-dose study.
Clinical pharmacology in drug development
Aug 24, 2015
Inhaled, long-acting bronchodilators represent a cornerstone of maintenance treatment for chronic obstructive pulmonary disease (COPD). Aclidinium bromide/formoterol fumarate 400/12 μg fixed-dose combination (FDC) has recently been licensed for use i...
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