Xu Xiao-Quan, Qian Wen, Hu Hao, Su Guo-Yi, Liu Hu, Shi Hai-Bin, Wu Fei-Yun
1 Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
2 Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China.
Acta Radiol. 2019 Feb;60(2):239-246. doi: 10.1177/0284185118778873. Epub 2018 May 27.
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been used for assessing orbital lymphoproliferative disorders (OLPDs). However, only the mean values of quantitative parameters were obtained in previous studies and tumor heterogeneity was ignored.
To assess the value of DCE-MRI derived histogram parameters in differentiating malignant from benign OLPDs.
Forty-eight OLPDs patients (25 malignant and 23 benign) who had undergone DCE-MRI for pre-treatment evaluation were retrospectively included. Histogram parameters of K, k, and v were calculated and compared between two groups using the independent sample's t-test. Receiver operating characteristic (ROC) curve analyses were used to determine the diagnostic value of each significant parameter. Multivariate stepwise logistic regression analysis was used to identify the independent predictors of malignant OLPDs.
Tenth k, mean k, median k, and 90th k were significantly higher in the malignant OLPD group than in the benign OLPD group. Tenth v was significantly lower in the malignant OLPD group than in the benign OLPD group. Ninetieth k was the only independent predictor of malignant OLPDs ( P = 0.019), with an area under ROC curve of 0.828, a sensitivity of 92.00%, and a specificity of 78.26% at a cut-off value of 1.057 min.
Histogram analysis of DCE-MRI derived parameters may help to differentiate malignant from benign OLPDs. The 90th k hold the potential as an independent predictor for malignant OLPDs.
动态对比增强磁共振成像(DCE-MRI)已用于评估眼眶淋巴增生性疾病(OLPDs)。然而,以往研究仅获得了定量参数的平均值,而忽略了肿瘤的异质性。
评估DCE-MRI衍生直方图参数在鉴别OLPDs良恶性方面的价值。
回顾性纳入48例接受DCE-MRI进行治疗前评估的OLPDs患者(25例恶性,23例良性)。计算K、k和v的直方图参数,并使用独立样本t检验在两组之间进行比较。采用受试者操作特征(ROC)曲线分析确定每个显著参数的诊断价值。采用多因素逐步逻辑回归分析确定恶性OLPDs的独立预测因素。
恶性OLPD组的第10百分位数k、平均k、中位数k和第90百分位数k显著高于良性OLPD组。恶性OLPD组的第10百分位数v显著低于良性OLPD组。第90百分位数k是恶性OLPDs的唯一独立预测因素(P = 0.019),在截断值为1.057分钟时,ROC曲线下面积为0.828,灵敏度为92.00%,特异度为78.26%。
DCE-MRI衍生参数的直方图分析可能有助于鉴别OLPDs的良恶性。第90百分位数k有望成为恶性OLPDs的独立预测因素。