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使用传统和先进的MRI技术对良性和恶性椎体压缩性骨折进行鉴别诊断。

Differential diagnosis of benign and malignant vertebral compression fractures using conventional and advanced MRI techniques.

作者信息

Romeo Valeria, Ugga Lorenzo, Stanzione Arnaldo, Cocozza Sirio, Cuocolo Renato, Brunetti Arturo

机构信息

Deparment of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini, Naples, Italy.

出版信息

BJR Open. 2019 May 12;1(1):20180033. doi: 10.1259/bjro.20180033. eCollection 2019.

DOI:10.1259/bjro.20180033
PMID:33178924
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7592442/
Abstract

Atraumatic vertebral compression fractures (VCFs) are commonly encountered in clinical practice and often represent a diagnostic challenge. MRI plays a major role in the differential diagnosis of benign and malignant VCFs, due to its high contrast resolution and the possibility to obtain quantitative and functional data with the employment of advanced sequences. Computer-aided diagnosis systems are also applied on MRI images for this purpose, showing promising results. In this setting, aim of this pictorial review is to elucidate the role of MRI in the differential diagnosis of VCFs with a specific focus on advanced and post-processing imaging techniques.

摘要

非创伤性椎体压缩骨折（VCF）在临床实践中很常见，且常常带来诊断挑战。由于MRI具有高对比度分辨率以及使用先进序列获取定量和功能数据的可能性，其在良性和恶性VCF的鉴别诊断中发挥着重要作用。计算机辅助诊断系统也为此应用于MRI图像，显示出有前景的结果。在此背景下，本图像综述的目的是阐明MRI在VCF鉴别诊断中的作用，特别关注先进和后处理成像技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/74fddbee2aee/bjro.20180033.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/4d720777f4e7/bjro.20180033.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/2f68ab1e974c/bjro.20180033.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/d20590ccae35/bjro.20180033.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/66ab0e19c597/bjro.20180033.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/1464c36017fd/bjro.20180033.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/e9b2df2c0479/bjro.20180033.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/f36abb63db2a/bjro.20180033.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/74fddbee2aee/bjro.20180033.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/4d720777f4e7/bjro.20180033.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/2f68ab1e974c/bjro.20180033.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/d20590ccae35/bjro.20180033.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/66ab0e19c597/bjro.20180033.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/1464c36017fd/bjro.20180033.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/e9b2df2c0479/bjro.20180033.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/f36abb63db2a/bjro.20180033.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f00/7592442/74fddbee2aee/bjro.20180033.g008.jpg

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