Cargando…
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study
In this study, the ability of radiomics features extracted from myocardial perfusion imaging with SPECT (MPI-SPECT) was investigated for the prediction of ejection fraction (EF) post-percutaneous coronary intervention (PCI) treatment. A total of 52 patients who had undergone pre-PCI MPI-SPECT were e...
Autores principales: | Mohebi, Mobin, Amini, Mehdi, Alemzadeh-Ansari, Mohammad Javad, Alizadehasl, Azin, Rajabi, Ahmad Bitarafan, Shiri, Isaac, Zaidi, Habib, Orooji, Mahdi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407007/ https://www.ncbi.nlm.nih.gov/pubmed/37059890 http://dx.doi.org/10.1007/s10278-023-00820-1 |
Ejemplares similares
-
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition
por: Sabouri, Maziar, et al.
Publicado: (2022) -
Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study
por: Amini, Mehdi, et al.
Publicado: (2023) -
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms
por: Taleie, Haniyeh, et al.
Publicado: (2023) -
Comparison of Gated SPECT Myocardial Perfusion Imaging with Echocardiography for the Measurement of Left Ventricular Volumes and Ejection Fraction in Patients With Severe Heart Failure
por: Shojaeifard, Maryam, et al.
Publicado: (2015) -
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms
por: Arian, Fatemeh, et al.
Publicado: (2022)