PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study.

Purpose: No consensus on a grading system for invasive lung adenocarcinoma had been built over a long period of time. Until October 2020, a novel grading system was proposed to quantify the whole landscape of histologic subtypes and proportions of pulmonary adenocarcinomas. This study aims to develo...

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Publicado en:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 51; no. 2; pp. 521 - 535
Autores principales:	Zhong, Yifan, Cai, Chuang, Chen, Tao, Gui, Hao, Chen, Cheng, Deng, Jiajun, Yang, Minglei, Yu, Bentong, Song, Yongxiang, Wang, Tingting, Chen, Yangchun, Shi, Huazheng, Xie, Dong, Chen, Chang, She, Yunlang
Formato:	Journal Article
Publicado:	Springer Nature Jan2024
Acceso en línea:	Ver este registro en EBSCOhost