ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2018
Fully automated analysis of attenuation-corrected SPECT for the long-term prediction of acute myocardial infarction.
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 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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15 citing papers in PubMed, 23 citations in OpenAlex.
- Cross-institutional validation of a polar map-free 3D deep learning model for obstructive coronary artery disease prediction using myocardial perfusion imaging: insights into generalizability and bias.European journal of nuclear medicine and molecular imaging · 2025Article
- A novel algorithm developed using machine learning and a J-ACCESS database can estimate defect scores from myocardial perfusion single-photon emission tomography images.Annals of nuclear medicine · 2024Article
- The prognostic value of single photon emission computed tomography (SPECT) myocardial perfusion imaging is independent of left ventricular size.Quantitative imaging in medicine and surgery · 2024Article
- CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients.European journal of nuclear medicine and molecular imaging · 2024Article
- Prediction of 2-year major adverse cardiac events from myocardial perfusion scintigraphy and clinical risk factors.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 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
- Automation in Nuclear Cardiology: Time for Flurpiridaz to Join the Club.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- CRAX: A simple cardiovascular risk assessment tool to predict risk of acute myocardial infarction or death.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020Article
- 5-Year Prognostic Value of Quantitative Versus Visual MPI in Subtle Perfusion Defects: Results From REFINE SPECT.JACC. Cardiovascular imaging · 2020Article
- Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020Review
- Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019Review
- Leveraging latest computer science tools to advance nuclear cardiology.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Article
- Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.JACC. Cardiovascular imaging · 2018Article
- Fully automated analysis of perfusion data: The rise of the machines.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018Article
- New Trends in Quantitative Nuclear Cardiology Methods.Current cardiovascular imaging reports · 2018Article
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7 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundMost prior studies assessing the prognostic value of SPECT myocardial perfusion imaging (MPI) have used semi-quantitative visual analysis. We assessed the feasibility of large-scale fully automated quantitative analysis of SPECT MPI to predict acute myocardial infarction (AMI). Additionally, we examined the impact of attenuation correction (AC) in automated strategies. METHODS AND
results5960 patients underwent rest/stress SPECT MPI with AC. Left ventricular (LV) segmentation, contour QC check, and quantitation of stress and ischemic total perfusion deficit (sTPD, iTPD) were performed. Only contours flagged for potential errors by QC were visually checked (10%). During long-term follow-up (6.1 ± 2.7 years), 522 patients (9%) had AMI. In Cox models, adjusted for ejection fraction (LVEF) and other relevant covariates, there was a stepwise increase in risk hazard ratios by quartile for sTPD (Q1: 1.00, Q2: 1.26, Q3: 1.66, Q4: 1.79; P < 0.0001) and iTPD (Q1: 1.00, Q2: 1.26, Q3: 1.66, Q4: 1.79; P < 0.0001). Area under curve for AMI prediction by automated measures was similar for AC and non-AC data (sTPD: 0.63 vs 0.64, P = 0.85; iTPD: 0.61 vs 0.61, P = 0.70). Higher AUCs for both AC and non-AC data were seen for AMI occurring in the first 1 year of follow-up (sTPD: 0.71, 0.72; iTPD: 0.70, 0.68).
conclusionsFully automated sTPD was an independent predictor of future AMI events even after adjusting for LVEF and other relevant covariates. AC did not significantly impact predictive accuracy.
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