Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images.
Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images.
复制标题
使用基于磁共振图像的放射线方法对垂体腺瘤的海绵窦入侵的术前预测。
DOI：
10.1007/s00330-018-5725-3
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发表时间：
2019-03
影响因子：
5.9
通讯作者：
Jia W
中科院分区：
文献类型：
--
作者：
Niu J;Zhang S;Ma S;Diao J;Zhou W;Tian J;Zang Y;Jia W
使用基于对比度增强T1（CE-T1）和T2加权磁共振（MR）成像的放射性方法预测垂体腺瘤（PAS）的海绵窦（CS）侵袭。
从CE-T1和T2 MR图像中招募了194例二级和三级PA的患者（训练集：n = 97；测试集：n = 97）。为了选择最有用的功能，执行了最少的绝对收缩和选择操作员（LASSO）。此外，通过纳入临床 - 放射学风险因素和放射线学签名来构建列术图，并使用决策曲线分析（DCA）验证了诺格图的临床实用性。
在训练集中选择了三个成像特征，基于训练和测试集，放射线模型在曲线（AUC）值为0.852和0.826中产生。在训练集中，风险因素的AUC为0.899，在测试组中产生0.871。
这项研究中开发的命名图可能有助于神经外科医生在二级和三级PAS对CS入侵的术前预测中，这可能有助于创建外科手术策略。
•PAS对CS入侵的术前诊断可能会影响创建手术策略
•MRI可能有助于诊断手术前PAS侵袭CS
•放射线学可能通过MR图像改善CS侵袭检测。
本文的在线版本（10.1007/S00330-018-5725-3）包含补充材料，可供授权用户使用。
To predict cavernous sinus (CS) invasion by pituitary adenomas (PAs) pre-operatively using a radiomics method based on contrast-enhanced T1 (CE-T1) and T2-weighted magnetic resonance (MR) imaging. A total of 194 patients with Knosp grade two and three PAs (training set: n = 97; test set: n = 97) were enrolled in this retrospective study. From CE-T1 and T2 MR images, 2553 quantitative imaging features were extracted. To select the most informative features, least absolute shrinkage and selection operator (LASSO) was performed. Subsequently, a linear support vector machine (SVM) was used to fit the predictive model. Furthermore, a nomogram was constructed by incorporating clinico-radiological risk factors and radiomics signature, and the clinical usefulness of the nomogram was validated using decision curve analysis (DCA). Three imaging features were selected in the training set, based on which the radiomics model yielded area under the curve (AUC) values of 0.852 and 0.826 for the training and test sets. The nomogram based on the radiomics signature and the clinico-radiological risk factors yielded an AUC of 0.899 in the training set and 0.871 in the test set. The nomogram developed in this study might aid neurosurgeons in the pre-operative prediction of CS invasion by Knosp grade two and three PAs, which might contribute to creating surgical strategies. • Pre-operative diagnosis of CS invasion by PAs might affect creating surgical strategies • MRI might help for diagnosis of CS invasion by PAs before surgery • Radiomics might improve the CS invasion detection by MR images. The online version of this article (10.1007/s00330-018-5725-3) contains supplementary material, which is available to authorized users.
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