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

Conclusion: The deep learning model that predicts CytAct using FDG-PET of LUAD was validated in independent cohorts. Our approach may be used to noninvasively assess an immune profile and predict outcomes of LUAD patients treated with ICB.

Source: Theranostics - October 3, 2020 Category: Molecular Biology Authors: Changhee Park, Kwon Joong Na, Hongyoon Choi, Chan-Young Ock, Seunggyun Ha, Miso Kim, Samina Park, Bhumsuk Keam, Tae Min Kim, Jin Chul Paeng, In Kyu Park, Chang Hyun Kang, Dong-Wan Kim, Gi-Jeong Cheon, Keon Wook Kang, Young Tae Kim, Dae Seog Heo Tags: Research Paper Source Type: research