[HTML][HTML] Neuroimaging of Parkinson's disease by quantitative susceptibility mapping

X Guan, M Lancione, S Ayton, P Dusek… - NeuroImage, 2024 - Elsevier
Parkinson's disease (PD) is a common neurodegenerative disease, and apart from a few
rare genetic causes, its pathogenesis remains largely unclear. Recent scientific interest has …

[HTML][HTML] Reproducibility of radiomics quality score: an intra-and inter-rater reliability study

T Akinci D'Antonoli, AU Cavallo, F Vernuccio… - European …, 2024 - Springer
Objectives To investigate the intra-and inter-rater reliability of the total radiomics quality
score (RQS) and the reproducibility of individual RQS items' score in a large multireader …

[HTML][HTML] Parkinson's disease and Parkinsonism syndromes: Evaluating iron deposition in the putamen using magnetic susceptibility MRI techniques-A systematic …

S Mohammadi, S Ghaderi - Heliyon, 2024 - cell.com
Magnetic resonance imaging (MRI) techniques, such as quantitative susceptibility mapping
(QSM) and susceptibility-weighted imaging (SWI), can detect iron deposition in the brain …

[HTML][HTML] Reproducibility of radiomics quality score: an intra-and inter-rater reliability study

TA D'Antonoli, AU Cavallo, F Vernuccio… - European …, 2024 - ncbi.nlm.nih.gov
Objectives To investigate the intra-and inter-rater reliability of the total radiomics quality
score (RQS) and the reproducibility of individual RQS items' score in a large multireader …

[HTML][HTML] Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis

C Fiscone, L Rundo, A Lugaresi, DN Manners… - Scientific Reports, 2023 - nature.com
Multiple Sclerosis (MS) is an autoimmune demyelinating disease characterised by changes
in iron and myelin content. These biomarkers are detectable by Quantitative Susceptibility …

[HTML][HTML] An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson's disease

CJ Park, J Eom, KS Park, YW Park, SJ Chung… - npj Parkinson's …, 2023 - nature.com
Cognitive impairment in Parkinson's disease (PD) severely affects patients' prognosis, and
early detection of patients at high risk of dementia conversion is important for establishing …

Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline

F Sun, J Lyu, S Jian, Y Qin, X Tang - European Radiology, 2023 - Springer
Objectives This study aims at a fully automatic pipeline for measuring the magnetic
resonance parkinsonism index (MRPI) using deep learning methods. Methods MRPI is …

[HTML][HTML] The differential diagnosis value of radiomics-based machine learning in Parkinson's disease: a systematic review and meta-analysis

J Bian, X Wang, W Hao, G Zhang… - Frontiers in Aging …, 2023 - ncbi.nlm.nih.gov
Background In recent years, radiomics has been increasingly utilized for the differential
diagnosis of Parkinson's disease (PD). However, the application of radiomics in PD …

Comparison between Dual-Energy CT and Quantitative Susceptibility Mapping in Assessing Brain Iron Deposition in Parkinson Disease

Y Chen, M Ge, JJ Kang, YC Ding… - American Journal of …, 2023 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Both dual-energy CT and quantitative susceptibility
mapping can evaluate iron depositions in the brain. The purpose of this study was to …

[HTML][HTML] Machine learning for the detection and diagnosis of cognitive impairment in Parkinson's Disease: A systematic review

C Altham, H Zhang, E Pereira - Plos one, 2024 - journals.plos.org
Background Parkinson's Disease is the second most common neurological disease in over
60s. Cognitive impairment is a major clinical symptom, with risk of severe dysfunction up to …