Objectives To differentiate pituitary adenoma from Rathke cleft cyst in magnetic resonance (MR) scan by combing MR image features with texture features. Methods A total number of 133 patients were included in this study, 83 with pituitary adenoma and 50 with Rathke cleft cyst. Qualitative MR image features and quantitative texture features were evaluated by using the chi-square tests or Mann-Whitney U test. Binary logistic regression analysis was conducted to investigate their ability as independent predictors. ROC analysis was conducted subsequently on the independent predictors to assess their practical value in discrimination and was used to investigate the association between two types of features. Results Signal intensity on the contrast-enhanced image was found to be the only significantly different MR image feature between the two lesions. Two texture features from the contrast-enhanced images (Histo-Skewness and GLCM-Correlation) were found to be the independent predictors in discrimination, of which AUC values were 0.80 and 0.75, respectively. Besides, the above two texture features (Histo-Skewness and GLCM-Contrast) were suggested to be associated with signal intensity on the contrast-enhanced image. Conclusion Signal intensity on the contrast-enhanced image was the most significant MR image feature in differentiation between pituitary adenoma and Rathke cleft cyst, and texture features also showed promising and practical ability in discrimination. Moreover, two types of features could be coordinated with each other.

中文翻译：

---

垂体腺瘤与Rathke裂囊肿的鉴别：结合MR图像特征和纹理特征。

目的通过将磁共振图像特征与纹理特征相结合，在磁共振（MR）扫描中区分垂体腺瘤与Rathke裂隙囊肿。方法本研究共纳入133例患者，其中垂体腺瘤83例，Rathke裂囊肿50例。通过使用卡方检验或Mann-Whitney U检验来评估MR图像的定性特征和定量纹理特征。进行了二进制逻辑回归分析以研究其作为独立预测因子的能力。随后对独立预测变量进行了ROC分析，以评估其在歧视中的实际价值，并用于调查两种类型特征之间的关联。结果发现增强造影剂图像上的信号强度是两个病变之间唯一显着不同的MR图像特征。发现对比度增强图像中的两个纹理特征（Histo-Skewness和GLCM-Correlation）是辨别力的独立预测因子，其AUC值分别为0.80和0.75。此外，建议将上述两个纹理特征（Histo-Skewness和GLCM-Contrast）与对比度增强图像上的信号强度相关联。结论增强图像上的信号强度是区分垂体腺瘤和Rathke唇囊肿的最重要的MR图像特征，纹理特征也显示出有希望的实用鉴别能力。而且，两种类型的特征可以彼此协调。其中AUC值分别为0.80和0.75。此外，建议将上述两个纹理特征（Histo-Skewness和GLCM-Contrast）与对比度增强图像上的信号强度相关联。结论增强图像上的信号强度是区分垂体腺瘤和Rathke唇囊肿的最重要的MR图像特征，纹理特征也显示出有希望的实用鉴别能力。此外，两种类型的特征可以彼此协调。其中AUC值分别为0.80和0.75。此外，建议将上述两个纹理特征（Histo-Skewness和GLCM-Contrast）与对比度增强图像上的信号强度相关联。结论增强图像上的信号强度是区分垂体腺瘤和Rathke唇囊肿的最重要的MR图像特征，纹理特征也显示出有希望的实用鉴别能力。此外，两种类型的特征可以彼此协调。结论增强图像上的信号强度是区分垂体腺瘤和Rathke唇囊肿的最重要的MR图像特征，纹理特征也显示出有希望的实用鉴别能力。此外，两种类型的特征可以彼此协调。结论增强图像上的信号强度是区分垂体腺瘤和Rathke唇囊肿的最重要的MR图像特征，纹理特征也显示出有希望的实用鉴别能力。此外，两种类型的特征可以彼此协调。