Cargando…
Real-World Testing of a Machine Learning–Derived Visual Scale for Tc99m TRODAT-1 for Diagnosing Lewy Body Disease: Comparison with a Traditional Approach Using Semiquantification
Objectives: Abnormal dopamine transporter (DAT) uptake is an important biomarker for diagnosing Lewy body disease (LBD), including Parkinson’s disease (PD) and dementia with Lewy bodies (DLB). We evaluated a machine learning-derived visual scale (ML-VS) for Tc99m TRODAT-1 from one center and compare...
Autores principales: | Chiu, Pai-Yi, Hou, Po-Nien, Hung, Guang-Uei, Hsieh, Te-Chun, Chan, Pak-Ki, Kao, Chia-Hung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505116/ https://www.ncbi.nlm.nih.gov/pubmed/36143154 http://dx.doi.org/10.3390/jpm12091369 |
Ejemplares similares
-
Generative adversarial network-based attenuation correction for (99m)Tc-TRODAT-1 brain SPECT
por: Du, Yu, et al.
Publicado: (2023) -
Tc-99m TRODAT uptake in an osteoid tumor of clivus
por: Taywade, Sameer, et al.
Publicado: (2016) -
Effects of (99m)Tc-TRODAT-1 drug template on image quantitative analysis
por: Wu, Cheng-Han, et al.
Publicado: (2018) -
Low-Parameter Small Convolutional Neural Network Applied to Functional Medical Imaging of Tc-99m Trodat-1 Brain Single-Photon Emission Computed Tomography for Parkinson’s Disease
por: Chang, Yu-Chieh, et al.
Publicado: (2021) -
Multi-Modal Synergistic 99mTc-TRODAT-1 SPECT and MRI for Evaluation of the Efficacy of Hyperbaric Oxygen Therapy in CO-Induced Delayed Parkinsonian and Non-Parkinsonian Syndromes
por: Yeh, Skye Hsin-Hsien, et al.
Publicado: (2022)