@misc{oai:repo.qst.go.jp:00073343, author = {Yoshinaga, Keiichiro and 吉永 恵一郎}, month = {Apr}, note = {Determining indication for coronary intervention has shifted from being anatomically based to being functionally based in clinical settings. Fractional flow reserve (FFR) measurement through invasive coronary angiography is considered to be a gold standard for functional ischemia diagnosis. Invasive coronary angiography is indicated mainly for patients who will likely require coronary intervention. Therefore, detecting functional myocardial ischemia has risen in importance in patients with known or suspected coronary artery disease (CAD). Several non-invasive diagnostic approaches have been used for myocardial ischemia detection. Traditional visual analysis used mainly in nuclear cardiology has such limitations as underestimating the balance of ischemia in multi-vessel CAD. To overcome this limitation, since the 1970s, positron emission tomography (PET) has been developed to measure quantitative myocardial blood flow (MBF) and myocardial flow reserve (MFR) using mathematical models. The high extraction fraction of PET flow tracers make accurate MBF quantification possible, and therefore PET has led the MBF and MFR quantification approach. This approach has recently been applied for other imaging techniques such as computed tomography (CT), cardiac magnetic resonance (CMR), and single-photon emission computed tomography (SPECT). Given the increasing clinical demand for functional assessment, MBF quantification approaches for several non-invasive cardiac imaging techniques such as CT, CMR, and SPECT have also been developed. A new generation of scanners and improved physics approaches have contributed to these recent developments. In this symposium, we will focus on recent technological developments of MBF quantification in several non-invasive cardiac imaging modalities and on the clinical importance of MBF quantification., 第77回日本医学放射線学会総会}, title = {From Basic Aspects to Clinical Values of Myocardial Blood Flow and Myocardial Flow Reserve Measurements}, year = {2018} }