1. Department of Imaging, Lanling County People’s Hospital, Linyi Shandong 277799, China丨
2. Department of Imaging, The First Affiliated Hospital of Xinjiang Medical University, Urumqi Xinjiang 830011, China丨
3. Huiying Medical Technology (Beijing) Co., Ltd., Beijing 100192, China
Abstract：Objective To study and realize an auxiliary diagnostic system based on CT radiomics to distinguish benign and malignant
lesions of the musculoskeletal system. Methods We have applied the emerging intelligent medical methods of combining radiomics
and medicine to develop more accurate intelligent auxiliary diagnosis models, and exploited the cloud technology to develop more
convenient intelligent medical systems to serve the clinical diagnosis of benign and malignant lesions of the musculoskeletal system.
Results On the standard database of benign and malignant lesions of the musculoskeletal system, we achieved the automatic
identification of images using the radiomics, and the AUC values of benign and malignant can reach 0.97 and 0.92 respectively
with high accuracy, and developed an intelligent system that assist clinical diagnosis in a modular way by making full use of the
scalability, mobility and real-time of cloud technology. Conclusion The system can obtain reliable analytical models and intelligent
diagnosis results in a short period of time. While bringing convenience to clinical diagnosis. It also provides a new direction to
establish a intelligent new analytical method to solve the clinical identification problem of benign and malignant lesions of the
skeletal muscle system.
周平1，程丰飞1，任波2，王健2，张冉3，柴象飞3. 基于CT影像组学鉴别骨肌系统良恶性病变的辅助诊断系统[J]. 中国医疗设备, 2021, 36(8): 40-44.
ZHOU Ping1，CHENG Fengfei1，REN Bo2，WANG Jian2，ZHANG Ran3，CHAI Xiangfei3. CT Image of Auxiliary Diagnosis System for Differentiating Benign and Malignant Lesions of
Musculoskeletal System Based on Radiomics. China Medical Devices, 2021, 36(8): 40-44.
