Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study

By extracting deep learning features from contrast enhanced and non-contrast enhanced CT, we constructed the LUNAI-fCT model as an imaging biomarker, which can non-invasively predict pathological complete response in neoadjuvant immunochemotherapy for NSCLC.

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Publication Details

Journal
Journal for ImmunoTherapy of Cancer
Published
2024-09-01
DOI
https://doi.org/10.1136/jitc-2024-009348
Citations
34
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
13.75

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article

Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study

Zhenwei Shi, Leonard Wee, Guanchao Ye, André Dekker et al.
34 citations
Journal for ImmunoTherapy of Cancer
Radiomics and Machine Learning in Medical Imaging
13.75
article

Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study

Zhenwei Shi, Leonard Wee, Guanchao Ye, André Dekker, Chu Han, Yongde Liao, Kuo Li, Chun‐yang Zhang, Guangyao Wu, Qi Yu, Feng Li, Mingliang Wang, Zaiyi Liu
article en
34 citations

Abstract

By extracting deep learning features from contrast enhanced and non-contrast enhanced CT, we constructed the LUNAI-fCT model as an imaging biomarker, which can non-invasively predict pathological complete response in neoadjuvant immunochemotherapy for NSCLC.

Journal for ImmunoTherapy of CancerVol. 12(9)
Maastricht University (NL), Key Laboratory of Guangdong Province (CN), Department of Health (TW), Wuhan Union Hospital (CN), Henan Provincial People's Hospital (CN), Guangdong Academy of Medical Sciences (CN), Guangdong Provincial People's Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN), Maastro Clinic (NL), Union Hospital (CN), Southern Medical University (CN)
National Science Foundation, National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 1%
Radiomics and Machine Learning in Medical Imaging
13.75
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