PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer.
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ABSTRACT:
SUBMITTER: Zhong Y
PROVIDER: S-EPMC10657428 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature
Publications
PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer.
Zhong Yifan Y Cai Chuang C Chen Tao T Gui Hao H Deng Jiajun J Yang Minglei M Yu Bentong B Song Yongxiang Y Wang Tingting T Sun Xiwen X Shi Jingyun J Chen Yangchun Y Xie Dong D Chen Chang C She Yunlang Y
Nature communications 20231118 1
Occult nodal metastasis (ONM) plays a significant role in comprehensive treatments of non-small cell lung cancer (NSCLC). This study aims to develop a deep learning signature based on positron emission tomography/computed tomography to predict ONM of clinical stage N0 NSCLC. An internal cohort (n = 1911) is included to construct the deep learning nodal metastasis signature (DLNMS). Subsequently, an external cohort (n = 355) and a prospective cohort (n = 999) are utilized to fully validate the pr ...[more]
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