RT Journal Article SR Electronic T1 Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications JF Journal of Nuclear Medicine JO J Nucl Med FD Society of Nuclear Medicine SP 168 OP 176 DO 10.2967/jnumed.120.242537 VO 62 IS 2 A1 Piotr J. Slomka A1 Jonathan B. Moody A1 Robert J. H. Miller A1 Jennifer M. Renaud A1 Edward P. Ficaro A1 Ernest V. Garcia YR 2021 UL http://jnm.snmjournals.org/content/62/2/168.abstract AB 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)