Bazot Marc, Daraï Emile, Nassar-Slaba Jinane, Lafont Clarisse, Thomassin-Naggara Isabelle
Department of Radiology, Hôpital Tenon, Paris, France.
J Comput Assist Tomogr. 2008 Sep-Oct;32(5):712-23. doi: 10.1097/RCT.0b013e31815881ef.
This article reviews the value of magnetic resonance imaging (MRI) for the diagnosis of ovarian tumors especially when ultrasonography is indeterminate. Although ultrasonography is the first imaging technique used to investigate suspected pelvic masses, it has a limited capacity for tissue characterization. In addition to morphological characteristics, many tissue parameters such as T1, T2, perfusion, and diffusion contribute to signal intensity, so MRI is able to identify various types of tissue contained in pelvic masses. Magnetic resonance imaging helps to locate large solid masses and to distinguish benign from malignant ovarian tumors, with an overall accuracy of 88% to 93% for the diagnosis of malignancy. The aims of this review are 3-fold. First, we review state-of-the-art and usual MRI techniques and published findings. Second, we recall the MR features most useful for assessing the main ovarian tumors. Finally, we discuss the relevance of various features for distinguishing between benign, borderline, and invasive ovarian tumors.
本文综述了磁共振成像（MRI）在卵巢肿瘤诊断中的价值，尤其是在超声检查结果不明确时。虽然超声检查是用于检查可疑盆腔肿块的首选成像技术，但其对组织特征的鉴别能力有限。除形态特征外，许多组织参数如T1、T2、灌注和扩散等都会影响信号强度，因此MRI能够识别盆腔肿块中包含的各种类型的组织。磁共振成像有助于定位大型实性肿块，并区分卵巢良性肿瘤和恶性肿瘤，对恶性肿瘤诊断的总体准确率为88%至93%。本综述的目的有三个方面。第一，我们回顾了最新的和常用的MRI技术以及已发表的研究结果。第二，我们回顾了对评估主要卵巢肿瘤最有用的MR特征。最后，我们讨论了各种特征在区分卵巢良性、交界性和浸润性肿瘤方面的相关性。
