Clinical decision support systems in myocardial perfusion imaging

Area of Science:

• Cardiology
• Medical Imaging
• Health Informatics

Background:

• Increasing complexity of diagnostic imaging requires extensive physician knowledge and patient data.
• A growing aging population and a shortage of experienced cardiac diagnosticians exacerbate interpretation challenges.
• Shrinking time for physicians to master knowledge and interpret studies necessitates advanced support.

Purpose of the Study:

• To review current decision support systems and approaches for myocardial perfusion SPECT and PET studies.
• To highlight the need for tools to assist physicians in faster and more expert image interpretation.
• To address the challenges of subjectivity and observer variation in diagnostic imaging.

Main Methods:

• Review of existing and emerging decision support systems.
• Focus on automation, objectification, and standardization in image analysis and interpretation.
• Examination of approaches for myocardial perfusion SPECT and PET studies.

Main Results:

• Numerous decision support systems are being developed and implemented.
• These tools aim to automate and standardize the analysis, display, integration, interpretation, and reporting of myocardial perfusion imaging.
• The review identifies various systems and approaches currently in development.

Conclusions:

• Decision support tools are essential to aid physicians in interpreting diagnostic imaging efficiently and accurately.
• Implementation of these tools can minimize subjectivity and observer variability, leading to standardized performance.
• Such systems are vital for managing increasing healthcare demands and reducing costs.