Internal Medicine Commons^™

Echocardiographic Predictors Of Symptomatic Cardiotoxicity Among Patients Undergoing Chemotherapy: A Systematic Review And Meta-Analysis, Muhammad Umer Siddiqui, Youssef Yaacoub, Heidi-Anne Hanson, Joey Junarta, Ahmed K Pasha, Mahek Shah

Division of Internal Medicine Faculty Papers & Presentations

BACKGROUND: Chemotherapeutic agents have been associated with cardiotoxicity; thus, they require close monitoring. Several echocardiographic variables have been investigated as early predictors of symptomatic cardiotoxicity in patients undergoing chemotherapy.

OBJECTIVE: To identify if global longitudinal strain (GLS) is a better predictor of symptomatic cardiotoxicity compared to left ventricular ejection fraction (LVEF) in patients receiving chemotherapy.

METHODS: MEDLINE, Scopus, and Cochrane Central Register of Controlled Trials were searched from inception through December 2020. Adults who developed symptomatic cardiotoxicity (New York Heart Association [NYHA] Class III-IV heart failure, cardiac arrest, or cardiac death) after undergoing chemotherapy with pre- and postchemotherapy echocardiographic measures …

The Overestimation Of Concentric Hypertrophy In Patients With Hfpef As Determined By 2d-Echocardiography, Mohammad F. Mathbout, Hussam Al Hennawi, Anwar Khedr, Gaurang N. Vaidya, Marcus Stoddard

Division of Internal Medicine Faculty Papers & Presentations

Background: Heart failure with preserved ejection fraction continues to pose multiple challenges in terms of accurate diagnosis, treatment, and associated morbidity. Accurate left ventricular (LV) mass calculation yields essential prognostic information relating to structural heart disease. Two-dimensional (2D) echocardiography-based calculations are solely limited to LV geometric assumptions of symmetry, whereas three-dimensional (3D) echocardiography could overcome these limitations. This study aims to compare the performance of 2D and 3D LV mass calculations. Methods: A prospective review of echocardiography findings at the University of Louisville, Kentucky, was conducted and assessed. Normal ejection fraction (EF) was defined as >=52% in males and >=54% …

The Effect Of Scan And Patient Parameters On The Diagnostic Performance Of Ai For Detecting Coronary Stenosis On Coronary Ct Angiography, Rebecca Jonas, Emil Barkovich, Andrew D Choi, William F Griffin, Joanna Riess, Hugo Marques, Hyuk-Jae Chang, Jung Hyun Choi, Joon-Hyung Doh, Ae-Young Her, Bon-Kwon Koo, Chang-Wook Nam, Hyung-Bok Park, Sang-Hoon Shin, Jason Cole, Alessia Gimelli, Muhammad Akram Khan, Bin Lu, Yang Gao, Faisal Nabi, Ryo Nakazato, U Joseph Schoepf, Roel S Driessen, Michiel J Bom, Randall C Thompson, James J Jang, Michael Ridner, Chris Rowan, Erick Avelar, Philippe Généreux, Paul Knaapen, Guus A De Waard, Gianluca Pontone, Daniele Andreini, Marco Guglielmo, Mouaz H Al-Mallah, Robert S Jennings, Tami R Crabtree, James P Earls

Division of Internal Medicine Faculty Papers & Presentations

Objectives: To determine whether coronary computed tomography angiography (CCTA) scanning, scan preparation, contrast, and patient based parameters influence the diagnostic performance of an artificial intelligence (AI) based analysis software for identifying coronary lesions with ≥50% stenosis.

Background: CCTA is a noninvasive imaging modality that provides diagnostic and prognostic benefit to patients with coronary artery disease (CAD). The use of AI enabled quantitative CCTA (AI-QCT) analysis software enhances our diagnostic and prognostic ability, however, it is currently unclear whether software performance is influenced by CCTA scanning parameters.

Methods: CCTA and quantitative coronary CT (QCT) data from 303 stable patients (64 ± …