Guo Lu, Wang Gang, Feng Yuanming, Yu Tonggang, Guo Yu, Bai Xu, Ye Zhaoxiang
Department of Biomedical Engineering, Tianjin University, Tianjin, 300072, China.
Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China.
Radiat Oncol. 2016 Sep 21;11(1):123. doi: 10.1186/s13014-016-0702-y.
Accurate target volume delineation is crucial for the radiotherapy of tumors. Diffusion and perfusion magnetic resonance imaging (MRI) can provide functional information about brain tumors, and they are able to detect tumor volume and physiological changes beyond the lesions shown on conventional MRI. This review examines recent studies that utilized diffusion and perfusion MRI for tumor volume definition in radiotherapy of brain tumors, and it presents the opportunities and challenges in the integration of multimodal functional MRI into clinical practice. The results indicate that specialized and robust post-processing algorithms and tools are needed for the precise alignment of targets on the images, and comprehensive validations with more clinical data are important for the improvement of the correlation between histopathologic results and MRI parameter images.
准确的靶区勾画对于肿瘤放疗至关重要。扩散加权和灌注磁共振成像（MRI）能够提供有关脑肿瘤的功能信息，并且能够检测出常规MRI上显示的病变之外的肿瘤体积及生理变化。本文综述了近期利用扩散加权和灌注MRI进行脑肿瘤放疗中肿瘤体积界定的研究，并阐述了将多模态功能MRI整合到临床实践中的机遇与挑战。结果表明，需要专门且强大的后处理算法和工具来精确对齐图像上的靶区，并且采用更多临床数据进行全面验证对于提高组织病理学结果与MRI参数图像之间的相关性很重要。
