NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC

Combining dual-phase CT and clinical variables, NeoPred reliably and non-invasively predicts pathological response to neoadjuvant chemo-immunotherapy in NSCLC, outperforms unaided expert assessment, and significantly enhances radiologist performance. Further multinational trials are needed to confirm generalizability and support surgical decision-making.

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Publication Details

Journal
Journal for ImmunoTherapy of Cancer
Published
2025-05-01
DOI
https://doi.org/10.1136/jitc-2025-011773
Citations
6
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
8.16
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article

NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC

Wenhai Fu, Xiaomin Ge, Yuan Zhang, Chao Yang et al.
6 citations
Journal for ImmunoTherapy of Cancer
Radiomics and Machine Learning in Medical Imaging
8.16
article

NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC

Wenhai Fu, Xiaomin Ge, Yuan Zhang, Chao Yang, Hengrui Liang, Guangjian Zhang, Chudong Wang, Linchong Huang, Jianqi Zheng, Zhigang Li, Junke Fu, Zhenlin Chen, Ying Huang, Zeping Yan, Guan Wang, Jia Zhang, Zhichao Liu, Huan Deng, Bohao Liu, Hong Yu, Yu Jiang, Hongxu Liu, Runchen Wang, Houlu Xiao, Yuechun Lin, Pingwen Yu, Jianxing He, Fei Cui, Rui Wang
article en
6 citations

Abstract

Combining dual-phase CT and clinical variables, NeoPred reliably and non-invasively predicts pathological response to neoadjuvant chemo-immunotherapy in NSCLC, outperforms unaided expert assessment, and significantly enhances radiologist performance. Further multinational trials are needed to confirm generalizability and support surgical decision-making.

Journal for ImmunoTherapy of CancerVol. 13(5)
Shanghai Chest Hospital (CN), First Affiliated Hospital of Guangzhou Medical University (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), Guangzhou Electronic Technology (China) (CN), Liaoning Cancer Hospital & Institute (CN), Guangzhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 2%
Radiomics and Machine Learning in Medical Imaging
8.16
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