Review of cardiovascular imaging in the Journal of Nuclear Cardiology in 2017. Part 2 of 2: Myocardial perfusion imaging

Hage, Fadi G.; AlJaroudi, Wael

doi:10.1007/s12350-018-1266-z

Cited by 13 publications

(5 citation statements)

References 95 publications

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“…SPECT myocardial perfusion imaging (MPI) is the most widely applied noninvasive method for the detection and risk stratification of coronary artery disease (1). It is less costly and more widely available than PET MPI.…”

Section: Introductionmentioning

confidence: 99%

Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study

et al. 2021

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Purpose: Dedicated cardiac SPECT scanners with cadmium-zinc-telluride (CZT) cameras have shown capabilities of shortened scan times or reduced radiation doses as well as improved image quality. Since most of the dedicated scanners do not have an integrated CT, image quantification with attenuation correction (AC) is challenging and artifacts are routinely encountered in daily clinical practice. In this work, we demonstrate a direct AC technique using deep learning (DL) for myocardial perfusion imaging (MPI). Methods:In an IRB-approved retrospective study, 100 cardiac SPECT/CT datasets with 99m Tctetrofosmin using a GE Discovery NM/CT 570c scanner were collected at the Yale New Haven Hospital. A U-Net-based network was used for generating attenuation-corrected SPECT (SPECTDL) directly from non-corrected SPECT (SPECTNC) without undergoing an additional image reconstruction step. The accuracy of SPECTDL was evaluated by voxel-wise and segment-wise analyses against the reference CT-based AC (SPECTCTAC) using American Heart Association 17 segments in the myocardium. Polar maps of representative (best/median/worst) cases were visually compared for illustrating potential benefits and pitfalls of the DL approach. Results:The voxel-wise correlations with SPECTCTAC were 92.2% ± 3.7 (slope = 0.87; R 2 = 0.81) and 97.7% ± 1.8 (slope = 0.94; R 2 = 0.91) for SPECTNC and SPECTDL, respectively. The segmental errors of SPECTNC scattered from -35% up to 21% (p < 0.001); while, the errors of SPECTDL stayed mostly within ±10% (p < 0.001). The average segmental errors (mean±SD) were -6.11 ± 8.06% and 0.49 ± 4.35% for SPECTNC and SPECTDL, respectively. The average absolute segmental errors were 7.96 ± 6.23% and 3.31 ± 2.87% for SPECTNC and SPECTDL, respectively. Review of polar maps revealed successful demonstration of reduced attenuation artifacts; however, the performance of SPECTDL was not consistent for all subjects likely due to different amount of attenuation and uptake patterns. Conclusion:We demonstrated the feasibility of direct AC using DL for SPECT MPI. Overall, our DL approach reduced attenuation artifacts substantially compared to SPECTNC, justifying further studies to establish safety and consistency for clinical applications in stand-alone SPECT systems suffered from attenuation artifacts.

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Section: Introductionmentioning

confidence: 99%

Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study

et al. 2021

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“…To understand the impact of cardiac metabolic processes during CVD progression on a translational level, scientists have turned to the use of existent radiopharmaceuticals and imaging techniques. Currently, there are a number of clinical radiopharmaceuticals such as 99m technetium-sestamibi ( 99m Tc-MIBI) ( 129 ), or CardioLite (Lantheus), and [ 18 F]FDG ( 130 ), and emerging techniques for interrogating metabolic parameters such as glutamine uptake and pyruvate transport potential ( Figure 2 ). There has been a desire in the cardiology community for a pure, safe, noninvasive flow tracer, essentially equivalent to 3 H-microsphere retention in the heart.…”

Section: Cardiac Metabolic Imaging and Applications In Cardio-oncologymentioning

confidence: 99%

Cardio-Oncology

Karlstaedt

Barrett

et al. 2021

JACC: Basic to Translational Science

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Highlights Cancer cells can promote metabolic remodeling in the heart. Metabolic changes provide opportunities for novel treatment strategies to prevent heart failure and monitor disease progression through new imaging techniques. Translational biomarker and imaging studies are needed to further understand the impact of cancer cell biology on the heart.

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“…It has been a tradition to summarize some of the key articles that were published each year. [1][2][3][4][5][6][7][8][9][10][11] This review is dedicated to the colleagues and loved ones we lost during the pandemic, and to the bright minds whose vigorous and endless efforts and dedication transcended all obstacles to provide us with these amazing papers. This review will specifically address articles published in the Journal relating to positron emission tomography (PET), cardiac computed tomography (CT), and cardiac magnetic resonance (CMR).…”

Section: Introductionmentioning

confidence: 99%

Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2020: positron emission tomography, computed tomography, and magnetic resonance

AlJaroudi

Hage

2021

Journal of Nuclear Cardiology

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Although the year 2020 was different from other years in many respects, the Journal of Nuclear Cardiology published excellent articles pertaining to imaging in patients with cardiovascular disease due to the dedication of the investigators in our field all over the world. In this review, we will summarize a selection of these articles to provide a concise review of the main advancements that have recently occurred in the field and provide the reader with an opportunity to review a wide selection of articles. We will focus on publications dealing with positron emission tomography, computed tomography, and magnetic resonance and hope that you will find this review helpful.

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Review of cardiovascular imaging in the Journal of Nuclear Cardiology in 2017. Part 2 of 2: Myocardial perfusion imaging

Cited by 13 publications

References 95 publications

Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study

Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study

Cardio-Oncology

Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2020: positron emission tomography, computed tomography, and magnetic resonance

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