Unlabelled: The echocardiographic determination of left ventricular mass (LVM) and volume is of importance for the interpretation of cardiac adaptations and risk-stratification. In pathologically hypertrophied hearts, conventional one- and two-dimensional echocardiographic methods tend to overestimate LVM. For the athlete's heart, a comparison between different echocardiographic methods and magnetic resonance imaging (MRI) has not been performed so far. 23 healthy male endurance-athletes (28+/-4 yr) with athlete's heart (A) and 26 healthy untrained males (U; 26+/-4 yr) were examined by MRI and the following echocardiographic methods: ASE-Cube (ASE), Devereux (DEV), Troy (TRO), Teichholz (TEI), Reichek (REI) and Dickhuth (DIC). Indexed LVM were: MRI: 107+/-6 g/m(2) (A), 79+/-7 g/m(2) (U); ASE: 170+/-20 g/m(2) (A), 119+/-14 g/m(2) (U); DEV: 134+/-16 g/m(2) (A), 95+/-11 g/m(2) (U); TRO: 134+/-16 g/m(2) (A), 92+/-12 g/m(2) (U); TEI: 115+/-10 g/m(2) (A), 91+/-8 g/m(2) (U); REI: 114+/-14 g/m(2) (A), 89+/-11 g/m(2) (U); DIC: 110+/-14 g/m(2) (A); 80+/-9 g/m(2) (U). In A and U, LVM is significantly overestimated by ASE, DEV, TRO, TEI, and REI compared to MRI (p<0.05), but not by DIC. Although coefficients of correlation were similar, only DIC revealed acceptable limits of agreement (ASE: +20 to +172 g; DEV: -13 to +93 g; TRO: -18 to +92 g; TEI: -17 to +53 g; REI: -25 to +57 g; DIC: -37 to +45 g). Depending on the used method, LVM upper limits range between 93 (MRT) and 146 g/m(2) (ASE) in U, and 119 (MRT) and 209 g/m(2) (ASE) in A.
Conclusion: Compared to MRI, DIC is the most accurate conventional echocardiographic method to determine LVM in U and A. For a correct interpretation of LVM, differences of the echocardiographic methods have to be considered.
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http://dx.doi.org/10.1007/s00392-003-0907-6 | DOI Listing |
Sci Rep
January 2025
Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China.
This study investigated the correlation between quantitative echocardiographic characteristics within 3 days of birth and necrotizing enterocolitis (NEC) and its severity in preterm infants. A retrospective study was conducted on 168 preterm infants with a gestational age of < 34 weeks. Patients were categorized into NEC and non-NEC groups.
View Article and Find Full Text PDFHeart Rhythm
January 2025
Division of Cardiology, University of Ottawa Heart Institute, Canada. Electronic address:
Background: The assessment of left ventricular (LV) systolic function and quantification of LV ejection fraction (EF) in patients with atrial fibrillation (AF) can be difficult. We previously demonstrated that LV volume changes over the 100 ms of systole (LVEF) can be used as a measure of LV systolic function.
Objective: We sought to evaluate the applicability of LVEF in AF patients.
Pediatr Neurol
January 2025
Faculty of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Pediatrics Research Group, Institut de Recerca Sant Pau (IR-Sant Pau), Barcelona, Spain; Pediatric Neurology Unit, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Background: Dravet syndrome (DS) is a severe developmental and epileptic encephalopathy associated with loss-of-function variants in the SCN1A gene. Although predominantly expressed in the central nervous system, SCN1A is also expressed in the heart, suggesting a potential link between neuronal and cardiac channelopathies. Additionally, DS carries a high risk of sudden unexpected death in epilepsy (SUDEP).
View Article and Find Full Text PDFJ Clin Med
January 2025
Rheumatology Unit, Department of Precision and Regenerative Medicine Jonian Area (DiPReMeJ), University of Bari "Aldo Moro", 70124 Bari, Italy.
Pulmonary arterial hypertension (PAH) is a complication of systemic sclerosis (SSc), and several screening algorithms have been proposed for the early detection of PAH in SSc. This study aimed to evaluate the predicting values of the DETECT algorithm for SSc-PAH screening in patients with SSc undergoing right heart catheterization (RHC) based on 2015 ESC/ERS echocardiographic criteria in a real-life setting. Patients fulfilling the 2013 ACR/EULAR classification criteria for SSc and with available data for PAH screening with the DETECT algorithm and the 2015 ESC/ERS echocardiographic criteria were retrospectively enrolled from January to June 2017 and then followed for 5 years.
View Article and Find Full Text PDFJ Clin Med
January 2025
Guthrie Cortland Medical Center, Cortland, NY 13045, USA.
Artificial intelligence (AI) in echocardiography represents a transformative advancement in cardiology, addressing longstanding challenges in cardiac diagnostics. Echocardiography has traditionally been limited by operator-dependent variability and subjective interpretation, which impact diagnostic reliability. This study evaluates the role of AI, particularly machine learning (ML), in enhancing the accuracy and consistency of echocardiographic image analysis and its potential to complement clinical expertise.
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