Amado Cabana S, Gallego Ojea J C, Félez Carballada M
Servicio de Radiodiagnóstico, Complexo Hospitalario Universitario de Ferrol, Ferrol, A Coruña, España.
Servicio de Radiodiagnóstico, Complexo Hospitalario Universitario de Ferrol, Ferrol, A Coruña, España.
Radiologia (Engl Ed). 2020 Jul 7. doi: 10.1016/j.rx.2020.05.006.
To determine whether there is a significant relationship between the shape of the time-intensity curve on dynamic gadolinium-enhanced magnetic resonance imaging (MRI) of ovarian tumors classified as indeterminate at ultrasonography and the type of lesion (benign, borderline, or malignant) to enable an accurate presurgical diagnosis.
We used dynamic contrast-enhanced MRI to study 68 ovarian tumors that were classified as indeterminate at ultrasonography. We included only cases for which a definitive diagnosis (histologic diagnosis or ≥1 year stability on imaging tests) was available. Each case was classified as benign, borderline, or malignant. To analyze the MRI studies, we marked regions of interest in the lesion and in the myometrium (as a reference). We obtained a curve defined by the relation between the intensity of enhancement and time and classified each tumor according to four predefined curve types. We also analyzed semiquantitative parameters. Finally, we compared the results for each of the three groups of tumors.
We found significant associations (p <0.001) between the curves without early enhancement and benign and borderline lesions as well as between the curves with early enhancement and malignant lesions. Malignant lesions were significantly associated with the semiquantitative enhancement parameters: maximum (p=0.002), maximum relative (p=0.006), and relative (p=0.018).
In ovarian tumors classified as indeterminate at ultrasonography, dynamic contrast-enhanced MRI can be useful for classification as benign, borderline, or malignant because the malignant lesions are significantly associated with early enhancement curves.
确定在超声检查中分类为不确定的卵巢肿瘤的动态钆增强磁共振成像(MRI)上的时间-强度曲线形状与病变类型(良性、交界性或恶性)之间是否存在显著关系,以实现准确的术前诊断。
我们使用动态对比增强MRI研究了68例在超声检查中分类为不确定的卵巢肿瘤。我们仅纳入了有明确诊断(组织学诊断或影像学检查≥1年稳定)的病例。每个病例分为良性、交界性或恶性。为了分析MRI研究结果,我们在病变和子宫肌层(作为参考)中标记感兴趣区域。我们获得了由增强强度与时间之间的关系定义的曲线,并根据四种预定义的曲线类型对每个肿瘤进行分类。我们还分析了半定量参数。最后,我们比较了三组肿瘤各自的结果。
我们发现无早期增强的曲线与良性和交界性病变之间以及有早期增强的曲线与恶性病变之间存在显著关联(p<0.001)。恶性病变与半定量增强参数显著相关:最大值(p=0.002)、最大相对值(p=0.006)和相对值(p=0.018)。
在超声检查中分类为不确定的卵巢肿瘤中,动态对比增强MRI可用于分类为良性、交界性或恶性,因为恶性病变与早期增强曲线显著相关。