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"Contents :What is echocardiography? -- Views of the heart -- Optimising the picture -- The left ventricle -- Diastolic function and dyssynchrony -- The right ventricle -- The atria -- Myocardial infarction -- The cardiomyopathies -- Right ventricular pathologies -- Principles of valve disease -- Assessing the aortic valve -- The mitral valve -- The right heart valves -- Infective endocarditis -- Prosthetic valves -- Pericardial disease -- Cardiac masses -- The aorta -- Congenital septal abnormalities -- 3D echocardiography -- The comprehensive examination -- The focused examination -- Reporting an echo study."

""The Washington Manual of Echocardiography contains essential and relevant information for trainees. It has been prepared by cardiology fellows, with the trainees' perspective in mind, and supervised and edited by faculty from the Washington University School of Medicine. The Washington Manual of Echocardiography provides quick insight into the interpretation of echocardiographic images, understanding the basic echocardiographic and Doppler physiology, and assisting with the technical aspects of transducing an echocardiographic exam. The Washington Manual of Echocardiogrpahy is geared toward cardiology fellows, emergency department physicians, and internal medicine residents interested in cardiology. This book is comprehensive enough to carry trainees through the echo rotation as well as concise and accessible at 3 a.m., when trainees are trying to appropriately diagnose important pathologies. It provides easily digestible knowledge and pearls from experienced echocardiologists and sonographers. Features Include: Easy-to-navigate sections on valvular heart disease, cardiomyopathies, congenital anomalies and trans-esophageal echocardiography, Image-heavy pocket book to enhance visual learning, Early emphasis on pearls and techniques on how to transduce an exam and get the optimal images. Succinct yet comprehensive information on key areas of echocardiography and Doppler techniques"--Provided by publisher."

"This book is a true asset for any physician, resident, nurse, or other healthcare professional looking to master perioperative transesophageal echocardiography. Spanning 2- and 3-D imagining, as well as Doppler modalities for assessing ventricular performance and valvular disease, this book guides you through the physics, principles, and applications of each technique."

"Written by fellows who have taken and passed the Board examination in echocardiography, Questions, Tricks, and Tips for the Echocardiography Boards offers the hands-on advice readers need to build confidence and maximize scores.Written in a logical progression, this review takes the reader from the physics of echo, to how to perform an exam, to specific cardiac diseases and pathologies. Each question in this guide is compiled in a way to allow readers to structure their review by topic based on their own strengths and weaknesses. Over 690 questions and answers provide abundant opportunities for self-paced review. Questions based on the most recent board examination ensure current content. Handy tips and tricks save time, reduce anxiety, and optimize exam performance"

"Echocardiography in Heart Failure - a volume in the exciting new Practical Echocardiography Series edited by Dr. Catherine M. Otto - provides practical, how-to guidance on effectively applying echocardiography to evaluate heart failure, make therapeutic decisions, and monitor therapy. Definitive, expert instruction from Drs. Martin St. John Sutton and Denise Wiegers is presented in a highly visual, case-based approach that facilitates understanding and equips you to accurately apply this technique while avoiding any potential pitfalls. Access the full text online at www.expertconsult.com al."

"This book is a practical guide to the use of TEE (transoesophageal echocardiography) in the diagnosis of congenital heart disease (CHD). Beginning with an introduction to TEE for CHD, the following chapters describe procedures to be used for different cardiac conditions. 3D TEE allowing multi-dimensional perspectives is also covered."

"Penyakit kardiovaskular merupakan penyakit dengan angka kematian tertinggi di dunia. Fungsi jantung perlu diperiksa secara akurat dan efisien agar penyakit kardiovaskular dapat terdeteksi dengan baik. Penilaian fungsi jantung umumnya dilakukan dengan memberi tanda ventrikel kiri secara manual. Hal tersebut memiliki kekurangan karena dapat memakan waktu, rawan kesalahan karena resolusi citra yang rendah, dan memiliki perbedaan hasil yang bervariasi antar pemeriksa. Oleh karena itu, penandaan ventrikel kiri secara otomatis dengan segmentasi sangat penting agar pemeriksaan fungsi jantung dapat dilakukan lebih efektif dan efisien. Dalam penelitian ini, dilakukan pengembangan model deep learning untuk pekerjaan segmentasi ventrikel kiri pada citra ekokardiografi menggunakan encoder yang dimiliki U-Net, ditambahkan dengan modul Atrous Spatial Pyramid Pooling dan decoder yang dimiliki DeeplabV3+. Selanjutnya, ditambahkan Coordinate Attention pada tahap akhir dalam encoder untuk penyempurnaan fitur. Dilakukan uji pada dataset Echonet-Dynamic, Hasil penelitian menunjukkan bahwa melakukan penggabungan antara encoder yang dimiliki U-Net dan decoder yang dimiliki DeeplabV3+ mampu memberikan peningkatan performa dibandingkan model U-Net dan DeeplabV3+, juga memberikan hasil yang lebih baik dibandingkan penelitian sebelumnya, dengan menghasilkan nilai dice similiarity coefficient sebesar 92.91%.

