Normal Databases for the Relative Quantification of Myocardial Perfusion

Area of Science:

• Nuclear Cardiology
• Cardiovascular Imaging
• Medical Physics

Background:

• Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT) is a global standard for detecting and monitoring coronary artery disease (CAD).
• MPI provides objective quantification of myocardial blood flow during stress and rest conditions.
• The technique relies on comparing patient scans against established normal databases.

Purpose of the Study:

• To review the process of MPI quantification utilizing normal databases.
• To describe the quantitative perfusion measures employed in MPI analysis.
• To highlight the significance of updated normal databases for modern imaging systems.

Main Methods:

• Review of current literature on MPI quantification and normal database development.
• Analysis of quantitative perfusion measures used in SPECT MPI.
• Discussion of the impact of new hardware and software on normal database requirements.

Main Results:

• New SPECT equipment and reconstruction algorithms necessitate the creation of new normal limits.
• Variations in image appearance and regional counts between new and older systems underscore the need for system-specific normal databases.
• Accurate diagnostic and prognostic outcomes comparable to expert readers are achievable with this technique.

Conclusions:

• The use of distinct normal databases tailored to specific imaging procedures is crucial.
• Appropriate normal limits optimize MPI quantification by accounting for hardware, software, and population-specific differences.
• Emphasizes the critical role of updated, specific normal databases for maintaining the accuracy of MPI.