文献
J-GLOBAL ID:202002240331612841
整理番号:20A1717646
肺腺癌の腫瘍侵入性と純型GGNにおける成長を予測するためのCT特徴に基づいた2つのノモグラム:後向き解析
Two nomograms based on CT features to predict tumor invasiveness of pulmonary adenocarcinoma and growth in pure GGN: a retrospective analysis
著者 (7件):
Qiu Taichun
(Rodiology Department, People’s Hospital of Deyang City, Deyang, Sichuan, China)
,
Qiu Taichun
(Radiology Department, The Affiliated ZhongShan Hospital of Dalian University, Dalian University, Dalian, China)
,
Ru Xiaoshuang
(Radiology Department, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, Dalian Medical University, Dalian, China)
,
Yin Ke
(Radiology Department, The Affiliated ZhongShan Hospital of Dalian University, Dalian University, Dalian, China)
,
Yu Jing
(Radiology Department, The Affiliated ZhongShan Hospital of Dalian University, Dalian University, Dalian, China)
,
Song Yang
(Radiology Department, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, Dalian Medical University, Dalian, China)
,
Wu Jianlin
(Radiology Department, The Affiliated ZhongShan Hospital of Dalian University, Dalian University, Dalian, China)
資料名:
Japanese Journal of Radiology
(Japanese Journal of Radiology)
巻:
38
号:
8
ページ:
761-770
発行年:
2020年08月25日
JST資料番号:
L3853A
ISSN:
1867-1071
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)