Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules
In this study, we aimed to establish a radiomics nomogram that noninvasively evaluates the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules (GGNs). Computed tomography (CT) images of 509 patients manifesting as GGNs were collected: 70% of cases were included in the train...
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doaj-993788e26de744aeb4fd1cb731a511d72020-12-25T05:07:41ZengElsevierTranslational Oncology1936-52332021-01-01141100936Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodulesFanyang Meng0Yan Guo1Mingyang Li2Xiaoqian Lu3Shuo Wang4Lei Zhang5Huimao Zhang6Department of Radiology, The First Hospital of Jilin University, NO.71 Xinmin Street, Changchun 130012, ChinaGE Healthcare, Beijing, ChinaState Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, ChinaDepartment of Radiology, The First Hospital of Jilin University, NO.71 Xinmin Street, Changchun 130012, ChinaDepartment of Radiology, The First Hospital of Jilin University, NO.71 Xinmin Street, Changchun 130012, ChinaDepartment of Radiology, The First Hospital of Jilin University, NO.71 Xinmin Street, Changchun 130012, China; Corresponding authors.Department of Radiology, The First Hospital of Jilin University, NO.71 Xinmin Street, Changchun 130012, China; Corresponding authors.In this study, we aimed to establish a radiomics nomogram that noninvasively evaluates the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules (GGNs). Computed tomography (CT) images of 509 patients manifesting as GGNs were collected: 70% of cases were included in the training cohort and 30% in the validation cohort. The Max-Relevance and Min-Redundancy (mRMR) and the least absolute shrinkage and selection operator (LASSO) algorithm were used to select the radiomics features and construct a radiomics signature. Univariate and multivariate logistic regression were used to select the invasiveness-related clinical and CT morphological predictors. Age, smoking history, long diameter, and average CT value were retained as independent predictors of GGN invasiveness. A radiomics nomogram was established by integrating clinical and CT morphological features with the radiomics signature. The radiomics nomogram showed good predictive ability in the training set (area under the curve [AUC], 0.940; 95% confidence interval [CI], 0.916–0.964) and validation set (AUC, 0.946; 95% CI, 0.907–0.986). This radiomics nomogram may serve as a noninvasive and accurate predictive tool to determine the invasiveness of GGNs prior to surgery and assist clinicians in creating personalized treatment strategies.http://www.sciencedirect.com/science/article/pii/S1936523320304289Lung adenocarcinomaGround-glass nodulesComputed tomographyRadiomicsNomogram |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fanyang Meng Yan Guo Mingyang Li Xiaoqian Lu Shuo Wang Lei Zhang Huimao Zhang |
spellingShingle |
Fanyang Meng Yan Guo Mingyang Li Xiaoqian Lu Shuo Wang Lei Zhang Huimao Zhang Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules Translational Oncology Lung adenocarcinoma Ground-glass nodules Computed tomography Radiomics Nomogram |
author_facet |
Fanyang Meng Yan Guo Mingyang Li Xiaoqian Lu Shuo Wang Lei Zhang Huimao Zhang |
author_sort |
Fanyang Meng |
title |
Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules |
title_short |
Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules |
title_full |
Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules |
title_fullStr |
Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules |
title_full_unstemmed |
Radiomics nomogram: A noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules |
title_sort |
radiomics nomogram: a noninvasive tool for preoperative evaluation of the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules |
publisher |
Elsevier |
series |
Translational Oncology |
issn |
1936-5233 |
publishDate |
2021-01-01 |
description |
In this study, we aimed to establish a radiomics nomogram that noninvasively evaluates the invasiveness of pulmonary adenocarcinomas manifesting as ground-glass nodules (GGNs). Computed tomography (CT) images of 509 patients manifesting as GGNs were collected: 70% of cases were included in the training cohort and 30% in the validation cohort. The Max-Relevance and Min-Redundancy (mRMR) and the least absolute shrinkage and selection operator (LASSO) algorithm were used to select the radiomics features and construct a radiomics signature. Univariate and multivariate logistic regression were used to select the invasiveness-related clinical and CT morphological predictors. Age, smoking history, long diameter, and average CT value were retained as independent predictors of GGN invasiveness. A radiomics nomogram was established by integrating clinical and CT morphological features with the radiomics signature. The radiomics nomogram showed good predictive ability in the training set (area under the curve [AUC], 0.940; 95% confidence interval [CI], 0.916–0.964) and validation set (AUC, 0.946; 95% CI, 0.907–0.986). This radiomics nomogram may serve as a noninvasive and accurate predictive tool to determine the invasiveness of GGNs prior to surgery and assist clinicians in creating personalized treatment strategies. |
topic |
Lung adenocarcinoma Ground-glass nodules Computed tomography Radiomics Nomogram |
url |
http://www.sciencedirect.com/science/article/pii/S1936523320304289 |
work_keys_str_mv |
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