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利用扩散加权磁共振成像诊断心包囊肿:病例系列

Diagnosis of pericardial cysts using diffusion weighted magnetic resonance imaging: A case series.

作者信息

Raja Asam, Walker Jonathon R, Sud Maneesh, Du Joe, Zeglinski Matthew, Czarnecki Andrew, Mousavi Negareh, Jassal Davinder S, Kirkpatrick Iain Dc

机构信息

Department of Radiology, University of Manitoba, Winnipeg, Manitoba, Canada.

出版信息

J Med Case Rep. 2011 Sep 24;5:479. doi: 10.1186/1752-1947-5-479.

Abstract

INTRODUCTION

Congenital pericardial cysts are benign lesions that arise from the pericardium during embryonic development. The diagnosis is based on typical imaging features, but atypical locations and signal magnetic resonance imaging sequences make it difficult to exclude other lesions. Diffusion-weighted magnetic resonance imaging is a novel method that can be used to differentiate tissues based on their restriction to proton diffusion. Its use in differentiating pericardial cysts from other pericardial lesions has not yet been described.

CASE PRESENTATION

We present three cases (a 51-year-old Caucasian woman, a 66-year-old Caucasian woman and a 77-year-old Caucasian woman) with pericardial cysts evaluated with diffusion-weighted imaging using cardiac magnetic resonance imaging. Each lesion demonstrated a high apparent diffusion coefficient similar to that of free water.

CONCLUSION

This case series is the first attempt to investigate the utility of diffusion-weighted magnetic resonance imaging in the assessment of pericardial cysts. Diffusion-weighted imaging may be a useful noninvasive diagnostic tool for pericardial cysts when conventional imaging findings are inconclusive.

摘要

引言

先天性心包囊肿是胚胎发育过程中起源于心包的良性病变。诊断基于典型的影像学特征,但非典型的位置和磁共振成像序列使得排除其他病变变得困难。扩散加权磁共振成像是一种可用于根据组织对质子扩散的限制来区分组织的新方法。其在区分心包囊肿与其他心包病变中的应用尚未见报道。

病例报告

我们展示了三例(一名51岁的白种女性、一名66岁的白种女性和一名77岁的白种女性)心包囊肿患者,采用心脏磁共振成像的扩散加权成像进行评估。每个病变的表观扩散系数均较高,类似于自由水。

结论

本病例系列是首次尝试研究扩散加权磁共振成像在评估心包囊肿中的效用。当传统影像学检查结果不明确时,扩散加权成像可能是一种用于心包囊肿的有用的非侵入性诊断工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac25/3189152/e11aaf538c94/1752-1947-5-479-1.jpg

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