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Clinical and Imaging Features of Primary Cardiac Angiosarcoma

Authors :
Yan Chen
Yu Li
Nan Zhang
Jianfeng Shang
Xiaodan Li
Jiayi Liu
Lei Xu
Dongting Liu
Zhonghua Sun
Zhaoying Wen
Source :
Diagnostics, Vol 10, Iss 10, p 776 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 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.

Details

Language :
English
ISSN :
10100776 and 20754418
Volume :
10
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.0c8381c3d3374785815cd60d343907f0
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics10100776