35 research outputs found
The role of sex, training load, and sports type in athletic cardiac remodelling: Insights from T1 and T2 mapping via cardiac magnetic resonance
No full textBackground: Cardiovascular magnetic resonance (CMR) imaging, utilising native T1 and T2 mapping, provides a non-invasive method for assessing myocardial tissue properties, contributing to the clinical evaluation of the athlete's heart. Objective: To evaluate T1 and T2 mapping alterations and their association with sex, training volume, sports type, and other standard CMR parameters of the athlete's heart. Methods: We conducted a cross-sectional analysis of healthy elite athletes (≥10 training hours/week) and sedentary controls (≤5 h/week) who underwent detailed cardiology screening. CMR was performed, and native T1 and T2 values were quantified. Results: Of the 199 healthy participants (115 elite athletes, 24 ± 5 years, 70 % males; 84 sedentary volunteers, 26 ± 3 years, 58 % males), athletes had higher ventricular volumes, left ventricular mass (LVMi), and lower ejection fractions than volunteers. Athletes showed lower T1 values (male athletes:941 ± 23 ms vs. 960 ± 21 ms, p < 0.01; female athletes:970 ± 20 ms vs. 982 ± 25 ms, p < 0.01). T1 negatively correlated with training hours and LVMi (Rho: −0.554, p < 0.001). T1 values were positively associated with female sex with 22 ms (CI 14.3, 29.7, p < 0.001) higher values than males, while each additional hour in weekly exercise volume was associated with a 0.5 ms (CI -0.84, −0.11, p = 0.011) decrease. Compared to strength and mixed athletes, endurance athletes showed more pronounced myocardial adaptation, reflected in lower T1. Conclusion: Sex, training volume, and type of sport significantly influence CMR-derived T1 and T2 values. This study highlights the critical need for sex- and sport-type-specific reference ranges in assessing myocardial remodelling in athletes, facilitating the distinction between benign athletic remodelling and (early) pathological changes
On a joint Research Publications and Authors Ranking
Get PDFThe paper introduces a new analysis technique for evaluating research activities which is based on a random walk on the bipartite graph of papers and authors. This technique is an extension of the PageRank family algorithm to this setting. It leads to a new ranking algorithm where the ranking of a paper/author depends on that of the papers/authors citing it/him or her. We compare the results against existing ranking methods through the analysis of simple scenarios
Fight Against Hunger: A Worldwide Challenge at the Onset of the Third Millenary
No full textWe live in such an era and face such a century, in which the growth of the- world population, the problems deriving from the population explosion will create an unprecedented and never recurring situation for Hungary and the Hungarian animal husbandry as regards the tasks and possibilities ahead us. While presently 6 billion people live on Earth, in the first century of the third millenary the population can reach 10-12 billion and is expected to stagnate around that number. The Third World, the so-called developing countries struggling with enormous difficulties, makes up for 90% of the annual population growth of 80-90 million people, while the population of the developed countries is stagnant or decreasing. In this aspect, Hungary' s situation is extremely worrisome, because our population has been decreasing for two decades, and according to recent demographic forecasts could drop to 8 million in the next century if the present trend continues. This should be impeded, among others with the contribution of animal husbandry. The author evaluates the genetical possibilities with the help of which stockbreeders can meet the requirements of the futur
On a joint Research Publications and Authors Ranking
No full textThe paper introduces a new analysis technique for evaluating research activities which is based on a random walk on the bipartite graph of papers and authors. This technique is an extension of the PageRank family algorithm to this setting. It leads to a new ranking algorithm where the ranking of a paper/author depends on that of the papers/authors citing it/him or her. We compare the results against existing ranking methods through the analysis of simple scenarios
Automated Classification of Left Ventricular Hypertrophy on Cardiac MRI
No full textLeft ventricular hypertrophy is an independent predictor of coronary artery disease, stroke, and heart failure. Our aim was to detect LVH cardiac magnetic resonance (CMR) scans with automatic methods. We developed an ensemble model based on a three-dimensional version of ResNet. The input of the network included short-axis and long-axis images. We also introduced a standardization methodology to unify the input images for noise reduction. The output of the network is the decision whether the patient has hypertrophy or not. We included 428 patients (mean age: 49 ± 18 years, 262 males) with LVH (346 hypertrophic cardiomyopathy, 45 cardiac amyloidosis, 11 Anderson–Fabry disease, 16 endomyocardial fibrosis, 10 aortic stenosis). Our control group consisted of 234 healthy subjects (mean age: 35 ± 15 years; 126 males) without any known cardiovascular diseases. The developed machine-learning-based model achieved a 92% F1-score and 97% recall on the hold-out dataset, which is comparable to the medical experts. Experiments showed that the standardization method was able to significantly boost the performance of the algorithm. The algorithm could improve the diagnostic accuracy, and it could open a new door to AI applications in CMR
