Deike-Hofmann K, Kuder T, König F, Paech D, Dreher C, Delorme S, Schlemmer H-P, Bickelhaupt S
Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Department of Medical Physics, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Radiologe. 2018 Nov;58(Suppl 1):14-19. doi: 10.1007/s00117-018-0423-3.
Magnetic resonance imaging (MRI) of the breast represents one of the most sensitive imaging modalities in breast cancer detection. Diffusion-weighted imaging (DWI) is a sequence variation introduced as a complementary MRI technique that relies on mapping the diffusion process of water molecules thereby providing additional information about the underlying tissue. Since water diffusion is more restricted in most malignant tumors than in benign ones owing to the higher cellularity of the rapidly proliferating neoplasia, DWI has the potential to contribute to the identification and characterization of suspicious breast lesions. Thus, DWI might increase the diagnostic accuracy of breast MRI and its clinical value. Future applications including optimized DWI sequences, technical developments in MR devices, and the application of radiomics/artificial intelligence algorithms may expand the potential of DWI in breast imaging beyond its current supplementary role.
乳腺磁共振成像(MRI)是乳腺癌检测中最敏感的成像方式之一。扩散加权成像(DWI)是作为一种补充性MRI技术引入的序列变体,它依赖于绘制水分子的扩散过程,从而提供有关潜在组织的额外信息。由于快速增殖的肿瘤细胞密度较高,大多数恶性肿瘤中的水扩散比良性肿瘤中更受限,因此DWI有可能有助于识别和表征可疑乳腺病变。因此,DWI可能会提高乳腺MRI的诊断准确性及其临床价值。未来的应用,包括优化的DWI序列、MR设备的技术发展以及放射组学/人工智能算法的应用,可能会将DWI在乳腺成像中的潜力扩展到超出其目前的辅助作用。