Policlinico GB Rossi, P.le L.A. Scuro, 37134, Verona, Italy.
Eur Radiol. 2012 Apr;22(4):880-90. doi: 10.1007/s00330-011-2331-z. Epub 2011 Nov 18.
To determine whether threshold criteria using semi-quantitative multiphase-dynamic contrast-enhanced magnetic resonance imaging (DCE- MRI) can improve prediction of malignancy in complex adnexal masses.
MRI features of 70 complex adnexal masses with enhancing components in 63 patients were reviewed and correlated with histopathology (n = 67) or radiological follow-up (n = 3). Masses were categorised as benign (n = 34) or borderline/invasive malignant (n = 36). Borderline lesions (n = 6) were also analysed separately. Using the semi-quantitative breast analysis software, regions of interest were drawn around the most avidly enhancing component of each lesion. Maximum absolute enhancement of signal intensities (SI(max)), maximum relative enhancement (SI(rel)) and wash-in rate (WIR) were recorded. Optimal threshold criteria were established to predict borderline/invasive malignancy.
There was a significant difference in mean SI(max) (P < 0.05), SI(rel) (P < 0.01) and WIR (P < 0.001) between benign and borderline/invasive malignant groups. A cut-off WIR ≥ 9.5 l/s had a specificity of 88% and positive predictive value of 86% for predicting malignancy, significantly better than conventional MRI (62%, P < 0.01). WIR <8.2 l/s had a negative predictive value of 94%.
Threshold criteria using semi-quantitative multiphase DCE-MRI improves specificity in the prediction of malignancy in complex adnexal masses with enhancing components and is complementary to standard qualitative assessment.
Semi-quantitative DCE-MRI threshold criteria are effective for predicting ovarian malignancy. The surgical approach may be altered depending on DCE-MRI threshold criteria analysis. Borderline tumours demonstrate significant overlap with benign lesions using DCE-MRI threshold criteria.
确定使用半定量多时相动态对比增强磁共振成像(DCE-MRI)的阈值标准是否可以提高对复杂附件肿块恶性肿瘤的预测能力。
回顾 63 例患者 70 个增强附件肿块的 MRI 特征,并与组织病理学(n=67)或影像学随访(n=3)进行相关性分析。肿块分为良性(n=34)或交界/浸润性恶性(n=36)。单独分析交界性病变(n=6)。使用半定量乳腺分析软件,在每个病变的最活跃增强部分周围绘制感兴趣区。记录最大绝对信号强度增强(SI(max))、最大相对增强(SI(rel))和洗脱率(WIR)。建立最佳阈值标准以预测交界/浸润性恶性肿瘤。
良性和交界/浸润性恶性组之间的平均 SI(max)(P<0.05)、SI(rel)(P<0.01)和 WIR(P<0.001)存在显著差异。WIR≥9.5 l/s 的截断值对预测恶性肿瘤具有 88%的特异性和 86%的阳性预测值,明显优于常规 MRI(62%,P<0.01)。WIR<8.2 l/s 的阴性预测值为 94%。
使用半定量多时相 DCE-MRI 的阈值标准可提高对增强附件肿块恶性肿瘤的预测特异性,与标准定性评估互补。
半定量 DCE-MRI 阈值标准可有效预测卵巢恶性肿瘤。手术方法可能根据 DCE-MRI 阈值标准分析进行改变。使用 DCE-MRI 阈值标准,交界性肿瘤与良性病变存在显著重叠。