Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA.
J Magn Reson Imaging. 2013 Feb;37(2):265-81. doi: 10.1002/jmri.23721.
MRI provides exquisite views of the pelvic anatomy through its high spatial resolution and tissue contrast, and as such plays a key role in the work up of ovarian lesions, identifying features that distinguish benign and malignant lesions. In the case of primary tumors it enables local staging and detection of metastatic disease to help guide management options such as complex surgery or the consideration of neoadjuvant chemotherapy. Functional MRI techniques such as diffusion-weighted MRI (DW-MRI), dynamic contrast-enhanced MRI (DCE-MRI) and tumor-selective molecular imaging are currently being evaluated as possible predictive and prognostic biomarkers in the context of ovarian malignancy, and may play a larger role in routine clinical practice in the future. Herein we provide an overview of the conventional and advanced MRI techniques used to characterize ovarian masses and of the role that MR plays in the staging, treatment selection and follow up of patients with ovarian cancer.
MRI 通过其高空间分辨率和组织对比提供了对盆腔解剖结构的精细观察，因此在卵巢病变的评估中发挥着关键作用，可以识别出良性和恶性病变的特征。对于原发性肿瘤，它可以进行局部分期和转移病灶的检测，以帮助指导管理方案，如复杂手术或新辅助化疗的考虑。功能 MRI 技术，如扩散加权 MRI（DW-MRI）、动态对比增强 MRI（DCE-MRI）和肿瘤选择性分子成像，目前正在作为卵巢恶性肿瘤的潜在预测和预后生物标志物进行评估，并且将来可能在常规临床实践中发挥更大的作用。本文综述了用于描述卵巢肿块的常规和先进 MRI 技术，以及 MRI 在卵巢癌患者的分期、治疗选择和随访中的作用。
