Radiomics analysis of longitudinal DaTscan images for improved progression tracking in Parkinson's disease
P Huang, N Shenkov, S Fotouhi, E Davoodi-Bojd, L Lu… - 2017 - Soc Nuclear Med
412 Objectives: DaTscan is increasingly utilized for diagnostic purposes in suspected
parkinsonian syndromes. We aim to enable additional clinical utility of this modality for …
parkinsonian syndromes. We aim to enable additional clinical utility of this modality for …
[HTML][HTML] Improved prediction of outcome in Parkinson's disease using radiomics analysis of longitudinal DAT SPECT images
No disease modifying therapies for Parkinson's disease (PD) have been found effective to
date. To properly power clinical trials for discovery of such therapies, the ability to predict …
date. To properly power clinical trials for discovery of such therapies, the ability to predict …
Artificial neural network based outcome prediction in DAT SPECT imaging of Parkinson's disease
J Tang, B Yang, N Shenkov, S Fotouhi, E Davoodi-Bojd… - 2017 - Soc Nuclear Med
292 Objectives: Dopamine transporter (DAT) SPECT imaging has been widely used in the
diagnosis of Parkinson's disease (PD). Compared to visual interpretation of DAT SPECT …
diagnosis of Parkinson's disease (PD). Compared to visual interpretation of DAT SPECT …
Artificial neural network–based prediction of outcome in Parkinson's disease patients using DaTscan SPECT imaging features
J Tang, B Yang, MP Adams, NN Shenkov… - Molecular imaging and …, 2019 - Springer
Purpose Quantitative analysis of dopamine transporter (DAT) single-photon emission
computed tomography (SPECT) images can enhance diagnostic confidence and improve …
computed tomography (SPECT) images can enhance diagnostic confidence and improve …
Longitudinal clustering analysis and prediction of Parkinson's disease progression
1051 Objectives: We aimed to identify distinct disease progression pathways in Parkinson's
disease (PD), making use of clinical and imaging features, towards improved understanding …
disease (PD), making use of clinical and imaging features, towards improved understanding …
Use of deep convolutional neural networks to predict Parkinson's disease progression from DaTscan SPECT images
29 Objectives: Brain SPECT imaging with Ioflupane I123 (DaTscan) is clinically used to
measure the striatal dopamine transporter levels and aid the diagnosis of Parkinson's …
measure the striatal dopamine transporter levels and aid the diagnosis of Parkinson's …
Optimized haralick texture quantification to track Parkinson's disease progression from DAT SPECT images
428 Objectives To optimize Haralick texture analysis for enhanced quantification of DAT
SPECT images in Parkinson's disease (PD) patients, aiming to investigate the potential of …
SPECT images in Parkinson's disease (PD) patients, aiming to investigate the potential of …
Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images
MP Adams, A Rahmim, J Tang - Computers in Biology and Medicine, 2021 - Elsevier
Abstract Purpose Dopamine transporter (DAT) SPECT imaging is routinely used in the
diagnosis of Parkinson's disease (PD). Our previous efforts demonstrated the use of DAT …
diagnosis of Parkinson's disease (PD). Our previous efforts demonstrated the use of DAT …
[HTML][HTML] The combination of DAT-SPECT, structural and diffusion MRI predicts clinical progression in Parkinson's disease
S Lorio, F Sambataro, A Bertolino… - Frontiers in aging …, 2019 - frontiersin.org
There is an increasing interest in identifying non-invasive biomarkers of disease severity
and prognosis in idiopathic Parkinson's disease (PD). Dopamine-transporter SPECT (DAT …
and prognosis in idiopathic Parkinson's disease (PD). Dopamine-transporter SPECT (DAT …
Evaluation of an automated atlas-based method for DaTscan™ analysis
A Nelson, J Piper, S Pirozzi, Z Shen - 2013 - Soc Nuclear Med
2068 Objectives To evaluate an automated method for the differentiation of Parkinson9s
Disease (PD) from healthy controls (HC) using DaTscan SPECT. Methods 30 PD and 30 HC …
Disease (PD) from healthy controls (HC) using DaTscan SPECT. Methods 30 PD and 30 HC …