ArticleEuropean journal of nuclear medicine and molecular imaging2018
Automated SPECT analysis compared with expert visual scoring for the detection of FFR-defined coronary artery disease.
Article in European journal of nuclear medicine and molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 23 citations in OpenAlex.
- Comparative evaluation of PET quantitative methods for myocardial viability assessment in CAD patients and its prognostic value.The international journal of cardiovascular imaging · 2026Article
- Variational autoencoders can detect coronary artery disease in myocardial perfusion SPECT images.European journal of nuclear medicine and molecular imaging · 2026Article
- Artificial Intelligence and Digital Technology in Cardiovascular Imaging: A Narrative Review.Biotech (Basel (Switzerland)) · 2026Review
- Myocardial perfusion imaging in advanced coronary artery disease.European journal of clinical investigation · 2025Review
- Association of epicardial fat volume with subclinical myocardial damage in patients with type 2 diabetes mellitus.Quantitative imaging in medicine and surgery · 2024Article
- Improved diagnostic accuracy for coronary artery disease detection with quantitative 3DEuropean journal of nuclear medicine and molecular imaging · 2023Article
- Long-Term Prognostic Value of Automated Measurements in Nuclear Cardiology: Comparisons with Expert Scoring.Medicina (Kaunas, Lithuania) · 2023Article
- Head-to-Head Comparison of CZT-SPECT and SPECT/CT Myocardial Perfusion Imaging: Interobserver and Intraobserver Agreement and Diagnostic Performance.Life (Basel, Switzerland) · 2023Article
- Regional myocardial perfusion imaging in predicting vessel-related outcome: interplay between the perfusion results and angiographic findings.European journal of nuclear medicine and molecular imaging · 2022Article
- Automated Analysis vs. Expert Reading in Nuclear Cardiology: Correlations with the Angiographic Score.Medicina (Kaunas, Lithuania) · 2022Article
- Automated quantitative analysis of CZT SPECT stratifies cardiovascular risk in the obese population: Analysis of the REFINE SPECT registry.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- The Comparison of Quantitative Evaluation Results of the MPS SPECT/CT and Coronary Angiography: Determining the Most Valuable Quantitative Evaluation ScoreMolecular imaging and radionuclide therapy · 2021Article
- Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2019Review
- A comparative study of standardized quantitative and visual assessment for predicting tumor volume and outcome in newly diagnosed diffuse large B-cell lymphoma staged with 18F-FDG PET/CT.EJNMMI research · 2019Article
- Artificial Intelligence in Cardiovascular Imaging.Methodist DeBakey cardiovascular journalReview
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Authors and funding
13 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTraditionally, interpretation of myocardial perfusion imaging (MPI) is based on visual assessment. Computer-based automated analysis might be a simple alternative obviating the need for extensive reading experience. Therefore, the aim of the present study was to compare the diagnostic performance of automated analysis with that of expert visual reading for the detection of obstructive coronary artery disease (CAD).
methods206 Patients (64% men, age 58.2 ± 8.7 years) with suspected CAD were included prospectively. All patients underwent
resultsSensitivity did not differ significantly between visual reading and most automated scoring parameters, except for SDS, which was significantly higher than visual assessment (p < 0.001). Specificity, however, was significantly higher for visual reading than for any of the automated scores (p < 0.001 for all). Diagnostic accuracy was significantly higher for visual scoring (77.2%) than for all NC images scores (p < 0.05), but not compared with SSS AC and S-TPD AC (69.8% and 71.2%, p = 0.063 and p = 0.134). After optimization of the automated software, diagnostic accuracies were similar for visual (73.8%) and automated analysis. Among the automated parameters, S-TPD AC showed the highest accuracy (73.5%).
conclusionAutomated analysis of myocardial perfusion SPECT can be as accurate as visual interpretation by an expert reader in detecting significant CAD defined by FFR.
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