Zhang Yongde, Yuan Qihang, Muzzammil Hafiz Muhammad, Gao Guoqiang, Xu Yong
Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China.
Foshan Baikang Robot Technology Co., Ltd, Nanhai District, Foshan City, Guangdong Province 528225, China.
Math Biosci Eng. 2023 Jul 17;20(8):15135-15166. doi: 10.3934/mbe.2023678.
At present, the incidence of prostate cancer (PCa) in men is increasing year by year. So, the early diagnosis of PCa is of great significance. Transrectal ultrasonography (TRUS)-guided biopsy is a common method for diagnosing PCa. The biopsy process is performed manually by urologists but the diagnostic rate is only 20%-30% and its reliability and accuracy can no longer meet clinical needs. The image-guided prostate biopsy robot has the advantages of a high degree of automation, does not rely on the skills and experience of operators, reduces the work intensity and operation time of urologists and so on. Capable of delivering biopsy needles to pre-defined biopsy locations with minimal needle placement errors, it makes up for the shortcomings of traditional free-hand biopsy and improves the reliability and accuracy of biopsy. The integration of medical imaging technology and the robotic system is an important means for accurate tumor location, biopsy puncture path planning and visualization. This paper mainly reviews image-guided prostate biopsy robots. According to the existing literature, guidance modalities are divided into magnetic resonance imaging (MRI), ultrasound (US) and fusion image. First, the robot structure research by different guided methods is the main line and the actuators and material research of these guided modalities is the auxiliary line to introduce and compare. Second, the robot image-guided localization technology is discussed. Finally, the image-guided prostate biopsy robot is summarized and suggestions for future development are provided.
目前,男性前列腺癌(PCa)的发病率逐年上升。因此,前列腺癌的早期诊断具有重要意义。经直肠超声检查(TRUS)引导下的活检是诊断前列腺癌的常用方法。活检过程由泌尿外科医生手动进行,但诊断率仅为20%-30%,其可靠性和准确性已无法满足临床需求。图像引导前列腺活检机器人具有自动化程度高、不依赖操作者的技能和经验、降低泌尿外科医生的工作强度和操作时间等优点。它能够将活检针送到预先定义的活检位置,针放置误差最小,弥补了传统徒手活检的不足,提高了活检的可靠性和准确性。医学成像技术与机器人系统的融合是实现肿瘤精确定位、活检穿刺路径规划和可视化的重要手段。本文主要对图像引导前列腺活检机器人进行综述。根据现有文献,引导方式分为磁共振成像(MRI)、超声(US)和融合图像。首先,以不同引导方式下的机器人结构研究为主线,以这些引导方式的执行器和材料研究为辅助线进行介绍和比较。其次,讨论机器人图像引导定位技术。最后,对图像引导前列腺活检机器人进行总结,并对未来发展提出建议。