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Clinical and Imaging Features of Primary Cardiac Angiosarcoma.

Authors :
Chen, Yan
Li, Yu
Zhang, Nan
Shang, Jianfeng
Li, Xiaodan
Liu, Jiayi
Xu, Lei
Liu, Dongting
Sun, Zhonghua
Wen, Zhaoying
Source :
Diagnostics (2075-4418). Oct2020, Vol. 10 Issue 10, p776-776. 1p.
Publication Year :
2020

Abstract

This study aims to explore computed tomography (CT) and magnetic resonance imaging (MRI) features of patients diagnosed with primary cardiac angiosarcoma. The study involved the analysis of 12 patients diagnosed with primary cardiac angiosarcoma who underwent non-contrast (8/12) or contrast-enhanced CT (10/12) or MRI (4/12). Imaging appearances, including the tumor location and adjacent infiltration, were analyzed. All 12 lesions were located in the right atrium with a broad base. Adjacent invasion including the tricuspid valve and right ventricle (2/12), inferior or superior vena cava (2/12), pericardium (10/12), and right coronary artery (7/12) was common. On unenhanced CT scans, tumors in two patients were homogeneous in density, whereas the others were inhomogeneous. Ten patients showed heterogeneous enhancement. The enhancement pattern showed no direct correlation with the differentiation degree of the tumor. Four lesions manifested as heterogeneous intensity, with hyperintense hemorrhage foci on both T1- and T2-weighted MRI. Three showed rim enhancement and one showed patchy enhancement. Primary cardiac angiosarcoma often involves the right side of the heart with infiltration of peripheral structures. CT features include typical inhomogeneous density on unenhanced scans and heterogeneous centripetal enhancement on enhanced scans. A cauliflower-like appearance on both T1- and T2-weighted MRI is common. The characteristic enhancement pattern of MRI remains to be determined. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20754418
Volume :
10
Issue :
10
Database :
Academic Search Index
Journal :
Diagnostics (2075-4418)
Publication Type :
Academic Journal
Accession number :
146660745
Full Text :
https://doi.org/10.3390/diagnostics10100776