Abstract：
AIM:To develop and evaluate a radiomics composite model for predicting disease-free survival (DFS) in stage I solid lung adenocarcinoma, and compare it to a simple radiomics model. MATERIALS AND METHODS:Patients of pathological stage I solid lung adenocarcinoma treated with lobectomy (n = 119) were enrolled retrospectively. Three hundred and ninety-seven radiomics features per lesion were extracted from enhanced chest computed tomography (CT) imaging. Spearman's correlation coefficient and the LASSO (least absolute shrinkage and selection operator) regression model were used to reduce the dimension and select radiomics features. Univariate or multivariate logistic regression was used to build prediction models. A survival curve based on the radiomics composite model was plotted with Kaplan-Meier survival analysis to stratify the risk of recurrence. The confusion matrix, receiver operating characteristic (ROC) curve, and decision curve analysis were used to evaluate the performance of the prediction models. RESULTS:Recurrence occurred in 22.6% of patients. The survival curve of the radiomics composite model could accurately differentiate high-risk from low-risk patients. In the validation sets, the areas under the ROC curves (AUCs) of the pathological TNM stage (8th IASLC), clinicopathological model, radiomics model, and radiomics composite model were 0.587 (95% confidence interval [CI] 0.502-0.650), 0.629 (95% CI 0.558-0.682), 0.726 (95% CI 0.681-0.770), and 0.849 (95% CI 0.783-0.898), respectively. CONCLUSION:The prognosis of stage I solid lung adenocarcinoma predicted by an individualised radiomics composite model was more accurate than that of the simple radiomics model.
journal_name
Clin Radioljournal_title
Clinical radiologyauthors
Chen H,Liang M,Li X,Wu T,Zhang L,Liu Xdoi
10.1016/j.crad.2020.03.019subject
Has Abstractpub_date
2020-07-01 00:00:00pages
562.e11-562.e19issue
7eissn
0009-9260issn
1365-229Xpii
S0009-9260(20)30118-5journal_volume
75pub_type
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journal_title：Clinical radiology
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更新日期：1990-09-01 00:00:00
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doi：10.1016/s0009-9260(05)80200-4
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更新日期：2017-03-01 00:00:00
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journal_title：Clinical radiology
pub_type： 杂志文章
doi：10.1016/s0009-9260(98)80038-x
更新日期：1998-01-01 00:00:00
