scholarly journals Left Ventricular Biopsy in the Diagnosis of Myocardial Diseases

Circulation ◽  
2018 ◽  
Vol 137 (10) ◽  
pp. 993-995 ◽  
Author(s):  
Norbert Frey ◽  
Benjamin Meder ◽  
Hugo A. Katus
2022 ◽  
Vol 9 (1) ◽  
pp. 24
Author(s):  
Mara Pilati ◽  
Micol Rebonato ◽  
Roberto Formigari ◽  
Gianfranco Butera

Endomyocardial biopsy (EMB) is a well-known diagnostic tool for the investigation and treatment of myocardial diseases and remains the gold standard for the diagnosis of myocarditis. Due to its invasiveness, with a complication rate ranging from 1 to 15%, its role in the diagnostic work-up of pediatric heart failure is not well established. The aim of this review is to define the role of EMB as diagnostic technique in the work up of children presenting with severe left ventricular dysfunction with the support of our center experience.


Author(s):  
Yashbir Singh ◽  
Deepa Shakyawar ◽  
Weichih Hu

Scar tissues have been important factors in determining the progression of myocardial diseases and the development of adverse cardiac failure outcomes. Accurate segmentation of the scar tissues can be helpful to the clinicians for risk prediction and better evaluation of cardiovascular diseases. Our goal is to apply topology data analysis toward machine learning algorithms to confirm the geometry of scar tissue, in addition to gaining better visualization and quantification of the scar tissue present. We have introduced architecture for integrating geometry in the form of topology toward machine learning. Morphological image processing was carried out to define the regions of the endocardial wall. We implemented convolutional neural networks on delayed enhancement cardiac computed tomography images for the recognition of scar tissue. Segmented two-dimensional images were stacked up to build the geometry of the scar area for visualization purposes. Mathematical calculations were executed for the validation of the scar tissue in addition to performing morphological image processing and marking the scar tissue present on the endocardial wall of the left ventricular. We applied convolutional neural network over convolution and pooling the layers with small sizes; we achieved 89.23% accuracy, 91.11% sensitivity, and 87.75% specificity, and found the dissimilarity distance between the normal endocardial tissue distances to be 9.37. This new concept in this study contributes toward a better understanding of scar structure and transmural variation of the endocardial wall of the left ventricular.


2017 ◽  
Vol 228 ◽  
pp. 375-379 ◽  
Author(s):  
Hiroyuki Takaoka ◽  
Nobusada Funabashi ◽  
Masae Uehara ◽  
Yasunori Iida ◽  
Yoshio Kobayashi

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
H Vago ◽  
L Szabo ◽  
D Balla ◽  
Z.S Dohy ◽  
C.S Czimbalmos ◽  
...  

Abstract Introduction Sudden cardiac death (SCD) is the leading cause of death in athletes occurring usually during intensive training. Cardiac magnetic resonance (CMR) is a reliable technique to assess ventricular volumes and function. Furthermore, it provides tissue-specific information and has a crucial role in detecting structural myocardial diseases. Aim We aimed to investigate the prevalence of myocardial structural heart diseases and the etiology of sudden cardiac death in highly trained athletes and their outcome during follow-up. Method We examined athletes (training ≥6 hours/week) who underwent CMR due to suspected structural myocardial disease at Semmelweis University Heart and Vascular Center between 2009 and 2019. Cine movie images and late gadolinium enhanced (LGE) images were performed. Athletes with structural myocardial alterations were followed for the endpoint of all-cause-mortality. Results CMR was performed on a total of 338 athletes (280 male, 24±11 age). The indications for CMR were as follows: aborted sudden cardiac death/sustained ventricular tachycardia (SVT) (4%), ECG alterations (36%), echocardiographic alterations (32%), positive family history of SCD or cardiomyopathies (CMP) (3%), and patients' complaints, e.g. palpitation, syncope, dyspnoea, chest complaints (25%). CMR confirmed structural myocardial disease in 82 athletes with the following distribution: 20 hypertrophic (HCM), 10 arrhythmogenic (AC), 8 dilated (DCM), and 7 non-compact (NCCMP) CMP. The CMR images of three patients indicated Fabry disease. We found post-myocardial infarction scars in 7 cases, and atypical non-ischemic scars in 28 athletes. Besides pathological conditions, we identified minor alterations in 58 patients (51 male, 25±12 age) such as: increased trabeculation, nonspecific LGE in left ventricular insertion point and myocardial crypts. Among athletes examined after aborted sudden cardiac death or SVT we found structural heart disease in 11 males and one female: AC (n=7), HCM (n=1), NCCMP (n=1) and atypical non-ischemic scars (n=3, in two patients the localisation was lateral subepicardial) were diagnosed. During the median follow up of five years one patient died in whom CMR showed lateral scar formation and only mildly reduced left ventricular ejection fraction (50%). Conclusions The most common structural alteration was non-ischaemic scar, the most common CMP was HCM, and the leading cause of sudden cardiac death or SVT in our competitive athletes was AC and lateral subepicardial scar formation. LGE pattern in various cardiomyopathies Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): Project no. NVKP_16-1-2016-0017 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the NVKP_16 funding scheme. This project was supported by a grant from the National Research, Development and Innovation Office (NKFIH) of Hungary (K 120277).


2019 ◽  
Vol 20 (3) ◽  
pp. 333
Author(s):  
Sung Min Ko ◽  
Tae Hoon Kim ◽  
Eun Ju Chun ◽  
Jin Young Kim ◽  
Sung Ho Hwang

2011 ◽  
Vol 58 (2) ◽  
pp. 39-43 ◽  
Author(s):  
Zeljko Bradic ◽  
Branislava Ivanovic ◽  
Dejan Markovic ◽  
Dusica Simic ◽  
Radmilo Jankovic ◽  
...  

Cardiomyopathies are myocardial diseases in which there is structural and functional disorder of the heart muscle, in the absence of coronary artery disease, hypertension, valvular disease and congenital heart disease. Cardiomyopathies are grouped into specific morphological and functional phenotypes: dilated cardiomyopathy, hypertrophic cardiomyopathy, restrictive cardiomyopathy, arrhythmogenic right ventricular cardiomyopathy and unclassified cardiomyopathies. Patients with dilated and hypertrophic cardiomypathy are prone to the development of congestive heart failure in the perioperative period. Also, patients with hypertrophic and arrhythmogenic right ventricular cardiomyopathy are prone to arrhythmias in the perioperative period. Preoperative evaluation includes history, physical examination, ECG, chest radiography, complete blood count, electrolytes, creatinine, glomerular filtration rate, glucose, liver enzymes, urin analysis, BNP and echocardiographic evaluation of left ventricular function. Drug therapy should be optimized and continued preoperatively. Surgery should be delayed (unless urgent) in patients with decompensated or untreated cardiomyopathy. Preoperative evaluation requires integrated multidisciplinary approach of anesthesiologists, cardiologist and surgeons.


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