Tumor immune profiles noninvasively estimated by FDG PET with deep learning correlate with immunotherapy response in lung adenocarcinoma

Rationale: The clinical application of biomarkers reflecting tumor immune microenvironment is hurdled by the invasiveness of obtaining tissues despite its importance in immunotherapy. We developed a deep learning-based biomarker which noninvasively estimates a tumor immune profile with fluorodeoxygl...

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Detalles Bibliográficos
Autores principales: Park, Changhee, Na, Kwon Joong, Choi, Hongyoon, Ock, Chan-Young, Ha, Seunggyun, Kim, Miso, Park, Samina, Keam, Bhumsuk, Kim, Tae Min, Paeng, Jin Chul, Park, In Kyu, Kang, Chang Hyun, Kim, Dong-Wan, Cheon, Gi-Jeong, Kang, Keon Wook, Kim, Young Tae, Heo, Dae Seog
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482798/
https://www.ncbi.nlm.nih.gov/pubmed/32929383
http://dx.doi.org/10.7150/thno.50283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482798/
https://www.ncbi.nlm.nih.gov/pubmed/32929383
http://dx.doi.org/10.7150/thno.50283

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