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CT-Based Sarcopenic Nomogram for Predicting Progressive Disease in Advanced Non-Small-Cell Lung Cancer

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成果类型:
期刊论文
作者:
Yi, Xiaoping*;Chen, Qiurong;Yang, Jingying;Jiang, Dengke;Zhu, Liping*;...
通讯作者:
Yi, Xiaoping;Zhu, Liping;Liu, Haipeng
作者机构:
[Zhu, Liping; Chen, Changyong; Zeng, Feiyue; Yi, Xiaoping; Zhu, LP; Liu, HP; Liu, Haipeng] Cent South Univ, Xiangya Hosp, Dept Radiol, Changsha, Peoples R China.
[Zhu, Liping; Yi, Xiaoping; Zhu, LP; Liu, HP; Liu, Haipeng] Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorders, Changsha, Peoples R China.
[Yi, Xiaoping] Xiangya Hosp, Hunan Key Lab Skin Canc & Psoriasis, Changsha, Peoples R China.
[Yi, Xiaoping] Xiangya Hosp, Hunan Engn Res Ctr Skin Hlth & Dis, Changsha, Peoples R China.
[Chen, Qiurong] Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, State Key Lab Ophthalmol, Guangzhou, Peoples R China.
通讯机构:
[Yi, XP; Zhu, LP; Liu, HP] C
[Yi, Xiaoping] X
Cent South Univ, Xiangya Hosp, Dept Radiol, Changsha, Peoples R China.
Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorders, Changsha, Peoples R China.
Xiangya Hosp, Hunan Key Lab Skin Canc & Psoriasis, Changsha, Peoples R China.
语种:
英文
关键词:
Sarcopenia;Body Composition;Platinum-based chemotherapy;progressive disease;non-small-cell lung cancer
期刊:
Frontiers in Oncology
ISSN:
2234-943X
年:
2021
卷:
11
页码:
643941
基金类别:
This study was partially supported in part by Natural Science Foundation of Hunan Province, P.R. China (2018JJ2641, 2019JJ40485).
机构署名:
本校为其他机构
院系归属:
第二中医临床医学院
摘要:
Background It is prudent to identify the risk for progressive disease (PD) in patients with non-small-cell lung cancer (NSCLC) who undergo platinum-based chemotherapy. The present study aimed to develop a CT imaging-based sarcopenic nomogram for predicting the risk of PD prior to chemotherapy treatment. Methods We retrospectively enrolled patients with NSCLC who underwent platinum-based chemotherapy. Imaging-based body composition parameters such as skeletal muscle index (SMI) for assessment of sarcopenia were obtained from pre-chemotherapy chest CT images at the level of the eleventh thoracic...

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