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血管畸形的磁共振成像

Magnetic Resonance (MR) Imaging of Vascular Malformations.

作者信息

Bashir Usman, Shah Samd, Jeph Sunil, O'Keeffe Michael, Khosa Faisal

机构信息

Division of Imaging Research and Biomedical, Engineering, St. Thomas' Hospital, London, ON, Canada.

Department of Diagnostic Radiology, Geisinger Medical Center, Danville, PA, U.S.A.

出版信息

Pol J Radiol. 2017 Dec 15;82:731-741. doi: 10.12659/PJR.903491. eCollection 2017.

DOI:10.12659/PJR.903491
PMID:29657639
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5894044/
Abstract

Vascular malformations pose a diagnostic and therapeutic challenge due to the broad differential diagnosis as well as common utilization of inadequate or inaccurate classification systems among healthcare providers. Therapeutic approaches to these lesions vary based on the type, size, and extent of the vascular anomaly, necessitating accurate diagnosis and classification. Magnetic resonance (MR) imaging (MRI) is an effective modality for classifying vascular anomalies due to its ability to delineate the extent and anatomic relationship of the malformation to adjacent structures. In addition to anatomical mapping, the complete evaluation of vascular anomalies includes hemodynamic characterization. Dynamic time-resolved contrast-enhanced MR angiography provides information regarding hemodynamics of vascular anomalies, differentiating high- and low-flow vascular malformations. Radiologists must identify the MRI features of vascular malformations for better diagnosis and classification.

摘要

血管畸形因其广泛的鉴别诊断以及医疗服务提供者中普遍使用不充分或不准确的分类系统而带来诊断和治疗挑战。针对这些病变的治疗方法因血管异常的类型、大小和范围而异,因此需要准确的诊断和分类。磁共振(MR)成像(MRI)因其能够描绘畸形与相邻结构的范围和解剖关系,是一种对血管异常进行分类的有效方式。除了解剖定位外,对血管异常的全面评估还包括血流动力学特征描述。动态时间分辨对比增强磁共振血管造影可提供有关血管异常血流动力学的信息,区分高流量和低流量血管畸形。放射科医生必须识别血管畸形的MRI特征,以便更好地进行诊断和分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/3f9a6dffa110/PJR-82-903491-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/c4e43f2d8b66/PJR-82-903491-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/c8d32604e018/PJR-82-903491-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/fb4d7bddbe13/PJR-82-903491-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/3f9a6dffa110/PJR-82-903491-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/c4e43f2d8b66/PJR-82-903491-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/cd3187131443/PJR-82-903491-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/9a919507376f/PJR-82-903491-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/ad7d3490078c/PJR-82-903491-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/e577ccc74cec/PJR-82-903491-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/c8d32604e018/PJR-82-903491-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca5b/5894044/fb4d7bddbe13/PJR-82-903491-g008.jpg
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