Artificial intelligence driven 3D reconstruction for enhanced lung surgery planning.

Journal: Nature communications
PMID: 40312393

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 < 0.01), reducing errors by 41%. Improvements in secondary endpoints are also observed. Operation procedure selection accuracy is improved by 8%, with a 35% decrease in errors. Preoperative planning time is decreased by 25%, and user satisfaction is high at 99%. These benefits are consistent across surgeons of varying experience. In conclusion, the artificial intelligence-driven 3D reconstruction system significantly improves the identification of anatomical variants, addressing a critical need in preoperative planning for thoracic surgery.

Authors

  • Xiuyuan Chen
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Chenyang Dai
    Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
  • Muyun Peng
    Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Dawei Wang
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Xizhao Sui
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Liang Duan
    Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
  • Xiang Wang
    Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Xun Wang
    College of Computer Science and Technology, China University of Petroleum, Dongying, China.
  • Wenhan Weng
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Shaodong Wang
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Heng Zhao
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Zhenfan Wang
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Jiayi Geng
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Chen Chen
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Yan Hu
    Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Qikang Hu
    Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Chao Jiang
    Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang, China.
  • Hui Zheng
    Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China.
  • Yi Bao
    Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
  • Chao Sun
    Hospital for Skin Diseases and Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
  • Zhuoer Cui
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Xiangyu Zeng
    Department of Plant Pathology, College of Agriculture, Guizhou University, Guiyang, Guizhou, PR China; Institute of Edible Mushroom, Guizhou University, Guiyang, PR China.
  • Huiming Han
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Chen Xia
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Jinlong Liu
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Bing Yang
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Ji Qi
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Fanghang Ji
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Shaokang Wang
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Nan Hong
    Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Jun Wang
    Department of Speech, Language, and Hearing Sciences and the Department of Neurology, The University of Texas at Austin, Austin, TX 78712, USA.
  • Kezhong Chen
    Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
  • Yuming Zhu
    Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China. drzhuyuming@163.com.
  • Fenglei Yu
    Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China. yufenglei@csu.edu.cn.
  • Fan Yang
    School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.

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