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Different CT slice thickness and contrast‐enhancement phase in radiomics models on the differential performance of lung adenocarcinoma by Yang Wang; Fang Liu; Yan Mo; Chencui Huang; Yingxin Chen; Fuliang Chen; Xiangwei Zhang; Yunxin Yin; Qiang Liu; Lin Zhang is a Medicine article available to read on EtoBox.
What is Different CT slice thickness and contrast‐enhancement phase in radiomics models on the differential performance of lung adenocarcinoma about?
## Abstract ## Background To investigate the effects of computed tomography (CT) reconstruction slice thickness and contrast‐enhancement phase on the differential diagnosis performance of radiomic signature in lung adenocarcinoma. ## Methods A total of 187 patients who had been pathologically confirmed with lung adenocarcinoma and nonadenocarcinoma were divided into a training cohort (__n__ = 149) and validation cohort (__n__ = 38). All the patients underwent contrast‐enhanced CT and the images were reconstructed with different slice thickness. The radiomic features were extracted from different slice thickness and scan phase. The logistic regression (LR) algorithm was used to build a machine learning model for each group. The area under the curve (AUC) obtained from the receiver operating characteristic (ROC) curve and DeLong test was used to evaluate its discriminating performance. ## Results Finally, 34 image features and five semantic features were selected to establish a radiomics model. Based on the three contrast‐enhanced CT phases and four reconstruction slice thickness, 12 groups of radiomics models showed good discrimination ability with the AUCs range from 0.9287 to 0.96
Who reads Different CT slice thickness and contrast‐enhancement phase in radiomics models on the differential performance of lung adenocarcinoma?
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- Author
- Yang Wang; Fang Liu; Yan Mo; Chencui Huang; Yingxin Chen; Fuliang Chen; Xiangwei Zhang; Yunxin Yin; Qiang Liu; Lin Zhang
- Publisher
- Wiley
- Published
- 2022
- Language
- EN
- Field
- Medicine (Health Sciences)