Department of Computer Science, University of Verona, Verona, Italy.
Department of Urology, University of Modena and Reggio Emilia, Modena, Italy.
Int J Comput Assist Radiol Surg. 2021 Aug;16(8):1393-1401. doi: 10.1007/s11548-021-02437-7. Epub 2021 Jul 5.
We present the validation of PROST, a robotic device for prostate biopsy. PROST is designed to minimize human error by introducing some autonomy in the execution of the key steps of the procedure, i.e., target selection, image fusion and needle positioning. The robot allows executing a targeted biopsy through ultrasound (US) guidance and fusion with magnetic resonance (MR) images, where the target was defined.
PROST is a parallel robot with 4 degrees of freedom (DOF) to orient the needle and 1 DOF to rotate the US probe. We reached a calibration error of less than 2 mm, computed as the difference between the needle positioning in robot coordinates and in the US image. The autonomy of the robot is given by the image analysis software, which employs deep learning techniques, the integrated image fusion algorithms and automatic computation of the needle trajectory. For safety reasons, the insertion of the needle is assigned to the doctor.
System performance was evaluated in terms of positioning accuracy. Tests were performed on a 3D printed object with nine 2-mm spherical targets and on an anatomical commercial phantom that simulates human prostate with three lesions and the surrounding structures. The average accuracy reached in the laboratory experiments was [Formula: see text] in the first test and [Formula: see text] in the second test.
We introduced a first prototype of a prostate biopsy robot that has the potential to increase the detection of clinically significant prostate cancer and, by including some level of autonomy, to simplify the procedure, to reduce human errors and shorten training time. The use of a robot for the biopsy of the prostate will create the possibility to include also a treatment, such as focal ablation, to be delivered through the same system.
我们介绍了 PROST 机器人在前列腺活检中的验证。PROST 通过在程序的关键步骤中引入一定程度的自主性,旨在最大限度地减少人为错误,这些关键步骤包括目标选择、图像融合和针定位。该机器人允许通过超声 (US) 引导和与磁共振 (MR) 图像融合来执行靶向活检,其中定义了目标。
PROST 是一个具有 4 个自由度 (DOF) 的并联机器人,用于定向针,1 个 DOF 用于旋转 US 探头。我们达到了校准误差小于 2mm 的水平,这是通过机器人坐标中的针定位与 US 图像中的针定位之间的差异计算得出的。机器人的自主性由图像分析软件提供,该软件采用深度学习技术、集成图像融合算法和自动计算针轨迹。出于安全原因,针的插入由医生负责。
从定位精度的角度评估了系统性能。在具有九个 2mm 球形目标的 3D 打印物体和模拟人前列腺的具有三个病变和周围结构的解剖商业体模上进行了测试。在实验室实验中达到的平均精度分别为[公式:见文本]在第一次测试中,第二次测试中为[公式:见文本]。
我们引入了一种前列腺活检机器人的原型,它具有提高检测临床显著前列腺癌的潜力,并通过包括一定程度的自主性,简化程序,减少人为错误和缩短培训时间。使用机器人进行前列腺活检将创造可能性,包括通过同一系统进行的聚焦消融等治疗。