A combined model using pre-treatment CT radiomics and clinicopathological features of non-small cell lung cancer to predict major pathological responses after neoadjuvant chemoimmunotherapy-Reference-Cited by-同舟云学术

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A combined model using pre-treatment CT radiomics and clinicopathological features of non-small cell lung cancer to predict major pathological responses after neoadjuvant chemoimmunotherapy

Published:2024-06 Issue: Volume:50 Page:101098
ISSN:0147-0272
Container-title:Current Problems in Cancer
language:en
Short-container-title:Current Problems in Cancer

Author:

Wang Fang,Yang Hong,Chen Wujie,Ruan Lei,Jiang Tingting,Cheng Lei,Jiang Haitao^ORCID,Fang Min

Funder

Zhejiang Provincial Health Commission

Zhejiang Province Natural Science Foundation

Medical and Health Research Project of Zhejiang Province

Publisher

Elsevier BV

Reference24 articles.

1. Cancer statistics in China and United States, 2022: profiles, trends, and determinants;Xia;Chin Med J (Engl),2022

3. Neoadjuvant therapy gains FDA approval in non-small cell lung cancer;Leal;Cell Rep Med,2022

4. Radiomics: extracting more information from medical images using advanced feature analysis;Lambin;Eur J Cancer,2012

5. CT_based radiomic analysis of stereotactic body radiation therapy patients with lung cancer;Huynh;Radiother 0ncol,2016

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