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肌肉骨骼肿瘤的最新进展:从定量成像到放射组学。

An update in musculoskeletal tumors: from quantitative imaging to radiomics.

作者信息

Chianca Vito, Albano Domenico, Messina Carmelo, Vincenzo Gabriele, Rizzo Stefania, Del Grande Filippo, Sconfienza Luca Maria

机构信息

Clinica di Radiologia EOC IIMSI, Lugano, Switzerland.

Ospedale Evangelico Betania, Napoli, Italy.

出版信息

Radiol Med. 2021 Aug;126(8):1095-1105. doi: 10.1007/s11547-021-01368-2. Epub 2021 May 19.

DOI:10.1007/s11547-021-01368-2
PMID:34009541
Abstract

In the last two decades, relevant progress has been made in the diagnosis of musculoskeletal tumors due to the development of new imaging tools, such as diffusion-weighted imaging, diffusion kurtosis imaging, magnetic resonance spectroscopy, and diffusion tensor imaging. Another important role has been played by the development of artificial intelligence software based on complex algorithms, which employ computing power in the detection of specific tumor types. The aim of this article is to report the most advanced imaging techniques focusing on their advantages in clinical practice.

摘要

在过去二十年中,由于扩散加权成像、扩散峰度成像、磁共振波谱和扩散张量成像等新成像工具的发展,肌肉骨骼肿瘤的诊断取得了相关进展。基于复杂算法的人工智能软件的发展也发挥了另一个重要作用,该软件利用计算能力来检测特定的肿瘤类型。本文的目的是报告最先进的成像技术,并着重介绍它们在临床实践中的优势。

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Eur J Radiol. 2021 Apr;137:109586. doi: 10.1016/j.ejrad.2021.109586. Epub 2021 Feb 10.
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MRI radiomics-based machine-learning classification of bone chondrosarcoma.基于 MRI 影像组学的骨软骨肉瘤机器学习分类。
Eur J Radiol. 2020 Jul;128:109043. doi: 10.1016/j.ejrad.2020.109043. Epub 2020 May 7.
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Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI.
肿瘤患者的体部 CT 检查:亚专科放射学对临床实践中辐射暴露的影响。一项质量关怀研究。
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