Tsolaki Evangelia, Kousi Evanthia, Svolos Patricia, Kapsalaki Efthychia, Theodorou Kyriaki, Kappas Constastine, Tsougos Ioannis
Evangelia Tsolaki, Evanthia Kousi, Patricia Svolos, Kyriaki Theodorou, Constastine Kappas, Ioannis Tsougos, Medical Physics Department, University of Thessaly, Biopolis, 41110 Larissa, Greece.
World J Radiol. 2014 Apr 28;6(4):72-81. doi: 10.4329/wjr.v6.i4.72.
In recent years, advanced magnetic resonance imaging (MRI) techniques, such as magnetic resonance spectroscopy, diffusion weighted imaging, diffusion tensor imaging and perfusion weighted imaging have been used in order to resolve demanding diagnostic problems such as brain tumor characterization and grading, as these techniques offer a more detailed and non-invasive evaluation of the area under study. In the last decade a great effort has been made to import and utilize intelligent systems in the so-called clinical decision support systems (CDSS) for automatic processing, classification, evaluation and representation of MRI data in order for advanced MRI techniques to become a part of the clinical routine, since the amount of data from the aforementioned techniques has gradually increased. Hence, the purpose of the current review article is two-fold. The first is to review and evaluate the progress that has been made towards the utilization of CDSS based on data from advanced MRI techniques. The second is to analyze and propose the future work that has to be done, based on the existing problems and challenges, especially taking into account the new imaging techniques and parameters that can be introduced into intelligent systems to significantly improve their diagnostic specificity and clinical application.
近年来，先进的磁共振成像（MRI）技术，如磁共振波谱、扩散加权成像、扩散张量成像和灌注加权成像，已被用于解决诸如脑肿瘤特征描述和分级等具有挑战性的诊断问题，因为这些技术能对研究区域进行更详细的非侵入性评估。在过去十年中，人们付出了巨大努力，在所谓的临床决策支持系统（CDSS）中引入并利用智能系统，以对MRI数据进行自动处理、分类、评估和呈现，从而使先进的MRI技术成为临床常规的一部分，因为上述技术产生的数据量已逐渐增加。因此，当前这篇综述文章的目的有两个。一是回顾和评估基于先进MRI技术数据在利用CDSS方面所取得的进展。二是根据现存问题和挑战分析并提出未来需要开展的工作，尤其要考虑到可引入智能系统以显著提高其诊断特异性和临床应用价值的新成像技术及参数。