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Cardiovascular disease is a disease with the highest mortality rate in the world. Heart function needs to be checked accurately and efficiently so that cardiovascular disease can be detected properly. Assessment of cardiac function is generally done by marking the left ventricle manually. This has the drawbacks of being time-consuming, error-prone due to low image resolution, and have inter-observer variability. So that automatic marking of the left ventricle with segmentation is very important so that the examination of cardiac function can be carried out more effectively and efficiently. In this study, a deep learning model was developed for left ventricle segmentation on echocardiographic images using an encoder in U-Net, added with the Atrous Spatial Pyramid Pooling module and an decoder in DeeplabV3+. Furthermore, the Coordinate Attention Module was added at the final stage in the encoder for feature enhancements. Tests were carried out using the Echonet-Dynamic dataset. The results showed that combining the encoder in U-Net and the decoder in DeeplabV3+ was able to provide increased performance compared to the U-Net and DeeplabV3+ models, also gives better results than previous research, by producing a dice similarity coefficient of 92.91%."

"Tools to diagnose cardiac conditions in children -- Environmental and genetic conditions associated with heart disease in children -- Classification and physiology of congenital heart disease in children -- Anomalies with a left-to-right shunt in children -- Conditions obstructing blood flow in children -- Congenital heart disease with a right-to-left shunt in children -- Unusual forms of congenital heart disease in children -- Unique cardiac conditions in newborn infants -- The cardiac conditions acquired during childhood -- Abnormalities of heart rate and conduction in children -- Congestive heart failure in infants and children -- A healthy life style and preventing heart disease in children."

"Latar belakang: Penyakit jantung koroner (PJK) masih menjadi masalah di Indonesia bahkan di dunia. Berdasarkan patofisiologinya, PJK dibagi menjadi sindrom koroner akut (SKA) dan kronik (SKK). Salah satu tatalaksana PJK adalah revaskularisasi otot jantung. Namun sangat penting untuk mengetahui viabilitas miokardium untuk kepentingan pengembalian fungsi kontraktilitas miokardium. Saat ini, magnetic resonance imaging (MRI) jantung adalah baku emas yang digunakan untuk mengevaluasi viabilitas miokardium. Namun ketersediaan modalitas ini sangat terbatas. Dobutamine stress echocardiography (DSE) juga dapat mengevaluasi viabilitas miokardium dan memiliki ketersediaan yang lebih luas di Indonesia. Tujuan: Meta analisis ini bertujuan membandingkan sensitivitas dan spesifisitas DSE terhadap MRI kardiak pada pasien dengan SKK. Metode: Meta analisis ini mencari literatur dari empat database yaitu Pubmed, Embase, Cochrane dan Scopus. Meta analisis ini mengacu pada Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2020 dan Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy. Forest plot menampilkan sensitivitas dan spesifisitas DSE dan MRI kardiak. Hasil: Terdapat tiga belas studi yang diinklusi. Dari penyusunan forest plot didapatkan DSE memiliki sensitivitas 75% (CI 0,61 – 0,86) dan spesifisitas 87% (CI 0,82 –0,91), dimana MRI kardiak memiliki sensitivitas 93% (CI 0,88 – 0,96) dan spesifisitas 77% (CI 0,61 – 0,87). Walaupun demikian, perlu diperhatikan beberapa faktor yang dapat menyebabkan overestimation pada sensitivitas dan spesifisitas DSE dan underestimation pada sensitivitas dan spesifisitas MRI kardiak. Kesimpulan: DSE memiliki sensitivitas yang lebih rendah dan spesifistas yang lebih tinggi dibandingkan MRI kardiak. Dengan mempertimbangkan overestimation dan underestimation kedua modalitas tersebut, MRI kardiak memiliki akurasi yang lebih baik dibandingkan DSE. Kata kunci: Sindrom koroner kronik, viabilitas miokardium, dobutamine stress echocardiography, magnetic resonance imaging kardiak.

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Background: Coronary heart disease (CHD) still becomes a health problem in Indonesia, even in the world. Based on its pathophysiology, CHD is classified to acute coronary syndrome (ACS) and chronic coronary syndrome (CCS). One of the treatment of CHD is myocardial revascularization, however it’s important to know the myocardial viability in prior in order to reverse the contractility function of the myocardium. Nowadays, cardiac magnetic resonance imaging (MRI) is the gold standard for evaluating myocardial viability. Nevertheless, the availibility of MRI is limited. Dobutamine stress echocardiography (DSE) is also able to evaluate myocardial viaiblity and widely available across Indonesia. Purpose: This meta analysis compares the sensitivity and specificity of DSE and cardiac MRI in patients with CCS. Method: This meta analysis searches literatures from four database: Pubmed, Embase, Cochrane and Scopus. We used Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2020 dan Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy as references. Forest plot is constructed to show the sensitivity and specificity of DSE and cardiac MRI. Result: Thirteen studies were included. The Forest plot shows that DSE has sensitivity of 75% (CI 0,61 – 0,86) and specificity of 87% (CI 0,82 – 0,91), while cardiac MRI has sensitivity of 93% (CI 0,88 –0,96) and specificity of 77% (CI 0,61 – 0,87). Conclusion: DSE has lower sensitivity yet higher specificity than cardiac MRI. Considering the overestimation and underestimation of these modalities, cardiac MRI has higher diagnostic accuracy than DSE."