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Related Experiment Video

Updated: May 3, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
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Computer-aided diagnosis system outperforms scoring analysis in myocardial perfusion imaging.

Lena Johansson1, Lars Edenbrandt, Kenichi Nakajima

  • 1Department of Molecular and Clinical Medicine, Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden.

Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|January 21, 2014
PubMed
Summary

EXINI demonstrated superior diagnostic accuracy in myocardial perfusion imaging (MPI) compared to PERFEX for detecting ischemia and abnormal studies. EXINI computer-aided diagnosis (CAD) also outperformed its summed stress score (SSS) analysis.

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • Myocardial perfusion imaging (MPI) is crucial for diagnosing cardiac ischemia and infarction.
  • Computer-aided diagnosis (CAD) systems offer potential improvements in MPI analysis.
  • Comparing diagnostic performance of different CAD systems and analysis methods is essential.

Purpose of the Study:

  • To compare the diagnostic performance of two CAD systems, EXINI Heart (EXINI) and PERFEX Emory Cardiac Toolbox (PERFEX), in MPI.
  • To evaluate the accuracy of summed stress score (SSS) values derived from both software packages.
  • To assess the diagnostic utility of EXINI and PERFEX in identifying myocardial ischemia and infarction.

Main Methods:

  • A retrospective analysis of 1,052 patients undergoing 2-day stress/rest (99m)Tc-sestamibi MPI studies.
  • Reference standard classification of ischemia and/or infarction established by three independent expert physicians.
  • Automatic processing using EXINI and PERFEX to generate CAD results and SSS values based on the 17-segment model.

Main Results:

  • EXINI showed significantly higher accuracy than PERFEX in detecting ischemia (87.4% vs 77.6%) and abnormal studies (91.6% vs 67.9%).
  • EXINI's CAD system demonstrated superior specificity compared to its SSS values (86.8% vs 73.6%) at similar sensitivity levels.
  • Expert classifications identified ischemia in 257 patients and abnormal studies in 318 patients.

Conclusions:

  • EXINI provides greater diagnostic accuracy for detecting ischemia and abnormal studies in MPI compared to PERFEX.
  • The EXINI CAD system outperforms its own SSS analysis, suggesting its enhanced diagnostic capability.
  • These findings highlight EXINI's potential as a valuable tool in MPI interpretation.