Artificial intelligence driven 3D reconstruction for enhanced lung surgery planning

Xiuyuan Chen, Chenyang Dai, Muyun Peng, Dawei Wang, Xizhao Sui, Liang Duan, Xiang Wang, Xun Wang, Wenhan Weng, Shaodong Wang, Heng Zhao, Zhenfan Wang, Jiayi Geng, Chen Chen, Yan Hu, Qikang Hu, Chao Jiang, Hui Zheng, Yi Bao, Chao Sun, Zhuoer Cui, Xiangyu Zeng, Huiming Han, Chen Xia, Jinlong Liu, Bing Yang, Ji Qi, Fanghang Ji, Shaokang Wang, Nan Hong, Jun Wang, Kezhong Chen, Yuming Zhu (), Fenglei Yu () and Fan Yang ()
Additional contact information
Xiuyuan Chen: Peking University People’s Hospital
Chenyang Dai: Tongji University School of Medicine
Muyun Peng: The Second Xiangya Hospital of Central South University
Dawei Wang: Ltd
Xizhao Sui: Peking University People’s Hospital
Liang Duan: Tongji University School of Medicine
Xiang Wang: The Second Xiangya Hospital of Central South University
Xun Wang: Peking University People’s Hospital
Wenhan Weng: Peking University People’s Hospital
Shaodong Wang: Peking University People’s Hospital
Heng Zhao: Peking University People’s Hospital
Zhenfan Wang: Peking University People’s Hospital
Jiayi Geng: Peking University People’s Hospital
Chen Chen: The Second Xiangya Hospital of Central South University
Yan Hu: The Second Xiangya Hospital of Central South University
Qikang Hu: The Second Xiangya Hospital of Central South University
Chao Jiang: Tongji University School of Medicine
Hui Zheng: Tongji University School of Medicine
Yi Bao: Tongji University School of Medicine
Chao Sun: Peking University People’s Hospital
Zhuoer Cui: Peking University People’s Hospital
Xiangyu Zeng: Peking University People’s Hospital
Huiming Han: Peking University People’s Hospital
Chen Xia: Ltd
Jinlong Liu: Ltd
Bing Yang: Ltd
Ji Qi: Ltd
Fanghang Ji: Ltd
Shaokang Wang: Ltd
Nan Hong: Peking University People’s Hospital
Jun Wang: Peking University People’s Hospital
Kezhong Chen: Peking University People’s Hospital
Yuming Zhu: Tongji University School of Medicine
Fenglei Yu: The Second Xiangya Hospital of Central South University
Fan Yang: Peking University People’s Hospital

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: Abstract The increasing complexity of lung surgeries necessitates the need for enhanced imaging support to improve the precision and efficiency of preoperative planning. Despite the promise of 3D reconstruction, clinical adoption remains limited due to time constraints and insufficient validation. To address this, we evaluate an artificial intelligence-driven 3D reconstruction system for pulmonary vessels and bronchi in a retrospective, multi-center multi-reader multi-case study. Using a two-stage crossover design, ten thoracic surgeons assess 140 cases with and without the system’s assistance. The system significantly improves the accuracy of anatomical variant identification by 8% (p

Date: 2025
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DOI: 10.1038/s41467-025-59200-8

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