Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma
Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma
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DOI：
10.1109/access.2021.3049582
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发表时间：
2021-01-01
期刊：
影响因子：
3.9
通讯作者：
Rajpoot, Nasir M.
中科院分区：
文献类型：
--
作者：
Alsubaie, Najah M.;Snead, David;Rajpoot, Nasir M.
提供肿瘤细胞核的定量评估将提高决策的客观性，并克服观察者之间和观察者内部的差异。在这项研究中，我们表明，核多形性的整个载玻片图像的汇总统计可以提供这样的量化。我们用肿瘤细胞核的形态计量学特征来描述肺腺癌（LUAD）的异质性。对78名患者的数据集采用考克斯比例风险回归模型，以找到最佳判别特征，从而与患者生存率具有强相关性。我们发现，以热图统计为特征的总体核形态学特征与LUAD的总生存率显著相关（p < 0.0003）。
Providing a quantitative assessment of tumour nuclei would improve decision objectivity and overcome inter and intra-observer variation. In this study, we show that the summary statistics for the whole slide image of nuclear pleomorphism can provide such quantification. We characterise the heterogeneity of lung adenocarcinoma (LUAD) using morphometric features of tumour nuclei. The Cox proportional hazard regression model is employed on a dataset of 78 patients to find the top discriminative features such that there is a strong correlation with patient survival. We find that global nuclear morphometric features, characterised by heatmap statistics, have a significant correlation with overall survival in LUAD (p < 0.0003).