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可切除胰腺导管腺癌:术前 CT 纹理特征与转移性淋巴结受累的关系。

Resectable pancreatic ductal adenocarcinoma: association between preoperative CT texture features and metastatic nodal involvement.

机构信息

Department of Nuclear Medicine, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, 197 Ruijin Er Road, Shanghai, 200025, NO, China.

Department of Radiology, Shanghai Jiao Tong University Medical School Affiliated North Ruijin Hospital, Shanghai, China.

出版信息

Cancer Imaging. 2020 Feb 10;20(1):17. doi: 10.1186/s40644-020-0296-3.

Abstract

BACKGROUND

To explore the relationship between the lymph node status and preoperative computed tomography images texture features in pancreatic cancer.

METHODS

A total of 155 operable pancreatic cancer patients (104 men, 51 women; mean age 63.8 ± 9.6 years), who had undergone contrast-enhanced computed tomography in the arterial and portal venous phases, were enrolled in this retrospective study. There were 73 patients with lymph node metastases and 82 patients without nodal involvement. Four different data sets, with thin (1.25 mm) and thick (5 mm) slices (at arterial phase and portal venous phase) were analysed. Texture analysis was performed by using MaZda software. A combination of feature selection algorithms was used to determine 30 texture features with the optimal discriminative performance for differentiation between lymph node positive and negative groups. The prediction performance of the selected feature was evaluated by receiver operating characteristic (ROC) curve analysis.

RESULTS

There were 10 texture features with significant differences between two groups and significance in ROC analysis were identified. They were WavEnLH_s-2(wavelet energy with rows and columns are filtered with low pass and high pass frequency bands with scale factors 2) from wavelet-based features, 135dr_LngREmph (long run emphasis in 135 direction) and 135dr_Fraction (fraction of image in runs in 135 direction) from run length matrix-based features, and seven variables of sum average from coocurrence matrix-based features (SumAverg). The ideal cutoff value for predicting lymph node metastases was 270 for WavEnLH_s-2 (positive likelihood ratio 2.08). In addition, 135dr_LngREmph and 135dr_Fraction were correlated with the ratio of metastatic to examined lymph nodes.

CONCLUSIONS

Preoperative computed tomography high order texture features provide a useful imaging signature for the prediction of nodal involvement in pancreatic cancer.

摘要

背景

探讨胰腺癌淋巴结状态与术前 CT 图像纹理特征的关系。

方法

本回顾性研究共纳入 155 例可手术的胰腺癌患者(男 104 例,女 51 例;平均年龄 63.8±9.6 岁),所有患者均接受了动脉期和门静脉期增强 CT 检查。其中淋巴结转移患者 73 例,无淋巴结受累患者 82 例。分别对薄层(1.25mm)和厚层(5mm)切片的动脉期和门静脉期的 4 组不同数据进行分析。使用 MaZda 软件进行纹理分析。采用特征选择算法组合,确定了 30 个具有最佳鉴别性能的纹理特征,用于区分淋巴结阳性和阴性组。采用受试者工作特征(ROC)曲线分析评估所选特征的预测性能。

结果

两组间有 10 个纹理特征存在显著差异,且在 ROC 分析中有统计学意义。这些特征包括基于小波的特征中的 WavEnLH_s-2(行列的小波能量经低通和高通频带滤波,尺度因子为 2),基于游程长度矩阵的特征中的 135dr_LngREmph(135 方向的长运行强调)和 135dr_Fraction(135 方向运行的图像分数),以及基于共生矩阵的特征中的七个总和平均值变量(SumAverg)。预测淋巴结转移的理想截断值为 WavEnLH_s-2 的 270(阳性似然比为 2.08)。此外,135dr_LngREmph 和 135dr_Fraction 与转移性淋巴结与检查淋巴结的比值相关。

结论

术前 CT 高阶纹理特征可为预测胰腺癌淋巴结受累提供有用的影像学特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273f/7011565/44d2841b4793/40644_2020_296_Fig1_HTML.jpg

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