Diagnostic Accuracy of Diffusion-Weighted Imaging in Differentiating Benign From Malignant Ovarian Lesions
Diagnostic Accuracy of Diffusion-Weighted Imaging in Differentiating Benign From Malignant Ovarian Lesions
复制标题
DOI：
10.1002/jmri.21575
复制
发表时间：
2008-11-01
影响因子：
4.4
通讯作者：
Ogawa, Toshihide
中科院分区：
文献类型：
--
作者：
Fujii, Shinya;Kakite, Suguru;Ogawa, Toshihide
目的：为了明确弥散加权成像（DWI）在鉴别卵巢良恶性病变中的诊断准确性，材料和方法：我们回顾性分析了119例患者的123个卵巢病变的磁共振图像。我们将异常信号强度的病变定义为恶性，并评估DWI上病变内异常信号强度的位置。我们还评估了平均值和最低的表观扩散系数（ADC）值的实性部分为每个ovarian lesions.Results：大多数恶性卵巢肿瘤和成熟的囊性畸胎瘤，几乎一半的卵巢腺瘤。在DWI上显示异常信号，而大多数纤维瘤和其他良性病变没有。恶性卵巢肿瘤中的实性部分、成熟囊性畸胎瘤中的角蛋白样物质和Rokitansky隆起是异常信号的主要部位。以及腺瘤中的囊内血栓。在DW成像上，受试者操作特征分析得出平均Az值为0.703。结论：卵巢病变的DWI及实性成分的ADC值对卵巢良恶性病变的鉴别诊断无意义。这些知识对于避免卵巢病变诊断中的误解是至关重要的。
Purpose: To clarify the diagnostic accuracy of diffusion-weighted imaging (DWI) in differentiating benign from malignant ovarian lesions.Materials and Methods: We retrospectively analyzed magnetic resonance images of 123 ovarian lesions in 119 patients. We defined lesions with abnormal signal intensity as malignancy and assessed the location of abnormal intensity within the lesions on DWI. We also assessed the mean and lowest apparent diffusion coefficient (ADC) values of the solid portion for each ovarian lesion.Results: The majority of malignant ovarian tumors and mature cystic teratomas, and almost half of the endometriomas. showed abnormal signal intensity on DWI, whereas most fibromas and other benign lesions did not. The main locations of abnormal signal intensity were solid portions in malignant ovarian tumors, cystic components suggestive of keratinoid substances and Rokitansky protuberance in mature cystic teratomas. and intracystic clots in endometriomas. On DW imaging, receiver-operating characteristic analysis yielded mean Az values of 0.703. There was no significant difference in mean and lowest ADC values between malignant and benign lesions.Conclusion: DWI of ovarian lesions and ADC values of the solid component are not useful for differentiating benign from malignant ovarian lesions. This knowledge is essential in avoiding misinterpretation in the diagnosis of ovarian lesions.