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

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 fluorodeoxyglucose posit...

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Veröffentlicht in:	Theranostics 2020-01, Vol.10 (23), p.10838-10848
Hauptverfasser:	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
Format:	Artikel
Sprache:	eng
Schlagworte:	Apoptosis Biomarkers Cancer Clinical trials Cytotoxicity Datasets Deep learning Gene expression Immunotherapy Lung cancer Metastasis Research Paper Tumors
Online-Zugang:	Volltext
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