Breaking barriers: noninvasive AI model for BRAF mutation identification.

Journal: International journal of computer assisted radiology and surgery
PMID: 39955452

Abstract

OBJECTIVE: BRAF is the most common mutation found in thyroid cancer and is particularly associated with papillary thyroid carcinoma (PTC). Currently, genetic mutation detection relies on invasive procedures. This study aimed to extract radiomic features and utilize deep transfer learning (DTL) from ultrasound images to develop a noninvasive artificial intelligence model for identifying BRAF mutations.

Authors

  • Fan Wu
    Department of Product Design, Dalian Polytechnic University, Dalian 116034, China.
  • Xiangfeng Lin
    Department of Thyroid Surgery, The Affiliated Yantai Yuhuangding Hospital, Qingdao University, Qingdao, Shandong Province, China.
  • Yuying Chen
  • Mengqian Ge
    The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
  • Ting Pan
    College of Engineering, Huaqiao University, Quanzhou 362021, China.
  • Jingjing Shi
    Cardiovascular Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences.
  • Linlin Mao
    Department of Oncological Surgery, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, 310006, Zhejiang, China.
  • Gang Pan
    College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China.
  • You Peng
    Department of Oncological Surgery, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, 310006, Zhejiang, China.
  • Li Zhou
    School of Education, China West Normal University, Nanchong, Sichuan, China.
  • Haitao Zheng
    Department of Thyroid Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, 264000, People's Republic of China.
  • Dingcun Luo
    Department of Oncological Surgery, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, 310006, Zhejiang, China. ldc65@163.com.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.

Keywords

External Resources

Popular Topics
Recent Journals