Department of advanced cardiovascular imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, EC1A 7BE London, UK.
Eur Heart J Cardiovasc Imaging. 2020 Apr 1;21(4):349-356. doi: 10.1093/ehjci/jeaa028.
Radiomics is a novel image analysis technique, whereby voxel-level information is extracted from digital images and used to derive multiple numerical quantifiers of shape and tissue character. Cardiac magnetic resonance (CMR) is the reference imaging modality for assessment of cardiac structure and function. Conventional analysis of CMR scans is mostly reliant on qualitative image analysis and basic geometric quantifiers. Small proof-of-concept studies have demonstrated the feasibility and superior diagnostic accuracy of CMR radiomics analysis over conventional reporting. CMR radiomics has the potential to transform our approach to defining image phenotypes and, through this, improve diagnostic accuracy, treatment selection, and prognostication. The purpose of this article is to provide an overview of radiomics concepts for clinicians, with particular consideration of application to CMR. We will also review existing literature on CMR radiomics, discuss challenges, and consider directions for future work.
放射组学是一种新的图像分析技术,通过该技术可以从数字图像中提取体素级信息,并用于得出多个用于描述形状和组织特征的数值量化指标。心脏磁共振(CMR)是评估心脏结构和功能的参考成像方式。传统的 CMR 扫描分析主要依赖于定性图像分析和基本的几何量化指标。一些初步的研究已经证明了 CMR 放射组学分析在常规报告基础上具有更好的诊断准确性。CMR 放射组学有可能改变我们对图像表型的定义方式,并通过这种方式提高诊断准确性、治疗选择和预后判断。本文旨在为临床医生提供放射组学概念的概述,特别考虑将其应用于 CMR。我们还将回顾现有的 CMR 放射组学文献,讨论挑战,并考虑未来的工作方向。