Background: Coronary cameral fistulas (CCF) are an uncommon clinical entity; encountered occasionally during cardiac catheterization. These fistulas most commonly result from congenital abnormalities leading to neovascularization. Other possible etiologies include trauma during surgery or coronary intervention. These fistulas usually terminate directly in a cardiac chamber, most often in the right ventricle.

Case Presentation: We describe two cases of CCF where a previous coronary angiogram did not show the presence of the abnormality. Cardiac catheterization in our first patient revealed the presence of a fistula from the right coronary artery draining into the right ventricle. A coronary angiogram performed three years prior to this procedure revealed no obstructive coronary artery disease and no evidence of this fistula. In contrast our second case had an aortic valve replacement for severe aortic stenosis. A cardiac catheterization prior to the surgery revealed normal coronaries with no fistula. The patient's subsequent angiogram three years later revealed the acute marginal branch of the right coronary artery draining into the right atrium.

Conclusion: Coronary cameral fistula is a rare clinical entity and can be acquired during an individual's lifetime. The puzzling presentation in our first patient is unique because CCF was acquired despite lack of previous instrumentation or trauma to the right coronary artery. The exact mechanism of fistula formation is unknown. However a possible hypothesis is secondary to hypoxia-induced angiogenesis, which has not been described to date.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijcard.2006.11.117DOI Listing

Publication Analysis

Top Keywords

coronary artery
16
coronary cameral
12
cardiac catheterization
12
coronary
9
clinical entity
8
coronary angiogram
8
artery draining
8
three years
8
fistula
5
acquired coronary
4

Similar Publications

Feasibility of on-site CT-FFR analysis on cardiac photon-counting CT in evaluation of hemodynamically significant stenosis in comparison to invasive catheter angiography.

Eur J Radiol

January 2025

Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany. Electronic address:

Objectives: Coronary CT angiography (CCTA) is an excellent tool in ruling out coronary artery disease (CAD) but tends to overestimate especially highly calcified plaques. To reduce diagnostic invasive catheter angiographies (ICA), current guidelines recommend CT-FFR to determine the hemodynamic significance of coronary artery stenosis. Photon-Counting Detector CT (PCCT) revolutionized CCTA and may improve CT-FFR analysis in guiding patients.

View Article and Find Full Text PDF

Aims: To identify differences in CT-derived perivascular (PVAT) and epicardial adipose tissue (EAT) characteristics that may indicate inflammatory status differences between post-treatment acute myocardial infarction (AMI) and stable coronary artery disease (CAD) patients.

Methods And Results: A cohort of 205 post-AMI patients (age 59.8±9.

View Article and Find Full Text PDF

This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!