Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients.
Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients.
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DOI：
10.18632/oncotarget.21629
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发表时间：
2017-11-10
期刊：
影响因子：
--
通讯作者：
Schabath MB
中科院分区：
文献类型：
--
作者：
Tunali I;Stringfield O;Guvenis A;Wang H;Liu Y;Balagurunathan Y;Lambin P;Gillies RJ;Schabath MB
这项研究的目的是从诊断为肺腺癌的患者的胸部CT扫描中提取径向偏差和径向梯度图的特征，并评估这些特征是否与总体生存相关。我们使用了来自不同机构的两个独立队列进行培训(n=61)和测试(n=47)，并将分析集中在非冗余和高度可重复性的特征上。为了将特征和协变量的数量减少到单一的简约模型中，采用了向后消除的方法。在提取的48个特征中，有31个被剔除，因为它们不能重现或多余。我们考虑了17个特征进行统计分析，并确定了一个最终模型，其中包含与肺癌存活率相关的两个信息最丰富的特征。两个特征之一，径向偏差，边界外分离标准偏差，在测试队列中重复，显示出与肺癌存活率有统计学意义的相关性(多变量风险比=0.40；95%可信区间0.17-0.97)。此外，我们探索了这些特征的生物学基础，发现径向梯度和径向偏差图像特征与语义放射学特征显著相关。
The goal of this study was to extract features from radial deviation and radial gradient maps which were derived from thoracic CT scans of patients diagnosed with lung adenocarcinoma and assess whether these features are associated with overall survival. We used two independent cohorts from different institutions for training (n= 61) and test (n= 47) and focused our analyses on features that were non-redundant and highly reproducible. To reduce the number of features and covariates into a single parsimonious model, a backward elimination approach was applied. Out of 48 features that were extracted, 31 were eliminated because they were not reproducible or were redundant. We considered 17 features for statistical analysis and identified a final model containing the two most highly informative features that were associated with lung cancer survival. One of the two features, radial deviation outside-border separation standard deviation, was replicated in a test cohort exhibiting a statistically significant association with lung cancer survival (multivariable hazard ratio = 0.40; 95% confidence interval 0.17-0.97). Additionally, we explored the biological underpinnings of these features and found radial gradient and radial deviation image features were significantly associated with semantic radiological features.
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影响因子：
19.7
作者：
Zhao, Binsheng;James, Leonard P.;Schwartz, Lawrence H.
通讯作者：
Schwartz, Lawrence H.
DOI：
10.1016/j.radonc.2016.04.004
发表时间：
2016-06
期刊：
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
影响因子：
--
作者：
Coroller TP;Agrawal V;Narayan V;Hou Y;Grossmann P;Lee SW;Mak RH;Aerts HJ
通讯作者：
Aerts HJ
影响因子：
3.7
作者：
Grove O;Berglund AE;Schabath MB;Aerts HJ;Dekker A;Wang H;Velazquez ER;Lambin P;Gu Y;Balagurunathan Y;Eikman E;Gatenby RA;Eschrich S;Gillies RJ
通讯作者：
Gillies RJ
影响因子：
254.7
作者：
Siegel, Rebecca;Ma, Jiemin;Jemal, Ahmedin
通讯作者：
Jemal, Ahmedin
影响因子：
20.4
作者：
Glynn, Catherine;Zakowski, Maureen F.;Ginsberg, Michelle S.
通讯作者：
Ginsberg, Michelle S.