Bickelhaupt S, Dreher C, König F, Deike-Hofmann K, Paech D, Schlemmer H P, Kuder T A
Medical Imaging and Radiology - Cancer Prevention, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.
Division of Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.
Radiologe. 2019 Jun;59(6):517-522. doi: 10.1007/s00117-019-0532-7.
Medical research in the field of oncologic imaging diagnostics using magnetic resonance imaging increasingly includes diffusion-weighted imaging (DWI) sequences. The DWI sequences allow insights into different microstructural diffusion properties of water molecules in tissues depending on the sequence modification used and enable visual and quantitative analysis of the acquired imaging data. In DWI, the application of intravenous gadolinium-containing contrast agents is unnecessary and only the mobility of naturally occurring water molecules in tissues is quantified. These characteristics predispose DWI as a potential candidate for emerging as an independent diagnostic tool in selected cases and specific points in question. Current clinical diagnostic studies and the ongoing technical developments, including the increasing influence of artificial intelligence in radiology, support the growing importance of DWI. Especially with respect to selective approaches for early detection of malignancies, DWI could make an essential contribution as an eligible diagnostic tool; however, prior to discussing a broader clinical implementation, challenges regarding reliable data quality, standardization and quality assurance must be overcome.
在肿瘤成像诊断领域,利用磁共振成像的医学研究越来越多地纳入扩散加权成像(DWI)序列。DWI序列能够根据所使用的序列修改方式,深入了解组织中水分子不同的微观结构扩散特性,并能对采集到的成像数据进行视觉和定量分析。在DWI中,无需静脉注射含钆造影剂,仅对组织中天然存在的水分子的移动性进行量化。这些特性使DWI有潜力在某些特定病例和问题点成为一种独立的诊断工具。当前的临床诊断研究以及正在进行的技术发展,包括人工智能在放射学中日益增加的影响,都支持了DWI日益增长的重要性。特别是在恶性肿瘤早期检测的选择性方法方面,DWI作为一种合适的诊断工具可以做出重要贡献;然而,在讨论更广泛的临床应用之前,必须克服有关可靠数据质量、标准化和质量保证方面的挑战。