Departments of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, 695011 Kerala, India.
J Neuroradiol. 2011 Oct;38(4):199-206. doi: 10.1016/j.neurad.2011.07.002. Epub 2011 Sep 23.
Dynamic susceptibility contrast (DSC) perfusion imaging has been in clinical use for various indications, including characterization and grading of intracranial neoplasms. However, several technical factors can lead to pitfalls in image interpretation. This review discusses the extraction of T1 and T2* information from mean curve analysis of DSC perfusion imaging of various brain tumors, which provides further insights into tumor biology and, thus, may be useful in the differential diagnosis of such tumors. Indeed, by looking at the mean time-signal intensity curve from the tumor bed in addition to the rCBV maps, it is possible to obtain further inferences of capillary density and lesion leakiness. When dynamic contrast enhanced (DCE) T1 perfusion is not available, DSC perfusion with mean curve analysis appears to be a valid alternative for characterizing various brain neoplasms in a routine clinical setting.
动态对比增强磁共振灌注成像（DSC）已广泛应用于各种临床适应证，包括颅内肿瘤的定性和分级。然而，多种技术因素可能会导致图像解读出现陷阱。本文探讨了从各种脑肿瘤 DSC 灌注成像的平均曲线分析中提取 T1 和 T2*信息，这为肿瘤生物学提供了更深入的了解，从而可能有助于此类肿瘤的鉴别诊断。实际上，通过观察肿瘤床的平均时间-信号强度曲线以及 rCBV 图，还可以进一步推断毛细血管密度和病变通透性。在动态对比增强（DCE）T1 灌注不可用时，平均曲线分析的 DSC 灌注似乎是在常规临床环境下对各种脑肿瘤进行特征描述的有效替代方法。
