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In-Vitro and In-Vivo Diagnostic Techniques for Prostate Cancer: A Review

机译:前列腺癌的体外和体内诊断技术:综述

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This paper overviews one of the most important, interesting, and challenging problems in oncology, early diagnosis of prostate cancer. Developing effective diagnostic techniques for prostate cancer is of great clinical importance and can improve the effectiveness of treatment and increase the patient's chance of survival. The main focus of this study is to overview the different in-vitro and in-vivo technologies for diagnosing prostate cancer. This review discusses the current clinically used in-vitro cancer diagnostic tools, such as biomarker tests and needle biopsies and including their applications, advantages, and limitations. Moreover, the current in-vitro research tools that focus on the role of nanotechnology in prostate cancer diagnosis have been detailed. In addition to the in-vitro techniques, the current study discusses in detail developed in-vivo non-invasive state-of-the-art Computer-Aided Diagnosis (CAD) systems for prostate cancer based on analyzing Transrectal Ultrasound (TRUS) and different types of magnetic resonance imaging (MRI), e.g., T-2-MRI, Diffusion Weighted Imaging (DWI), Dynamic Contrast Enhanced (DCE)-MRI, and multi-parametric MRI, focusing on their implementation, experimental procedures, and reported outcomes. Furthermore, the paper addresses the limitations of the current prostate cancer diagnostic techniques, outlines the challenges that these techniques face, and introduces the recent trends to solve these challenges, which include biomarkers used in in-vitro lab-on-a-chip nanotechnology-based methods.
机译:本文概述了肿瘤学,前列腺癌的早期诊断中最重要,最有趣和最具挑战性的问题之一。开发有效的前列腺癌诊断技术具有重要的临床意义,可以提高治疗效果并增加患者的生存机会。这项研究的主要重点是概述用于诊断前列腺癌的不同的体外和体内技术。这篇综述讨论了当前临床上使用的体外癌症诊断工具,例如生物标志物检测和穿刺活检,以及它们的应用,优点和局限性。此外,已经详细介绍了当前专注于纳米技术在前列腺癌诊断中的作用的体外研究工具。除了体外技术外,本研究还通过分析经直肠超声(TRUS)和不同的技术,详细讨论了开发的用于前列腺癌的体内无创性最新计算机辅助诊断(CAD)系统。磁共振成像(MRI)的类型,例如T-2-MRI,弥散加权成像(DWI),动态对比度增强(DCE)-MRI和多参数MRI,重点是其实现,实验程序和报告的结果。此外,本文着眼于当前前列腺癌诊断技术的局限性,概述了这些技术所面临的挑战,并介绍了解决这些挑战的最新趋势,其中包括体外芯片实验室纳米技术中使用的生物标记,基于方法。

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