Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA.
INVIA Medical Imaging Solutions, Ann Arbor, MI.
J Nucl Med. 2021 Feb;62(2):168-176. doi: 10.2967/jnumed.120.242537. Epub 2020 Oct 16.
Quantitative analysis has been applied extensively to image processing and interpretation in nuclear cardiology to improve disease diagnosis and risk stratification. This is Part 2 of a two-part continuing medical education article, which will review the potential clinical role for emerging quantitative analysis tools. The article will describe advanced methods for quantifying dyssynchrony, ventricular function and perfusion, and hybrid imaging analysis. This article discusses evolving methods to measure myocardial blood flow with positron emission tomography and single-photon emission computed tomography. Novel quantitative assessments of myocardial viability, microcalcification and in patients with cardiac sarcoidosis and cardiac amyloidosis will also be described. Lastly, we will review the potential role for artificial intelligence to improve image analysis, disease diagnosis, and risk prediction. The potential clinical role for all these novel techniques will be highlighted as well as methods to optimize their implementation. (J Nucl Cardiol 2020).
定量分析已广泛应用于核心脏病学中的图像处理和解释，以改善疾病诊断和风险分层。这是一篇两部分继续医学教育文章的第二部分，将回顾新兴定量分析工具的潜在临床作用。本文将描述定量分析不同步性、心室功能和灌注以及混合成像分析的先进方法。本文讨论了使用正电子发射断层扫描和单光子发射计算机断层扫描测量心肌血流的新方法。还将描述对心肌存活、微钙化以及心脏结节病和心脏淀粉样变性患者的新定量评估。最后，我们将回顾人工智能在改善图像分析、疾病诊断和风险预测方面的潜在作用。本文还将重点介绍所有这些新技术的潜在临床作用，以及优化其实施的方法。（J Nucl Cardiol 2020）。
