Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?

Wang, Xiang; Chen, Kaili; Wang, Wei; Li, Qingchu; Liu, Kai; Li, Qianyun; Cui, Xing; Tu, Wenting; Sun, Hongbiao; Xu, Shaochun; Zhang, Rongguo; Xiao, Yi; Fan, Li; Liu, Shiyuan

Wang, Xiang; Chen, Kaili; Wang, Wei; Li, Qingchu; Liu, Kai; Li, Qianyun; Cui, Xing; Tu, Wenting; Sun, Hongbiao; Xu, Shaochun; Zhang, Rongguo; Xiao, Yi; Fan, Li; Liu, Shiyuan.

Affiliation

Wang X; Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Chen K; Department of Hematology, The Myeloma & Lymphoma Center, Changzheng Hospital, Naval Medical University, Shanghai, China.
Wang W; Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Li Q; 71282 Hospital, Baoding, China.
Liu K; Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Li Q; Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Cui X; Department of Radiology, Taizhou Hospital of Zhejiang Province, Linhai, China.
Tu W; Beijing Infervision Technology Co. Ltd., Beijing, China.
Sun H; Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Xu S; Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Zhang R; Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Xiao Y; Beijing Infervision Technology Co. Ltd., Beijing, China.
Fan L; Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Liu S; Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China.