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This reference thoroughly equips you to successfully diagnose and manage even the most complex incidences of diastolic heart failure and their comorbidities. It examines the basic mechanisms of this condition through discussions of both cellular and anatomic causes; guides you through non-invasive techniques for diagnosis, including echocardiography, cardiac CT, and MRI; and provides expert advice on pharmacologic management.Covers the basic mechanisms of diastolic heart problems from both cellular and anatomic perspectives. Chapters covering modalities helpful in assessment

Congestive heart failure. --- Heart --- Diastole (Cardiac cycle) --- Left ventricle --- Pathophysiology.

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This reference thoroughly equips you to successfully diagnose and manage even the most complex incidences of diastolic heart failure and their comorbidities. It examines the basic mechanisms of this condition through discussions of both cellular and anatomic causes; guides you through non-invasive techniques for diagnosis, including echocardiography, cardiac CT, and MRI; and provides expert advice on pharmacologic management.Covers the basic mechanisms of diastolic heart problems from both cellular and anatomic perspectives. Chapters covering modalities helpful in assessment

Congestive heart failure. --- Heart --- Diastole (Cardiac cycle) --- Left ventricle --- Pathophysiology. --- Relaxation, Diastolic (Cardiac cycle) --- Heart beat --- Cardiopulmonary system --- Cardiovascular system --- Chest --- Heart failure --- Diastolic relaxation --- Relaxation, Diastolic

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Mathematical modelling in biomedicine is a rapidly developing scientific discipline at the intersection of medicine, biology, mathematics, physics, and computer science. Its progress is stimulated by fundamental scientific questions and by the applications to public health. This book represents a collection of papers devoted to mathematical modelling of various physiological problems in normal and pathological conditions. It covers a broad range of topics including cardiovascular system and diseases, heart and brain modelling, tumor growth, viral infections, and immune response. Computational models of blood circulation are used to study the influence of heart arrhythmias on coronary blood flow and on operating modes for left-ventricle-assisted devices. Wave propagation in the cardiac tissue is investigated in order to show the influence of tissue heterogeneity and fibrosis. The models of tumor growth are used to determine optimal protocols of antiangiogenic and radiotherapy. The models of viral hepatitis kinetics are considered for the parameter identification, and the evolution of viral quasi-species is investigated. The book presents the state-of-the-art in mathematical modelling in biomedicine and opens new perspectives in this passionate field of research.

Research & information: general --- Mathematics & science --- virus density distribution --- genotype --- virus infection --- immune response --- resistance to treatment --- nonlocal interaction --- quasi-species diversification --- mathematical oncology --- spatially distributed modeling --- reaction-diffusion-convection equations --- computer experiment --- spiral wave --- heterogeneity --- heart modeling --- myocardium --- left ventricle --- neural field model --- integro-differential equation --- waves --- brain stimulation --- mathematical modeling --- cardiac mechanics --- multiscale simulation --- cardiomyopathies --- left ventricle remodeling --- spatially-distributed modeling --- gradient descent --- 1D haemodynamics --- systole variations --- coronary circulation --- cardiac pacing --- tachycardia --- bradycardia --- interventricular asynchrony --- long QT syndrome --- premature ventricular contraction --- rotary blood pump --- lumped heart model --- cardiac fibrosis --- excitable media --- wave break --- elongated obstacle --- lymph flow --- mathematical modelling --- lymphatic vessels --- lymph nodes --- parameter estimation --- constrained optimization --- derivative free optimization --- multiscale models --- differential equations --- viral hepatitis --- virus density distribution --- genotype --- virus infection --- immune response --- resistance to treatment --- nonlocal interaction --- quasi-species diversification --- mathematical oncology --- spatially distributed modeling --- reaction-diffusion-convection equations --- computer experiment --- spiral wave --- heterogeneity --- heart modeling --- myocardium --- left ventricle --- neural field model --- integro-differential equation --- waves --- brain stimulation --- mathematical modeling --- cardiac mechanics --- multiscale simulation --- cardiomyopathies --- left ventricle remodeling --- spatially-distributed modeling --- gradient descent --- 1D haemodynamics --- systole variations --- coronary circulation --- cardiac pacing --- tachycardia --- bradycardia --- interventricular asynchrony --- long QT syndrome --- premature ventricular contraction --- rotary blood pump --- lumped heart model --- cardiac fibrosis --- excitable media --- wave break --- elongated obstacle --- lymph flow --- mathematical modelling --- lymphatic vessels --- lymph nodes --- parameter estimation --- constrained optimization --- derivative free optimization --- multiscale models --- differential equations --- viral hepatitis

