Zampini Marco Andrea, Buizza Giulia, Paganelli Chiara, Fontana Giulia, D'Ippolito Emma, Valvo Francesca, Preda Lorenzo, Baroni Guido
Politecnico di Milano, CartCasLab, Department of Electronics Information and Bioengineering, Piazza Leonardo Da Vinci 42, Milan, Italy; MR Solutions Ltd., Ashbourne House, Old Portsmouth Rd., Guildford, United Kingdom.
Politecnico di Milano, CartCasLab, Department of Electronics Information and Bioengineering, Piazza Leonardo Da Vinci 42, Milan, Italy.
Magn Reson Imaging. 2020 Apr;67:69-78. doi: 10.1016/j.mri.2019.12.003. Epub 2019 Dec 28.
Multiparametric MRI is a remarkable imaging method for the assessment of patho-physiological processes. In particular, brain tumor characterization has taken advantage of the development of advanced techniques such as Diffusion- (DWI) and Perfusion- (PWI) Weighted Imaging, but a thorough analysis of meningiomas is still lacking despite the variety of computational methods proposed. We compute perfusion and diffusion parametric maps relying on a well-defined methodological workflow, investigating possible correlations between pure and diffusion-based perfusion parameters in a cohort of 26 patients before proton therapy. A preliminary investigation of meningioma staging biomarkers based on IntraVoxel Incoherent Motion and Dynamic Susceptibility Contrast is also reported. We observed significant differences between the gross target volume and the normal appearing white matter for every investigated parameter, confirming the higher vascularization of the neoplastic tissue. DWI and PWI parameters appeared to be weakly correlated and we found that diffusion parameters - the perfusion fraction in particular - could be promising biomarkers for tumor staging.
多参数磁共振成像(MRI)是一种用于评估病理生理过程的卓越成像方法。特别是,脑肿瘤的特征描述利用了诸如扩散加权成像(DWI)和灌注加权成像(PWI)等先进技术的发展,但尽管提出了各种计算方法,对脑膜瘤的全面分析仍然缺乏。我们依靠明确的方法流程计算灌注和扩散参数图,在26例质子治疗前的患者队列中研究纯灌注参数和基于扩散的灌注参数之间的可能相关性。还报告了基于体素内不相干运动和动态磁敏感对比的脑膜瘤分期生物标志物的初步研究。我们观察到每个研究参数在大体靶体积和正常白质之间存在显著差异,证实了肿瘤组织的血管化程度更高。DWI和PWI参数似乎相关性较弱,并且我们发现扩散参数——尤其是灌注分数——可能是有前景的肿瘤分期生物标志物。