The Simulation Group, Department of Radiology, Center for Integration of Medicine and Innovative Technology, Harvard Medical School,Cambridge, MA 02139, USA.
Med Biol Eng Comput. 2012 Sep;50(9):961-71. doi: 10.1007/s11517-012-0936-2. Epub 2012 Jul 7.
Palpation is an intuitive examination procedure in which the kinesthetic and tactile sensations of the physician are used. Although it has been widely used to detect and localize diseased tissues in many clinical fields, the procedure is subjective and dependent on the experience of the individual physician. Palpation results and biomechanics-based mechanical property characterization are possible solutions that can enable the acquisition of objective and quantitative information on abnormal tissue localization during diagnosis and surgery. This paper presents an integrated approach for robotic palpation combined with biomechanical soft tissue characterization. In particular, we propose a new palpation method that is inspired by the actual finger motions that occur during palpation procedures. To validate the proposed method, robotic palpation experiments on silicone soft tissue phantoms with embedded hard inclusions were performed and the force responses of the phantoms were measured using a robotic palpation system. Furthermore, we carried out a numerical analysis, simulating the experiments and estimating the objective and quantitative properties of the tissues. The results indicate that the proposed approach can differentiate diseased tissue from normal tissue and can characterize the mechanical information of diseased tissue, which means that this method can be applied as a means of abnormality localization to diagnose prostate cancers.
触诊是一种直观的检查程序,它利用医生的动觉和触觉感知。尽管它已经在许多临床领域被广泛用于检测和定位患病组织,但该程序具有主观性,并且取决于医生的个人经验。触诊结果和基于生物力学的机械特性表征是可能的解决方案,可以在诊断和手术过程中获取关于异常组织定位的客观和定量信息。本文提出了一种结合生物力学软组织特性表征的机器人触诊综合方法。具体而言,我们提出了一种新的触诊方法,该方法受到触诊过程中实际手指运动的启发。为了验证所提出的方法,我们在具有嵌入式硬夹杂物的硅树脂软组织模型上进行了机器人触诊实验,并使用机器人触诊系统测量了模型的力响应。此外,我们进行了数值分析,模拟实验并估计了组织的客观和定量特性。结果表明,所提出的方法可以区分患病组织和正常组织,并可以表征患病组织的机械信息,这意味着该方法可以用作诊断前列腺癌的异常定位手段。