The value of dynamic contrast-enhanced MRI in characterizing complex ovarian tumors.
The value of dynamic contrast-enhanced MRI in characterizing complex ovarian tumors.
复制标题
动态增强磁共振成像在复杂卵巢肿瘤表征中的价值
DOI：
10.1186/s13048-017-0302-y
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发表时间：
2017-01-14
影响因子：
4
通讯作者：
Zhao SH
中科院分区：
文献类型：
--
作者：
Li HM;Qiang JW;Ma FH;Zhao SH
本研究旨在探讨动态增强磁共振成像(DCE-MRI)在卵巢良恶性交界性肿瘤鉴别诊断中的应用价值。回顾分析经手术和病理证实的102例复杂卵巢肿瘤的DCE-MRI资料，其中良性15例，交界性16例，恶性71例。比较良性、交界性和恶性卵巢肿瘤的时间-信号强度曲线(TIC)和增强幅度(EA)、最大斜率(MS)、半上升时间(THR)三个半定量参数。采用皮尔逊卡方χ2软件对交界性肿瘤与良性肿瘤的TIC型进行比较。用单因素方差分析或非参数Kruskal-Wallis检验比较Ea、MS和Thr的平均值。71例恶性肿瘤中5 9例(83%)为III型TIC，交界性肿瘤中9例(56%)为II型TIC，15例良性肿瘤中10例(67%)为II型TIC，恶性肿瘤与良性肿瘤之间差异有统计学意义(P <； 0.001)，恶性肿瘤与交界性肿瘤之间差异有统计学意义(P <； 0.001)。恶性肿瘤MS明显高于良性肿瘤，交界性肿瘤MS明显高于良性肿瘤(P <； 0.001，P = 0.013)。恶性肿瘤的Thr明显低于良性肿瘤，交界性肿瘤明显低于良性肿瘤(P <； 0.001，P = 0.007)。恶性与交界性肿瘤在MS和Thr之间差异无统计学意义(P = 0.19，0.153)，恶性、交界性和良性肿瘤之间EA差异无统计学意义(P> & )。DCE-MRI有助于确定复杂的卵巢肿瘤的特征；然而，半定量参数在区分恶性和交界性肿瘤时表现不佳。
The study aimed to investigate the utility of dynamic contrast enhanced MRI (DCE-MRI) in the differentiation of malignant, borderline, and benign complex ovarian tumors. DCE-MRI data of 102 consecutive complex ovarian tumors (benign 15, borderline 16, and malignant 71), confirmed by surgery and histopathology, were analyzed retrospectively. The patterns (I, II, and III) of time-signal intensity curve (TIC) and three semi-quantitative parameters, including enhancement amplitude (EA), maximal slope (MS), and time of half rising (THR), were evaluated and compared among benign, borderline, and malignant ovarian tumors. The types of TIC were compared by Pearson Chi-square χ 2 between malignant and benign, borderline tumors. The mean values of EA, MS, and THR were compared using one-way ANOVA or nonparametric Kruskal-Wallis test. Fifty-nine of 71 (83%) malignant tumors showed a type-III TIC; 9 of 16 (56%) borderline tumors showed a type-II TIC, and 10 of 15 (67%) benign tumors showed a type-II TIC, with a statistically significant difference between malignant and benign tumors (P < 0.001) and between malignant and borderline tumors (P < 0.001). MS was significantly higher in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.013, respectively). THR was significantly lower in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.007, respectively). There was no statistically significant difference between malignant and borderline tumors in MS and THR (P = 0.19, 0.153) or among malignant, borderline, and benign tumors in EA (all P > 0.05). DCE-MRI is helpful for characterizing complex ovarian tumors; however, semi-quantitative parameters perform poorly when distinguishing malignant from borderline tumors.