Predicting progression-free survival in sarcoma using MRI-based automatic segmentation models and radiomics nomograms: a preliminary multicenter study.

Journal: Skeletal radiology
Published Date: Dec 4, 2024

Abstract

OBJECTIVES: Some sarcomas are highly malignant, associated with high recurrence despite treatment. This multicenter study aimed to develop and validate a radiomics signature to estimate sarcoma progression-free survival (PFS).

Authors

  • Nana Zhu
    School of Manufacturing Science and Engineering, Key Laboratory of Testing Technology for Manufacturing Process, Ministry of Education, Southwest University of Science and Technology, Mianyang, China.
  • Feige Niu
    The Department of Radiology, Tianjin University Tianjin Hospital, 406 Jiefang Southern Road, Tianjin, China; Graduate School, Tianjin Medical University, Tianjin, China.
  • Shuxuan Fan
    Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin 300060, China.
  • Xianghong Meng
    College of Food Science and Engineering, Ocean University of China, Qingdao, China.
  • Yongcheng Hu
    Bayannur Paralympic Eye Hospital, Bayannur, Inner Mongolia, China.
  • Jun Han
    School of Basic Medical Sciences, Yunnan Traditional Chinese Medical College, Kunming 650500, China. Electronic address: hanzjn@126.com.
  • Zhi Wang
    Department of Pharmacy, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.

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