摘要
前列腺癌(prostate cancer, PCa)是男性恶性肿瘤中较为常见的肿瘤,能否早期诊断是影响其预后的关键,多参数磁共振成像(multi-parametric magnetic resonance imaging, mpMRI)是PCa检测和预测风险分层的主要工具,包括筛查、辅助诊断、风险分层、指导治疗和治疗后评估。影像组学的发展给当前各种传统的检查方式提供了新的思路,通过自动化方法对庞大的数据量进行定量成像特征提取和分析,为PCa患者临床诊疗和决策提供信息。mpMRI在PCa中的应用不仅使疾病的自动定位成为可能,并且还提供了一种非侵入性的解决方案从肿瘤生物学到遗传学水平来评估PCa,基于mpMRI影像组学相关性研究对PCa无创诊断、侵袭性评估、基因组分析、治疗后有无进展检测及靶向药物疗效有着重要的临床价值。本文就mpMRI影像组学在PCa诊断、治疗及预测风险性、侵袭程度、预后中的研究进展展开综述,为日后的临床研究提供参考以及挖掘mpMRI影像组学在PCa应用中的价值。
Prostate cancer(PCa)is one of the more common malignancies in men and the ability to diagnose it early is key to its prognosis.Multi-parametric magnetic resonance imaging(mpMRI)is a major tool for detecting PCa detection and predicting risk stratification,including screening,improving diagnostic accuracy,risk stratification,guiding treatment and post-treatment assessment.The development of radiomics has provided a new way of thinking to the various current traditional examination modalities,through automated methods to extract quantitative imaging features and analysis of huge data volumes to provide information for clinical diagnosis and decision-making for PCa patients.The application of mpMRI radiomics in PCa not only enables automated localization of the disease,but also provides a non-invasive solution to evaluate PCa from tumor biology to genetic level.Clinical value of mpMRI based radiomics correlation studies for non-invasive diagnosis,aggressiveness assessment,progression detection,genomic analysis and targeted drug efficacy in PCa.This article reviews the progress of mpMRI radiomics in the diagnosis,treatment and prediction of risk,aggressiveness and prognosis of PCa.
作者
吴春梅
李思琪
杨存霞
殷小平
WU Chunmei;LI Siqi;YANG Cunxia;YIN Xiaoping(CT-MRI Unit,Affiliated Hospital of Hebei University,Baoding 071000,China;College of Clinical Medical of Hebei University,Baoding 071000,China;Hebei Key Laboratory of Precise Imaging of Inflammation Related Tumors,Baoding 071000,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2023年第6期166-170,191,共6页
Chinese Journal of Magnetic Resonance Imaging
作者简介
通信作者:殷小平,E-mail:yinxiaoping78@sina.com。
