Publications by authors named "Evann Eisenberg"

Article Synopsis
  • The study analyzed the prognostic value of ischemic total perfusion defect (ITPD) in predicting major adverse cardiac events (MACE) in both men and women, using advanced SPECT imaging in an international registry.
  • Data from 17,833 patients revealed that ITPD was a significant predictor of MACE, with an interaction indicating differing impacts between sexes; specifically, men had worse survival rates when ITPD was less than 5%, while women had worse survival when ITPD was 5% or more.
  • Overall, the findings suggest that moderate to severe ischemia, as measured by ITPD, poses a greater risk for adverse outcomes in women compared to men.
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Article Synopsis
  • Stress-only myocardial perfusion imaging (MPI) can significantly cut down on radiation exposure, scanning time, and costs, leading to the development of an automated algorithm that accurately identifies patients who don't require additional rest imaging.
  • A machine learning score (MLS) was created to predict obstructive coronary artery disease (CAD) using clinical data and results from stress-only MPI, showing higher predictive accuracy than traditional reader diagnosis methods.
  • The MLS demonstrated a sensitivity of 95% for detecting obstructive CAD, outperforming other assessments and supporting a strategy that prioritizes stress imaging to streamline the diagnostic process.
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Aims: Recovery of left ventricular ejection fraction (LVEF) after aortic valve replacement has prognostic importance in patients with aortic stenosis (AS). The mechanism by which myocardial fibrosis impacts LVEF recovery in AS is not well characterized. We sought to evaluate the predictive value of extracellular volume fraction (ECV) quantified by cardiac CT angiography (CTA) for LVEF recovery in patients with AS after transcatheter aortic valve replacement (TAVR).

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Objectives: The association between extracellular volume (ECV) measured by computed tomography angiography (CTA) and clinical outcomes was evaluated in low-flow low-gradient (LFLG) aortic stenosis (AS) patients undergoing transcatheter aortic valve replacement (TAVR).

Background: Patients with LFLG AS comprise a high-risk group with respect to clinical outcomes. Although ECV, a marker of myocardial fibrosis, is traditionally measured with cardiac magnetic resonance, it can also be measured using cardiac CTA.

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Objectives: The machine learning ischemia risk score (ML-IRS) is a machine learning-based algorithm designed to identify hemodynamically significant coronary disease using quantitative coronary computed tomography angiography (CCTA). The purpose of this study was to examine whether the ML-IRS can predict revascularization in patients referred for invasive coronary angiography (ICA) after CCTA.

Methods: This study was a post hoc analysis of a prospective dual-center registry of sequential patients undergoing CCTA followed by ICA within 3 months, referred from inpatient, outpatient, and emergency department settings (n = 352, age 63 ± 10 years, 68% male).

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Article Synopsis
  • - This study investigated the benefits of early revascularization in patients with significant ischemia using data from a large international registry of myocardial perfusion imaging (SPECT-MPI) between 2009 and 2014.
  • - It found that patients showing greater than 10.2% ischemic total perfusion deficit (TPD) after automatic quantification had a lower risk of major adverse cardiovascular events (MACE) if they underwent revascularization within 90 days.
  • - The results suggest that early revascularization may be particularly beneficial for patients with moderate to severe ischemia, contributing to better cardiovascular outcomes compared to those who do not receive early intervention.
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Article Synopsis
  • Researchers developed a machine learning (ML) method to automatically determine when to cancel rest scans in SPECT myocardial perfusion imaging (MPI), aiming to decrease radiation exposure and costs.
  • The study used data from over 20,000 patients to train the ML model, which predicted major adverse cardiac events (MACE) and established three score thresholds to match physician decision-making.
  • Results showed that patients recommended for rest scan cancellation by ML had significantly lower MACE and all-cause mortality rates compared to those selected by traditional methods, indicating better prognostic safety with the ML approach.
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Purpose: Quantification of myocardial blood flow (MBF) has become central in the clinical application of Rubidium-82 (Rb) PET myocardial perfusion scans. Current recommendations suggest injections of 1100-1500 MBq of Rb in bolus form, which poses a potential risk of PET system saturation on most 3D PET/CT systems currently being used. We aimed to evaluate the frequency and impact of PET system saturation and to test the potential use of a half-dose acquisition protocol.

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Purpose: To improve the evaluation of low-attenuation plaque (LAP) by using semiautomated software and to assess whether the use of a proposed automated function (LAP editor) that excludes voxels adjacent to the outer vessel wall improves the relationship between LAP and the presence and size of the lipid-rich component (LRC) verified at intravascular US. At coronary CT angiography, quantification of LAP can improve risk stratification. defined as the area between the vessel and the lumen wall, is prone to partial volume effects from the surrounding pericoronary adipose tissue.

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Background: Epicardial adipose tissue (EAT) volume (cm) and attenuation (Hounsfield units) may predict major adverse cardiovascular events (MACE). We aimed to evaluate the prognostic value of fully automated deep learning-based EAT volume and attenuation measurements quantified from noncontrast cardiac computed tomography.

Methods: Our study included 2068 asymptomatic subjects (56±9 years, 59% male) from the EISNER trial (Early Identification of Subclinical Atherosclerosis by Noninvasive Imaging Research) with long-term follow-up after coronary artery calcium measurement.

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Cardiac allograft vasculopathy (CAV) is an increasingly important complication after cardiac transplant. We assessed the additive diagnostic benefit of quantitative plaque analysis in patients undergoing coronary computed tomography-angiography (CCTA). Consecutive patients undergoing CCTA for CAV surveillance were identified.

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Background: We tested the repeatability of myocardial blood flow (MBF) quantified using Rb with and without motion correction (MC) and with arterial input functions estimated from left ventricle (LV) and atrium (LA).

Methods: Twenty-one patients referred for clinical Rb PET/CT underwent repeated rest scans in a single imaging session. Global MBF was quantified using three different assessments by two operators: (1) automatic processing without MC and LV arterial input function (AIF), (2) with MC and LV-AIF, and (3) with MC and LA-AIF.

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Background: Guidelines suggest coronary computed tomography angiography (CCTA) should be performed with a heart rate (HR) below 60. Third-generation dual-source CT (DSCT) scanners, with improved temporal resolution, and end-systolic acquisition may facilitate imaging at higher HRs. We determined the influence of HR and end-systolic acquisition on image interpretability and quality with a third-generation DSCT.

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Aims: Ischaemia on single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) is strongly associated with cardiovascular risk. Transient ischaemic dilation (TID) and post-stress wall motion abnormalities (WMA) are non-perfusion markers of ischaemia with incremental prognostic utility. Using a large, multicentre SPECT MPI registry, we assessed the degree to which these features increased the risk of major adverse cardiovascular events (MACE) in patients with less than moderate ischaemia.

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Objectives: This study aimed to assess the association between increased lesion peri-coronary adipose tissue (PCAT) density and coronary F-sodium fluoride (F-NaF) uptake on positron emission tomography (PET) in stable patients with high-risk coronary plaques (HRPs) shown on coronary computed tomography angiography (CTA).

Background: Coronary F-NaF uptake reflects the rate of calcification of coronary atherosclerotic plaque. Increased PCAT density is associated with vascular inflammation.

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Heart failure (HF) numbers continue to grow in the United States and approximately 50% of patients living with HF are women. For the provider, it is critical to understand the role that gender plays in recognition, diagnosis, and management. The purpose of this literature review is to highlight the prevalence of heart failure in women and discuss gender variations in epidemiology, symptoms, pharmacology, and treatment as well as examine the representation of women in clinical trials.

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