Assessment of Therapeutic Responses Using a Deep Neural Network Based on (18)F-FDG PET and Blood Inflammatory Markers in Pyogenic Vertebral Osteomyelitis

Background and Objectives: This study investigated the usefulness of deep neural network (DNN) models based on (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) and blood inflammatory markers to assess the therapeutic response in pyogenic vertebral osteomyelitis (PVO). Materials and Me...

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Detalles Bibliográficos
Autores principales: Shin, Hyunkwang, Kong, Eunjung, Yu, Dongwoo, Choi, Gyu Sang, Jeon, Ikchan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698865/
https://www.ncbi.nlm.nih.gov/pubmed/36422232
http://dx.doi.org/10.3390/medicina58111693

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698865/
https://www.ncbi.nlm.nih.gov/pubmed/36422232
http://dx.doi.org/10.3390/medicina58111693

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