PURPOSE OF REVIEW: Myocardial perfusion imaging (MPI) with SPECT is performed clinically worldwide to detect and monitor coronary artery disease (CAD). MPI allows an objective quantification of myocardial perfusion at stress and rest. This established technique relies on normal databases to compare patient scans against reference normal limits. In this review, we aim to introduce the process of MPI quantification with normal databases and describe the associated perfusion quantitative measures that are used. RECENT FINDINGS: New equipment and new software reconstruction algorithms have been introduced which require the development of new normal limits. The appearance and regional count variations of normal MPI scan may differ between these new scanners and standard Anger cameras. Therefore, these new systems may require the determination of new normal limits to achieve optimal accuracy in relative myocardial perfusion quantification. Accurate diagnostic and prognostic results rivaling those obtained by expert readers can be obtained by this widely used technique. SUMMARY: Throughout this review, we emphasize the importance of the different normal databases and the need for specific databases relative to distinct imaging procedures. use of appropriate normal limits allows optimal quantification of MPI by taking into account subtle image differences due to the hardware and software used, and the population studied.
PURPOSE OF REVIEW: Myocardial perfusion imaging (MPI) with SPECT is performed clinically worldwide to detect and monitor coronary artery disease (CAD). MPI allows an objective quantification of myocardial perfusion at stress and rest. This established technique relies on normal databases to compare patient scans against reference normal limits. In this review, we aim to introduce the process of MPI quantification with normal databases and describe the associated perfusion quantitative measures that are used. RECENT FINDINGS: New equipment and new software reconstruction algorithms have been introduced which require the development of new normal limits. The appearance and regional count variations of normal MPI scan may differ between these new scanners and standard Anger cameras. Therefore, these new systems may require the determination of new normal limits to achieve optimal accuracy in relative myocardial perfusion quantification. Accurate diagnostic and prognostic results rivaling those obtained by expert readers can be obtained by this widely used technique. SUMMARY: Throughout this review, we emphasize the importance of the different normal databases and the need for specific databases relative to distinct imaging procedures. use of appropriate normal limits allows optimal quantification of MPI by taking into account subtle image differences due to the hardware and software used, and the population studied.
Entities:
Keywords:
coronary artery disease; myocardial perfusion imaging; normal databases; single photon emission computed tomography (SPECT)
Authors: Hidetaka Nishina; Piotr J Slomka; Aiden Abidov; Shunichi Yoda; Cigdem Akincioglu; Xingping Kang; Ishac Cohen; Sean W Hayes; John D Friedman; Guido Germano; Daniel S Berman Journal: J Nucl Med Date: 2006-01 Impact factor: 10.057
Authors: Ryo Nakazato; Balaji K Tamarappoo; Xingping Kang; Arik Wolak; Faith Kite; Sean W Hayes; Louise E J Thomson; John D Friedman; Daniel S Berman; Piotr J Slomka Journal: J Nucl Med Date: 2010-10-18 Impact factor: 10.057
Authors: Reza Arsanjani; Yuan Xu; Sean W Hayes; Mathews Fish; Mark Lemley; James Gerlach; Sharmila Dorbala; Daniel S Berman; Guido Germano; Piotr Slomka Journal: J Nucl Med Date: 2013-01-11 Impact factor: 10.057
Authors: D S Berman; H Kiat; J D Friedman; F P Wang; K van Train; L Matzer; J Maddahi; G Germano Journal: J Am Coll Cardiol Date: 1993-11-01 Impact factor: 24.094
Authors: Sharmila Dorbala; Karthik Ananthasubramaniam; Ian S Armstrong; Panithaya Chareonthaitawee; E Gordon DePuey; Andrew J Einstein; Robert J Gropler; Thomas A Holly; John J Mahmarian; Mi-Ae Park; Donna M Polk; Raymond Russell; Piotr J Slomka; Randall C Thompson; R Glenn Wells Journal: J Nucl Cardiol Date: 2018-10 Impact factor: 5.952
Authors: David Bourhis; Philippe Robin; Marine Essayan; Ronan Abgral; Solène Querellou; Cécile Tromeur; Pierre-Yves Salaun; Pierre-Yves Le Roux Journal: Front Med (Lausanne) Date: 2020-04-28