Jonathan B Moody
Overview
Explore the profile of Jonathan B Moody including associated specialties, affiliations and a list of published articles.
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Articles
38
Citations
384
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Recent Articles
1.
Poitrasson-Riviere A, Vanderver M, Hagio T, Arida-Moody L, Moody J, Renaud J, et al.
J Nucl Cardiol
. 2024 Oct;
42:102052.
PMID: 39368659
Background: Fluorodeoxyglucose positron emission tomography (FDG PET) with suppression of myocardial glucose utilization plays a pivotal role in diagnosing cardiac sarcoidosis. Reorientation of images to match perfusion datasets and myocardial...
2.
Alahdab F, Saad M, Ahmed A, Al Tashi Q, Aminu M, Han Y, et al.
Cell Rep Med
. 2024 Sep;
5(10):101746.
PMID: 39326409
We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and assess its prognostic value for major adverse cardiovascular events (MACEs). Using 3,639...
3.
Renaud J, Al-Mallah M, Soman P, deKemp R, Beanlands R, Arumugam P, et al.
J Nucl Cardiol
. 2024 Aug;
41:102023.
PMID: 39179097
No abstract available.
4.
Poitrasson-Riviere A, Vanderver M, Hagio T, Arida-Moody L, Moody J, Renaud J, et al.
medRxiv
. 2024 Feb;
PMID: 38352354
Background: Fluorodeoxyglucose positron emission tomography (FDG PET) with glycolytic metabolism suppression plays a pivotal role in diagnosing cardiac sarcoidosis. Reorientation of images to match perfusion datasets is critical and myocardial...
5.
Moody J, Poitrasson-Riviere A, Renaud J, Hagio T, Alahdab F, Al-Mallah M, et al.
medRxiv
. 2023 Nov;
PMID: 37961713
Although deep learning methods have shown great promise for identification of structural and functional cardiac abnormalities using electrocardiographic data, these methods are data hungry, posing a challenge for critically important...
6.
Poitrasson-Riviere A, Moody J, Renaud J, Hagio T, Arida-Moody L, Buckley C, et al.
Eur J Nucl Med Mol Imaging
. 2023 Oct;
51(1):136-146.
PMID: 37807004
Purpose: Distinguishing obstructive epicardial coronary artery disease (CAD) from microvascular dysfunction and diffuse atherosclerosis would be of immense benefit clinically. However, quantitative measures of absolute myocardial blood flow (MBF) integrate...
7.
Moody J, Poitrasson-Riviere A, Renaud J, Hagio T, Al-Mallah M, Weinberg R, et al.
Eur J Nucl Med Mol Imaging
. 2023 Oct;
51(1):123-135.
PMID: 37787848
Background And Aims: Although treatment of ischemia-causing epicardial stenoses may improve symptoms of ischemia, current evidence does not suggest that revascularization improves survival. Conventional myocardial ischemia imaging does not uniquely...
8.
Renaud J, Poitrasson-Riviere A, Moody J, Hagio T, Ficaro E, Murthy V
Eur J Nucl Med Mol Imaging
. 2023 Sep;
51(1):147-158.
PMID: 37721579
Purpose: To establish requirements for normal databases for quantitative rubidium-82 (Rb) PET MPI analysis with contemporary 3D PET/CT technology and reconstruction methods for maximizing diagnostic accuracy of total perfusion deficit...
9.
Hagio T, Moody J, Poitrasson-Riviere A, Renaud J, Pierce L, Buckley C, et al.
Eur J Nucl Med Mol Imaging
. 2022 Nov;
50(4):1028-1033.
PMID: 36401636
Purpose: Although SPECT myocardial perfusion imaging (MPI) is susceptible to artifacts from soft tissue attenuation, most scans are performed without attenuation correction. Deep learning-based attenuation corrected (DLAC) polar maps improved...
10.
Hagio T, Poitrasson-Riviere A, Moody J, Renaud J, Arida-Moody L, Shah R, et al.
Eur J Nucl Med Mol Imaging
. 2022 Mar;
49(9):3140-3149.
PMID: 35312837
Purpose: Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT) is widely used for coronary artery disease (CAD) evaluation. Although attenuation correction is recommended to diminish image artifacts and...