AI-derived longitudinal and multi-dimensional CT classifier for non-small cell lung cancer to optimize neoadjuvant chemoimmunotherapy decision: a multicentre retrospective study

This work was supported by the Noncommunicable Chronic Diseases-National Science and Technology Major Project (2024ZD0531100, 2024ZD0531101), the National Natural Science Foundation of China (82472062, 62102103, 82473298, 82202148, 82502479), the National Key Research and Development Program of China (2023YFC2508603), the Natural Science Foundation of Guangdong Province of China (2024A1515011672), Regional Innovation and Development Joint Fund of National Natural Science Foundation of China (U22A20345), Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application (2022B1212010011).

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Publication Details

Journal
EClinicalMedicine
Published
2025-10-07
DOI
https://doi.org/10.1016/j.eclinm.2025.103551
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
4.08

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article

AI-derived longitudinal and multi-dimensional CT classifier for non-small cell lung cancer to optimize neoadjuvant chemoimmunotherapy decision: a multicentre retrospective study

Lizza Hendriks, Zhenwei Shi, Leonard Wee, Guanchao Ye et al.
3 citations
EClinicalMedicine
Radiomics and Machine Learning in Medical Imaging
4.08
article

AI-derived longitudinal and multi-dimensional CT classifier for non-small cell lung cancer to optimize neoadjuvant chemoimmunotherapy decision: a multicentre retrospective study

Lizza Hendriks, Zhenwei Shi, Leonard Wee, Guanchao Ye, Haiyu Zhou, Zhitao Wei, Chinting Wong, Dirk De Ruysscher, Yongde Liao, Xiaobo Chen, Zhou Wang, Han Chu, Guangyao Wu, Qi Yu, André Dekker, Jianbo Gao, Yanting Liang, Changhong Liang, Zaiyi Liu
article en
3 citations

Abstract

This work was supported by the Noncommunicable Chronic Diseases-National Science and Technology Major Project (2024ZD0531100, 2024ZD0531101), the National Natural Science Foundation of China (82472062, 62102103, 82473298, 82202148, 82502479), the National Key Research and Development Program of China (2023YFC2508603), the Natural Science Foundation of Guangdong Province of China (2024A1515011672), Regional Innovation and Development Joint Fund of National Natural Science Foundation of China (U22A20345), Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application (2022B1212010011).

EClinicalMedicineVol. 89
Union Hospital (HK), Maastricht University Medical Centre (NL), Maastricht University (NL), Key Laboratory of Guangdong Province (CN), Department of Health (TW), Wuhan Union Hospital (CN), Henan Cancer Hospital (CN), Guangdong Academy of Medical Sciences (CN), Erasmus MC Cancer Institute (NL), Guangdong Provincial People's Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN), Maastro Clinic (NL), Union Hospital (CN), Huazhong University of Science and Technology (CN), Southern Medical University (CN), South China University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, National Science and Technology Major Project, National Key Research and Development Program of China
Openalex Percentile: Top 5%
Radiomics and Machine Learning in Medical Imaging
4.08
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