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Mathematical modelling in biomedicine is a rapidly developing scientific discipline at the intersection of medicine, biology, mathematics, physics, and computer science. Its progress is stimulated by fundamental scientific questions and by the applications to public health. This book represents a collection of papers devoted to mathematical modelling of various physiological problems in normal and pathological conditions. It covers a broad range of topics including cardiovascular system and diseases, heart and brain modelling, tumor growth, viral infections, and immune response. Computational models of blood circulation are used to study the influence of heart arrhythmias on coronary blood flow and on operating modes for left-ventricle-assisted devices. Wave propagation in the cardiac tissue is investigated in order to show the influence of tissue heterogeneity and fibrosis. The models of tumor growth are used to determine optimal protocols of antiangiogenic and radiotherapy. The models of viral hepatitis kinetics are considered for the parameter identification, and the evolution of viral quasi-species is investigated. The book presents the state-of-the-art in mathematical modelling in biomedicine and opens new perspectives in this passionate field of research.

Research & information: general --- Mathematics & science --- virus density distribution --- genotype --- virus infection --- immune response --- resistance to treatment --- nonlocal interaction --- quasi-species diversification --- mathematical oncology --- spatially distributed modeling --- reaction-diffusion-convection equations --- computer experiment --- spiral wave --- heterogeneity --- heart modeling --- myocardium --- left ventricle --- neural field model --- integro-differential equation --- waves --- brain stimulation --- mathematical modeling --- cardiac mechanics --- multiscale simulation --- cardiomyopathies --- left ventricle remodeling --- spatially-distributed modeling --- gradient descent --- 1D haemodynamics --- systole variations --- coronary circulation --- cardiac pacing --- tachycardia --- bradycardia --- interventricular asynchrony --- long QT syndrome --- premature ventricular contraction --- rotary blood pump --- lumped heart model --- cardiac fibrosis --- excitable media --- wave break --- elongated obstacle --- lymph flow --- mathematical modelling --- lymphatic vessels --- lymph nodes --- parameter estimation --- constrained optimization --- derivative free optimization --- multiscale models --- differential equations --- viral hepatitis

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Dilated cardiomyopathy (DCM) is a particular phenotype of non-ischemic systolic heart failure, frequently recognizing a genetic background and affecting relatively young patients with few comorbidities. Nowadays, long-term survival of DCM patients has been markedly improved due to an early diagnosis and uninterrupted and tailored follow-up under constant optimal medical and non-pharmacological evidence-based treatments. Nevertheless, DCM is still one of the most common causes of heart transplantation in the western world. Clinical management requires an integrated and systematic use of diagnostic tools and a deeper investigation of the basic mechanisms underlying the disease. However, several emerging issues remain debated. Specifically, the genotype–phenotype correlation, the role of advanced imaging techniques and genetic testing, the lack of appropriate risk stratification models, the need for a multiparametric and multidisciplinary approach for device implantation, and a continuous reclassification of the disease during follow-up remain challenging issues in clinical practice. Therefore, the aim of this Special Issue is to shed the light on the most recent advancements in characterization and clinical management of DCM in order to unveil the conundrum of this particular disease.

SCN5A --- cardiac sodium channel --- cardiac channelopathy --- dilated cardiomyopathy --- precision medicine --- arrhythmias --- atrial fibrillation --- cardiomyopathy --- heart failure --- supraventricular arrhythmia --- systolic dysfunction --- tachycardiomyopathy --- ventricular arrhythmia --- left atrial strain --- cardiac resynchronization therapy --- muscular dystrophy --- calcium --- heart --- gene therapy --- phospholamban --- Serca2a --- mdx --- oxidative stress --- membrane stabilization --- left ventricular noncompaction --- congenital heart disease --- congestive heart failure --- non-ischemic cardiomyopathy --- genetics --- desmin --- mitochondrial dysfunction --- myopathy --- whole exome sequencing --- laminopathy --- LMNA --- biomarkers --- troponin T --- NT-proBNP --- malignant ventricular arrhythmia --- arrhythmic risk stratification --- DNA methylation --- alternative splicing --- epigenetics --- nonischemic dilated cardiomyopathy --- cardiac magnetic resonance imaging --- late gadolinium enhancement --- long axis strain --- left ventricle sphericity index --- major adverse cardiovascular events --- sex differences --- left ventricular reverse remodelling --- long-term outcomes --- left ventricle non-compaction cardiomyopathy --- cardiac magnetic resonance --- titin --- RNA binding motif protein 20 (RBM20) --- sarcomere --- diastolic dysfunction --- phosphorylation --- non-sense mRNA decay --- mammalian target of rapamycin (mTOR) complex-1 --- duchenne muscular distrophy --- n/a