Department of Radiology, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France.
Eur Radiol. 2012 Apr;22(4):738-45. doi: 10.1007/s00330-011-2329-6. Epub 2011 Nov 23.
To evaluate the ability of quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to differentiate malignant from benign adnexal tumours.
Fifty-six women with 38 malignant and 18 benign tumours underwent MR imaging before surgery for complex adnexal masses. Microvascular parameters were extracted from high temporal resolution DCE-MRI series, using a pharmacokinetic model in the solid tissue of adnexal tumours. These parameters were tissue blood flow (F(T)), blood volume fraction (Vb), permeability-surface area product (PS), interstitial volume fraction (Ve), lag time (Dt) and area under the enhancing curve (rAUC). Area under the receiver operating curve (AUROC) was calculated as a descriptive tool to assess the overall discrimination of parameters.
Malignant tumours displayed higher F(T), Vb, rAUC and lower Ve than benign tumours (P < 0.0001, P = 0.0006, P = 0.04 and P = 0.0002, respectively). F(T) was the most relevant factor for discriminating malignant from benign tumours (AUROC = 0.86). Primary ovarian invasive tumours displayed higher F(T) and shorter Dt than borderline tumours. Malignant adnexal tumours with associated peritoneal carcinomatosis at surgery displayed a shorter Dt than those without peritoneal carcinomatosis at surgery (P = 0.01).
Quantitative DCE-MRI is a feasible and accurate technique to differentiate malignant from benign adnexal tumours and could potentially help oncologists with management decisions.
Quantitative DCE MR imaging allows accurate differentiation between malignant and benign tumours. Quantitative DCE MRI may help predict peritoneal carcinomatosis associated with ovarian tumors. Quantitative DCE MRI helps distinguish between invasive and borderline primary ovarian tumours.
评估定量动态对比增强磁共振成像(DCE-MRI)区分卵巢附件良恶性肿瘤的能力。
56 名女性患者(38 例恶性肿瘤,18 例良性肿瘤)在手术治疗复杂卵巢附件肿块前进行了磁共振成像检查。使用卵巢附件肿瘤实体组织的药代动力学模型,从高时间分辨率 DCE-MRI 序列中提取微血管参数。这些参数包括组织血流(F(T))、血容量分数(Vb)、渗透性表面积乘积(PS)、间质体积分数(Ve)、迟滞时间(Dt)和增强曲线下面积(rAUC)。计算曲线下面积(AUROC)作为评估参数整体区分能力的描述性工具。
恶性肿瘤的 F(T)、Vb、rAUC 较高,Ve 较低,与良性肿瘤相比差异有统计学意义(P < 0.0001,P = 0.0006,P = 0.04 和 P = 0.0002)。F(T)是区分良恶性肿瘤的最相关因素(AUROC = 0.86)。原发性卵巢浸润性肿瘤的 F(T)较高,Dt 较短。手术时伴有腹膜种植转移的恶性卵巢附件肿瘤的 Dt 短于手术时无腹膜种植转移的肿瘤(P = 0.01)。
定量 DCE-MRI 是一种可行且准确的区分卵巢附件良恶性肿瘤的技术,可能有助于肿瘤学家做出管理决策。
定量 DCE-MRI 能够准确区分良恶性肿瘤。定量 DCE-MRI 可能有助于预测与卵巢肿瘤相关的腹膜种植转移。定量 DCE-MRI 有助于区分原发性卵巢浸润性和交界性肿瘤。