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Profil bibliographique

Seth Kligerman

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

17Publications signalées
160Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Pulmonary Hypertension Research and TreatmentsMechanical Circulatory Support DevicesCardiovascular Function and Risk FactorsCardiac Structural Anomalies and RepairCongenital Heart Disease Studies

Les publications récentes

2025 article OpenAlex

Three‐dimensional regional evaluation of right ventricular myocardial work from cine computed tomography: A pilot study

Amanda Craine, Anderson Scott, Dhruvi Desai, Seth Kligerman et autres

BACKGROUND: Evaluating regional variations in right ventricular (RV) performance can be challenging, particularly in patients with significant impairments due to the need for 3D spatial coverage with high spatial resolution. ECG-gated cineCT can fully visualize the RV and be used to quantify …

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4 citations Medical Physics
Accès ouvert 2025 erratum OpenAlex

Author Correction: Proteomics and machine learning in the prediction and explanation of low pectoralis muscle area

Nicholas A. Enzer, Joe W. Chiles, Stefanie Mason, Toru Shirahata et autres

Author notes A list of authors and their affiliations appears online. Authors and Affiliations Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA Nicholas A. Enzer, Bina Choi, Alejandro A. Diaz, George R. Washko, …

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0 citations Scientific Reports
Accès ouvert 2024 article OpenAlex

Proteomics and machine learning in the prediction and explanation of low pectoralis muscle area

Nicholas A. Enzer, Joe W. Chiles, Stefanie Mason, Toru Shirahata et autres

Low muscle mass is associated with numerous adverse outcomes independent of other associated comorbid diseases. We aimed to predict and understand an individual's risk for developing low muscle mass using proteomics and machine learning. We identified eight biomarkers associated with low pectoralis …

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2 citations Scientific Reports
Accès ouvert 2024 preprint OpenAlex

3D regional evaluation of right ventricular myocardial work from cineCT

Amanda Craine, Anderson Scott, Dhruvi Desai, Seth Kligerman et autres

Background: Regional myocardial work (MW) is not measured in the right ventricle (RV) due to a lack of high spatial resolution regional strain (RS) estimates throughout the ventricle. We present a cineCT-based approach to evaluate regional RV performance and demonstrate its ability …

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0 citations medRxiv
Accès ouvert 2024 article OpenAlex

Regional Strain of Right Ventricle From Computed Tomography Improves Risk Stratification of Right Ventricle Failure

Anderson Scott, Zhennong Chen, Seth Kligerman, Paul J. Kim et autres

Patients who undergo implantation of a left ventricular assist device (LVAD) are at a high risk for right ventricular failure (RVF), presumably due to poor right ventricular (RV) function before surgery. Cine computerized tomography (cineCT) can be used to evaluate RV size, …

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4 citations ASAIO Journal
Accès ouvert 2023 article OpenAlex

Outcomes Associated With Catheter-Directed Therapies in Chronic Thromboembolic Pulmonary Hypertension

Jenny Z. Yang, Nick H. Kim, Seth Kligerman, Timothy M. Fernandes et autres

Background: Catheter-directed therapies (CDTs) for acute pulmonary embolism (PE) are becoming increasingly popular. Although potentially beneficial in acute PE, CDT is ineffective for chronic thromboembolic disease. Herein we present our experience of patients with subsequently confirmed chronic thromboembolic pulmonary hypertension (CTEPH) or …

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5 citations CHEST Pulmonary
Accès ouvert 2022 article OpenAlex

Pressure Volume Loop Analysis of the Right Ventricle in Heart Failure With Computed Tomography

Anderson Scott, Zhennong Chen, Diana Hernandez Hernandez, Seth Kligerman et autres

Right ventricular (RV) function is an important marker of mortality in chronic left-sided heart failure. Right ventricular function is particularly important for patients receiving left ventricular assist devices as it is a predictor of postoperative RV failure. RV stroke work index (RVSWI), …

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7 citations ASAIO Journal
2022 conference-abstract OpenAlex

Catheter-directed therapies in chronic thromboembolic pulmonary hypertension

Jiue‐An Yang, N Kim, Seth Kligerman, Timothy M. Fernandes et autres

Introduction: Catheter-directed therapies (CDT) for acute pulmonary embolism (PE), including catheter-directed thrombolytics and suction thrombectomy are becoming increasingly popular. While potentially beneficial in acute PE, CDT is ineffective for chronic thromboembolic disease. Here, we present our experience in patients with later confirmed …

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0 citations
Accès ouvert 2022 article OpenAlex

Preoperative Computed Tomography Assessment of Risk of Right Ventricle Failure After Left Ventricular Assist Device Placement

Anderson Scott, Seth Kligerman, Diana Hernandez Hernandez, Paul J. Kim et autres

Identification of patients who are at a high risk for right ventricular failure (RVF) after left ventricular assist device (LVAD) implantation is of critical importance. Conventional tools for predicting RVF, including two-dimensional echocardiography, right heart catheterization (RHC), and clinical parameters, generally have …

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12 citations ASAIO Journal
Accès ouvert 2022 article OpenAlex

Assessment of Regional Variability in COVID-19 Outcomes Among Patients With Cancer in the United States

Jessica E. Hawley, Tianyi Sun, David D. Chism, Narjust Duma et autres

Importance: The COVID-19 pandemic has had a distinct spatiotemporal pattern in the United States. Patients with cancer are at higher risk of severe complications from COVID-19, but it is not well known whether COVID-19 outcomes in this patient population were associated with …

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11 citations JAMA Network Open
Accès ouvert 2022 article OpenAlex

Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers

Justin Huynh, Samira Masoudi, Abraham Noorbakhsh, Amin Mahmoodi et autres

A major obstacle when developing convolutional neural networks (CNNs) for medical imaging is the acquisition of training labels: Most current approaches rely on manual class labels from physicians, which may be challenging to obtain. Clinical biomarkers, often measured alongside medical images and …

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10 citations IEEE Access

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