May 8, 2024
Ahmad Keshavarz

Ahmad Keshavarz

Academic Rank: Associate professor
Address:
Degree: Ph.D in Electrical engineering- Communication system
Phone: 09173731896
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Innovative quantitative analysis of left ventricular axis from cardiac SPECT images: XCAT phantom study and clinical validation
Type Article
Keywords
Myocardial perfusion imaging; SPECT; Cardiovascular imaging; Left ventricular axis; [99mTc]Tc-MIBI
Journal IRANIAN JOURNAL OF NUCLEAR MEDICINE
DOI 10.22034/IRJNM.2024.129414.1578
Researchers Fatemeh Salahshourinejad (First researcher) , Ahmad Keshavarz (Second researcher) , Jafari Esmail (Third researcher) , Majid Assadi (Fourth researcher)

Abstract

Introduction: In this study, we aimed to evaluate the possibility of assessing cardiac abnormality using the left ventricular anatomical axis (LVAA) obtained from short-axis views of myocardial perfusion imaging (MPI). Methods: To obtain LVAA, an ellipse was drawn around the outer wall of SPECT images from XCAT phantoms and patients. The best line was then drawn from the center of all the ellipses in the short-axis views called LVAA. Then, we defined two angles based on LVAA including Ɵ which is the angle created by LVAA with the x-axis, and Φ which is the angle created by LVAA with the z-axis. Results: In this study, 94 cases were enrolled including 48 males (51%) and 46 females (49%) with a mean age of 65.6510.04. According to the results, there was a significant difference between the two obtained angles and the result of the scan (p<0.05). The ideal cut-off of Ɵ for an abnormal scan was 91.79 (AUC, 0.93; p=0.001) with the sensitivity of 98% and specificity of 80%. Conclusion: It can be concluded that LVAA as a quantitative factor is significantly different between normal and abnormal MPS and can be used for the evaluation of MPI.