Locating and sizing tumor nodules in human prostate using instrumented probing - computational framework and experimental validation.
Locating and sizing tumor nodules in human prostate using instrumented probing - computational framework and experimental validation.
复制标题
使用仪器探测-计算框架和实验验证来定位人类前列腺中的肿瘤结节并确定其大小。
DOI：
10.1080/10255842.2022.2065200
复制
发表时间：
2023
影响因子：
1.6
通讯作者：
Candito A
中科院分区：
文献类型：
--
作者：
Candito A
肿瘤结节的检测是早期癌症诊断的关键。本研究探讨了使用机械数据的潜力，从探测前列腺的存在，更重要的是，表征的大小和深度，从后表面，前列腺癌（PCa）结节。一种计算方法的开发，以量化结节可检测性的不确定性，是基于识别刚度异常的配置文件中的点力测量跨前列腺的横截面。所提出的方法的能力进行了评估，首先使用一个“训练”数据集的计算机模型，包括PCa结节的随机大小，深度和位置，然后进行临床可行性研究，涉及实验数据从13前vivoprostates从患者进行了根治性前列腺切除术。在总共44个前列腺切片中检测PCa结节获得了有希望的灵敏度和特异性水平。这项研究表明，所提出的方法可能是一个有用的补充工具，以验证PCa的诊断方法。未来的研究将涉及在微型医疗设备的帮助下在体内实施所提出的测量和检测策略。
Detection of tumor nodules is key to early cancer diagnosis. This study investigates the potential of using the mechanical data, acquired from probing the prostate for detecting the existence, and, more importantly, characterizing the size and depth, from the posterior surface, of the prostate cancer (PCa) nodules. A computational approach is developed to quantify the uncertainty of nodule detectability and is based on identifying stiffness anomalies in the profiles of point force measurements across transverse sections of the prostate. The capability of the proposed method was assessed firstly using a ‘training’ dataset of in silico models including PCa nodules with random size, depth and location, followed by a clinical feasibility study, involving experimental data from 13ex vivoprostates from patients who had undergone radical prostatatectomy. Promising levels of sensitivity and specificity were obtained for detecting the PCa nodules in a total of 44 prostate sections. This study has shown that the proposed methods could be a useful complementary tool to exisiting diagnostic methods of PCa. The future study will involve implementing the proposed measurement and detection strategiesin vivo, with the help of a miniturized medical device.