评估CT图像的形状和纹理特征作为非小细胞肺癌的预后生物标志物
Evaluation of Shape and Textural Features from CT as Prognostic Biomarkers in Non-small Cell Lung Cancer.
作者信息
Bianconi Francesco, Fravolini Mario Luca, Bello-Cerezo Raquel, Minestrini Matteo, Scialpi Michele, Palumbo Barbara
机构信息
Department of Engineering, University of Perugia, Perugia, Italy
Department of Engineering, University of Perugia, Perugia, Italy.
出版信息
Anticancer Res. 2018 Apr;38(4):2155-2160. doi: 10.21873/anticanres.12456.
BACKGROUND/AIM: We retrospectively investigated the prognostic potential (correlation with overall survival) of 9 shape and 21 textural features from non-contrast-enhanced computed tomography (CT) in patients with non-small-cell lung cancer.
MATERIALS AND METHODS
We considered a public dataset of 203 individuals with inoperable, histologically- or cytologically-confirmed NSCLC. Three-dimensional shape and textural features from CT were computed using proprietary code and their prognostic potential evaluated through four different statistical protocols.
RESULTS
Volume and grey-level run length matrix (GLRLM) run length non-uniformity were the only two features to pass all four protocols. Both features correlated negatively with overall survival. The results also showed a strong dependence on the evaluation protocol used.
CONCLUSION
Tumour volume and GLRLM run-length non-uniformity from CT were the best predictor of survival in patients with non-small-cell lung cancer. We did not find enough evidence to claim a relationship with survival for the other features.
背景/目的：我们回顾性研究了非小细胞肺癌患者非增强计算机断层扫描（CT）的9种形状特征和21种纹理特征的预后潜力（与总生存期的相关性）。
材料与方法
我们考虑了一个包含203例无法手术、经组织学或细胞学确诊的非小细胞肺癌患者的公共数据集。使用专有代码计算CT的三维形状和纹理特征，并通过四种不同的统计方案评估其预后潜力。
结果
体积和灰度游程长度矩阵（GLRLM）游程长度不均匀性是仅有的通过所有四种方案的两个特征。这两个特征均与总生存期呈负相关。结果还显示出对所用评估方案的强烈依赖性。
结论
CT的肿瘤体积和GLRLM游程长度不均匀性是非小细胞肺癌患者生存的最佳预测指标。我们没有找到足够的证据证明其他特征与生存期有关。
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