Certainties and Uncertainties of Cardiac Magnetic Resonance Imaging in Athletes
No full textProlonged and intensive exercise induces remodeling of all four cardiac chambers, a physiological process which is coined as the “athlete’s heart”. This cardiac adaptation, however, shows overlapping features with non-ischemic cardiomyopathies, such as dilated, arrhythmogenic and hypertrophic cardiomyopathy, also associated with athlete’s sudden cardiac death. Cardiac magnetic resonance (CMR) is a well-suited, highly reproducible imaging modality that can help differentiate athlete’s heart from cardiomyopathy. CMR allows accurate characterization of the morphology and function of cardiac chambers, providing full coverage of the ventricles. Moreover, it permits an in-depth understanding of the myocardial changes through specific techniques such as mapping or late gadolinium enhancement. In this narrative review, we will focus on the certainties and uncertainties of the role of CMR in sports cardiology. The main aspects of physiological adaptation due to regular and intensive sports activity and the application of CMR in highly trained athletes will be summarized
DIAGNOSIS OF ARRHYTHMOGENIC RIGHT VENTRICULAR DYSPLASIA/CARDIOMYOPATHY IN ATHLETES USING CARDIAC MAGNETIC RESONANCE IMAGING
No full textHow are ECG parameters related to cardiac magnetic resonance images? Electrocardiographic predictors of left ventricular hypertrophy and myocardial fibrosis in hypertrophic cardiomyopathy
No full textAbstract Background Structural myocardial changes in hypertrophic cardiomyopathy (HCM) are associated with different abnormalities on electrocardiographs (ECGs). The diagnostic value of the ECG voltage criteria used to screen for left ventricular hypertrophy (LVH) may depend on the presence and degree of myocardial fibrosis. Fibrosis can cause other changes in ECG parameters, such as pathological Q waves, fragmented QRS (fQRS), or repolarization abnormalities. Methods We investigated 146 patients with HCM and 35 healthy individuals who underwent cardiac magnetic resonance imaging (CMR; with late gadolinium enhancement [LGE] in HCM patients) and standard 12‐lead ECGs. On the ECG, depolarization and repolarization abnormalities, the Sokolow–Lyon index, the Cornell index, and the Romhilt–Estes score were evaluated. The left ventricular ejection fraction, volumes, and myocardial mass (LVM) were quantified. Myocardial fibrosis was quantified on LGE images. Results The sensitivity of the Romhilt–Estes score was the highest (75%), and this hypertrophy criterion had the strongest correlation with the LVM index (p < .0001; r = .41). The amount of fibrosis was negatively correlated with the Cornell index (p = .015; r = −.201) and the Sokolow–Lyon index (p = .005; r = −.23), and the Romhilt–Estes score was independent of fibrosis (p = .757; r = 0.026). fQRS and strain pattern predicted more fibrosis, while the Cornell index was a negative predictor of myocardial fibrosis (p < .0001). Among others, the strain pattern was an independent predictor of the LVM (p < .0001). Conclusion The Romhilt–Estes score is the most sensitive ECG criterion for detecting LVH in HCM patients, as myocardial fibrosis does not affect this criterion. The presence of fQRS and strain pattern predicts myocardial fibrosis
raw database
No full textRaw data regarding the paper entitled "The Demanding Grey Zone: Sport Indices by Cardiac Magnetic Resonance Imaging Differentiate Hypertrophic Cardiomyopathy from Athlete’s Heart" is presented in the current file. Codes applied in the database are presented in a separate spreadsheet. Abbreviations are listed in the manuscript
Data from: The demanding grey zone: sport indices by cardiac magnetic resonance imaging differentiate hypertrophic cardiomyopathy from athlete's heart
No full textBackground: We aimed to characterize gender specific left ventricular hypertrophy using a novel, accurate and less time demanding cardiac magnetic resonance (CMR) quantification method to differentiate physiological hypertrophy and hypertrophic cardiomyopathy based on a large population of highly trained athletes and hypertrophic cardiomyopathy patients. Methods and Results: Elite athletes (n=150,>18 training hours/week), HCM patients (n=194) and athletes with hypertrophic cardiomyopathy (n=10) were examined by CMR. CMR based sport indices such as maximal end-diastolic wall thickness to left ventricular end-diastolic volume index ratio (EDWT/LVEDVi) and left ventricular mass to left ventricular end-diastolic volume ratio (LVM/LVEDV) were calculated, established using both conventional and threshold-based quantification method. Whereas 47.5% of male athletes, only 4.1% of female athletes were in the grey zone of hypertrophy (EDWT 13-16mm). EDWT/LVEDVi discriminated between physiological and pathological left ventricular hypertrophy with excellent diagnostic accuracy (AUCCQ:0.998, AUCTQ:0.999). Cut-off value for LVM/LVEDVCQ<0.82 mm×m2/ml and for EDWT/LVEDViTQ<1.27 discriminated between physiological and pathological left ventricular hypertrophy with a sensitivity of 77.8% and 89.2%, a specificity of 86.7% and 91.3%, respectively. LVM/LVEDV evaluated using threshold-based quantification performed significantly better than conventional quantification even in the male subgroup with EDWT between 13-16mm (p<0.001). Conclusions: Almost 50% of male highly trained athletes can reach EDWT of 13 mm. CMR based sport indices provide an important tool to distinguish hypertrophic cardiomyopathy from athlete’s heart, especially in highly trained athletes in the grey zone of hypertrophy
