Sun Yu, Reynolds Hayley M, Parameswaran Bimal, Wraith Darren, Finnegan Mary E, Williams Scott, Haworth Annette
University of Sydney, Sydney, Australia.
Peter MacCallum Cancer Centre, Melbourne, Australia.
Australas Phys Eng Sci Med. 2019 Mar;42(1):3-25. doi: 10.1007/s13246-019-00730-z. Epub 2019 Feb 14.
Multiparametric MRI (mpMRI) is an imaging modality that combines anatomical MR imaging with one or more functional MRI sequences. It has become a versatile tool for detecting and characterising prostate cancer (PCa). The traditional role of mpMRI was confined to PCa staging, but due to the advanced imaging techniques, its role has expanded to various stages in clinical practises including tumour detection, disease monitor during active surveillance and sequential imaging for patient follow-up. Meanwhile, with the growing speed of data generation and the increasing volume of imaging data, it is highly demanded to apply computerised methods to process mpMRI data and extract useful information. Hence quantitative analysis for imaging data using radiomics has become an emerging paradigm. The application of radiomics approaches in prostate cancer has not only enabled automatic localisation of the disease but also provided a non-invasive solution to assess tumour biology (e.g. aggressiveness and the presence of hypoxia). This article reviews mpMRI and its expanding role in PCa detection, staging and patient management. Following that, an overview of prostate radiomics will be provided, with a special focus on its current applications as well as its future directions.
多参数磁共振成像(mpMRI)是一种将解剖学磁共振成像与一个或多个功能磁共振成像序列相结合的成像方式。它已成为检测和表征前列腺癌(PCa)的多功能工具。mpMRI的传统作用局限于前列腺癌分期,但由于先进的成像技术,其作用已扩展到临床实践的各个阶段,包括肿瘤检测、主动监测期间的疾病监测以及患者随访的序列成像。与此同时,随着数据生成速度的加快和成像数据量的增加,迫切需要应用计算机化方法来处理mpMRI数据并提取有用信息。因此,使用放射组学对成像数据进行定量分析已成为一种新兴模式。放射组学方法在前列腺癌中的应用不仅能够实现疾病的自动定位,还提供了一种评估肿瘤生物学特性(如侵袭性和缺氧情况)的非侵入性解决方案。本文综述了mpMRI及其在前列腺癌检测、分期和患者管理中不断扩大的作用。在此之后,将概述前列腺放射组学,特别关注其当前应用以及未来方向。