Long-Term Prognostic Value in Nuclear Cardiology: Expert Scoring Combined with Automated Measurements vs....

Area of Science:

• Cardiology
• Nuclear Medicine
• Medical Imaging Analysis

Background:

• Myocardial perfusion imaging (MPI) evaluation traditionally relies on visual interpretation.
• Automated software measurements can aid in ambiguous scintigraphic findings.
• Assessing the prognostic value of MPI parameters versus coronary angiography is crucial for patient management.

Purpose of the Study:

• To compare the long-term prognostic value of expert MPI scoring (SSS, SRS, SDS) combined with automated measurements against the angiographic score.
• To evaluate the prediction of soft and hard cardiac events.

Main Methods:

• 378 patients with known or suspected coronary artery disease (CAD) were enrolled.
• Automated MPI scores (SSS, SRS, SDS) were obtained using multiple software packages.
• Coronary angiographies were scored, and patients were followed for at least 36 months for cardiac events.

Main Results:

• The combined expert and automated MPI scoring demonstrated significantly greater prognostic value for hard cardiac events compared to the angiographic score (p < 0.001).
• Similarly, for any cardiac event, the combined MPI approach showed superior prognostic ability over the angiographic score (p < 0.001).

Conclusions:

• The combination of expert reading and automated measurements of SSS, SRS, and SDS in MPI provides superior long-term prognostic ability.
• This integrated approach outperforms traditional angiographic scoring for predicting cardiac events in patients with CAD.