A Review on the Role of Water Diffusion Modeling in Magnetic Resonance Imaging of Prostate Cancer

A. Barucci, D. Farnesi, F. Ratto, R. Pini, R. Carpi, M. Esposito, M. Olmastroni, G. Zatelli
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引用次数: 1

Abstract

Prostate Cancer (PCa) is among of the tumors with highest incidence in men. Diagnosis of PCa is usually based on different techniques as digital rectal examination, prostate-specific antigen (PSA), transrectal ultrasonography, Magnetic Resonance Imaging (MRI) and transrectal biopsy. Thanks to its intrinsic ability to obtain anatomical, functional and molecular information, MRI is one of the most spread and powerful tools to diagnosis and staging of PCa. In particular, Diffusion-Weighted Imaging (DWI) MRI technique allows to obtain images with contrast depending on the microscopic mobility of water molecules in tissue, probing the microscopic structure. Moreover, from DWI images is possible to quantify the Apparent Diffusion Coefficient of water (ADC) using different diffusion models, as “Mono-exponential”, “Bi-exponential”, “Kurtosis”, “Gamma distribution” and “Stretched exponential”, all of them based on different assumptions on the water mobility in the tissue microenvironment. Despite that the diagnostic and prognostic power of some of these models be known, a clear connection with the physical, biological and physiological underlying features is lacking. In this work we will review all these models, showing results for patients suffering PCa, for which we have a complete clinical picture thanks to transrectal biopsy and other examinations.
水扩散模拟在前列腺癌磁共振成像中的作用综述
前列腺癌(PCa)是男性发病率最高的肿瘤之一。前列腺癌的诊断通常基于不同的技术,如直肠指检、前列腺特异性抗原(PSA)、经直肠超声检查、磁共振成像(MRI)和经直肠活检。由于其固有的获得解剖、功能和分子信息的能力,MRI是前列腺癌诊断和分期最广泛和最强大的工具之一。特别是,扩散加权成像(DWI) MRI技术允许根据组织中水分子的微观流动性获得具有对比度的图像,探测微观结构。此外,从DWI图像中可以使用不同的扩散模型,如“单指数”、“双指数”、“峰度”、“伽玛分布”和“拉伸指数”来量化水的表观扩散系数(ADC),所有这些模型都基于对组织微环境中水迁移率的不同假设。尽管一些模型的诊断和预后能力是已知的,但缺乏与物理,生物和生理潜在特征的明确联系。在这项工作中,我们将回顾所有这些模型,显示前列腺癌患者的结果,由于经直肠活检和其他检查,我们有一个完整的临床图片。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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