Wu Yuwen, Wang Zhisen, Chu Yuyi, Peng Renyuan, Peng Haoran, Yang Hongbo, Guo Kai, Zhang Juzhong
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.
Biomimetics (Basel). 2024 Mar 12;9(3):170. doi: 10.3390/biomimetics9030170.
Malignant tumors have become one of the serious public health problems in human safety and health, among which the chest and abdomen diseases account for the largest proportion. Early diagnosis and treatment can effectively improve the survival rate of patients. However, respiratory motion in the chest and abdomen can lead to uncertainty in the shape, volume, and location of the tumor, making treatment of the chest and abdomen difficult. Therefore, compensation for respiratory motion is very important in clinical treatment. The purpose of this review was to discuss the research and development of respiratory movement monitoring and prediction in thoracic and abdominal surgery, as well as introduce the current research status. The integration of modern respiratory motion compensation technology with advanced sensor detection technology, medical-image-guided therapy, and artificial intelligence technology is discussed and analyzed. The future research direction of intraoperative thoracic and abdominal respiratory motion compensation should be non-invasive, non-contact, use a low dose, and involve intelligent development. The complexity of the surgical environment, the constraints on the accuracy of existing image guidance devices, and the latency of data transmission are all present technical challenges.
恶性肿瘤已成为危害人类安全与健康的严重公共卫生问题之一,其中胸腹部疾病占比最大。早期诊断和治疗可有效提高患者生存率。然而,胸腹部的呼吸运动可导致肿瘤形状、体积和位置的不确定性,使得胸腹部疾病的治疗变得困难。因此,呼吸运动补偿在临床治疗中非常重要。本综述的目的是探讨胸腹部手术中呼吸运动监测与预测的研究进展,并介绍当前的研究现状。同时,对现代呼吸运动补偿技术与先进传感器检测技术、医学图像引导治疗及人工智能技术的整合进行了讨论与分析。术中胸腹部呼吸运动补偿未来的研究方向应是无创、非接触、低剂量且智能化发展。手术环境的复杂性、现有图像引导设备精度的限制以及数据传输的延迟都是目前存在的技术挑战。