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基于 T2WI 纹理分析对咽旁间隙神经源性肿瘤和多形性腺瘤的鉴别诊断。

Differentiation of neurogenic tumours and pleomorphic adenomas in the parapharyngeal space based on texture analysis of T2WI.

机构信息

Department of Radiology, China-Japan Union Hospital of Jilin University, No. 829 of Xinmin Street, Chaoyang District, Changchun, 130021, China.

Department of Research Collaboration, R&D Center, Beijing Deepwise and League of PHD Technology Co. Ltd., Beijing, 100080, China.

出版信息

BMC Oral Health. 2023 Aug 9;23(1):548. doi: 10.1186/s12903-023-03283-6.

Abstract

BACKGROUND

The purpose of this study was to identify neurogenic tumours and pleomorphic adenomas of the parapharyngeal space based on the texture characteristics of MRI-T2WI.

METHODS

MR findings and pathological reports of 25 patients with benign tumours in the parapharyngeal space were reviewed retrospectively (13 cases with pleomorphic adenomas and 12 cases with neurogenic tumours). Using PyRadiomics, the texture of the region of interest in T2WI sketched by radiologists was analysed. By using independent sample t-tests and Mann‒Whitney U tests, the selected texture features of 36 Gray Level Co-Occurrence Matrix (GLCM) and Gray Level Dependence Matrix (GLDM) were tested. A set of parameters of texture features showed statistically significant differences between the two groups, which were selected, and the diagnostic efficiency was evaluated via the operating characteristic curve of the subjects.

RESULTS

The differences in the three parameters - small dependence low level emphasis (SDLGLE), low level emphasis (LGLE) and difference variance (DV) of characteristics - between the two groups were statistically significant (P < 0.05). No significant difference was found in the other indices. ROC curves were drawn for the three parameters, with AUCs of 0.833, 0.795, and 0.744, respectively.

CONCLUSIONS

There is a difference in the texture characteristic parameters based on magnetic resonance T2WI images between neurogenic tumours and pleomorphic adenomas in the parapharyngeal space. For the differential diagnosis of these two kinds of tumours, texture analysis of significant importance is an objective and quantitative analytical tool.

摘要

背景

本研究旨在基于 MRI-T2WI 的纹理特征,识别咽旁间隙的神经源性肿瘤和多形性腺瘤。

方法

回顾性分析 25 例咽旁间隙良性肿瘤患者的 MRI 表现和病理报告(多形性腺瘤 13 例,神经源性肿瘤 12 例)。使用 PyRadiomics,对由放射科医生勾画的 T2WI 感兴趣区的纹理进行分析。采用独立样本 t 检验和 Mann-Whitney U 检验,对 36 个灰度共生矩阵(GLCM)和灰度依赖矩阵(GLDM)的选定纹理特征进行检验。两组间有统计学差异的一组纹理特征参数,选择这些参数,并通过受试者工作特征曲线评估诊断效能。

结果

两组间三个特征参数(小依赖低灰度强调度(SDLGLE)、低灰度强调度(LGLE)和差方差(DV))的差异有统计学意义(P<0.05)。其他指标无显著差异。绘制三个参数的 ROC 曲线,曲线下面积分别为 0.833、0.795 和 0.744。

结论

咽旁间隙神经源性肿瘤和多形性腺瘤的磁共振 T2WI 图像纹理特征参数存在差异。纹理分析是一种客观、定量的分析工具,对这两种肿瘤的鉴别诊断具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/588a/10413588/d64e3e399f5e/12903_2023_3283_Fig1_HTML.jpg

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