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Ex vivo study of prostate cancer localization using rolling mechanical imaging towards minimally invasive surgery

机译:使用滚动机械成像对微创手术的滚动机械成像进行前体内研究

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Rolling mechanical imaging (RMI) is a novel technique towards the detection and quantification of malignant tissue in locations that are inaccessible to palpation during robotic minimally invasive surgery (MIS); the approach is shown to achieve results of higher precision than is possible using the human hand. Using a passive robotic manipulator, a lightweight and force sensitive wheeled probe is driven across the surface of tissue samples to collect continuous measurements of wheel-tissue dynamics. A color-coded map is then generated to visualize the stiffness distribution within the internal tissue structure. Having developed the RMI device in-house, we aim to compare the accuracy of this technique to commonly used methods of localizing prostate cancer in current practice: digital rectal exam (DRE), magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) biopsy. Final histology is the gold standard used for comparison. A total of 126 sites from 21 robotic-assisted radical prostatectomy specimens were examined. Analysis was performed for sensitivity, specificity, accuracy, and predictive value across all patient risk profiles (defined by PSA, Gleason score and pathological score). Of all techniques, pre-operative biopsy had the highest sensitivity (76.2%) and accuracy (64.3%) in the localization of tumor in the final specimen. However, RMI had a higher sensitivity (44.4%) and accuracy (57.9%) than both DRE (38.1% and 52.4%, respectively) and MRI (33.3% and 57.9%, respectively). These findings suggest a role for RMI towards MIS, where haptic feedback is lacking. While our approach has focused on urological tumors, RMI has potential applicability to other extirpative oncological procedures and to diagnostics (e.g., breast cancer screening). Crown Copyright (C) 2017 Published by Elsevier Ltd on behalf of IPEM. All rights reserved.
机译:滚动机械成像(RMI)是一种新颖的技术,用于检测和定量在机器人微创手术(MIS)期间触诊的位置无法进入的位置;该方法被示出达到比使用人手的精度更高的结果。使用被动机器人操纵器,轻量级和力敏感的轮式探针在组织样本的表面上被驱动,以收集车轮组织动力学的连续测量。然后生成颜色编码的图以可视化内部组织结构内的刚度分布。开发了房屋内的RMI器件,我们的目标是将该技术的准确性与当前实践中定位前列腺癌的常用方法进行比较:数字直肠检查(DRE),磁共振成像(MRI)和委托超声(TRUS)活组织检查。最终组织学是用于比较的金标准。检查了来自21个机器人辅助的自由基前列腺切除术样品的总共126个位点。对所有患者风险谱的敏感性,特异性,准确性和预测值进行分析(由PSA,Gleason评分和病理分数定义)。在所有技术中,在最终标本中,术前活检具有最高的敏感性(76.2%)和准确性(64.3%)。然而,RMI具有比DRE(分别为38.1%和52.4%)和MRI(分别为33.3%和57.9%)更高的敏感性(44.4%)和精度(57.9%)。这些调查结果表明RMI对MIS的作用,缺乏触觉反馈。虽然我们的方法集中在泌尿外科肿瘤上,但RMI对其他灭绝的肿瘤学程序和诊断有可能适用(例如,乳腺癌筛查)。皇冠版权(c)2017年由elsevier有限公司发布代表伊普尔普通货运动局。版权所有。

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