Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter

EJNMMI Research

Cheng Chang¹  Ciyi Liu¹  Liu Liu¹  Maomei Ruan¹  Lihua Wang¹  Wenhui Xie¹  Bei Lei¹  Hui Yan¹  Wenlu Zhao²  Hong Yu³  Jian Feng⁴  Yaqiong Ge⁵  Shaofeng Duan⁵  Xiaohua Qian⁶  Wenjing Teng⁷  Qianfu Wu⁷ 

[1] Department of Nuclear Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University;Department of Radiology, Second Affiliated Hospital of Soochow University;Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University;Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University;GE Healthcare China;Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University;Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine;

关键词: CT;    PET/CT;    Radiomics;    Lymph node metastasis;    Lung adenocarcinoma;   

DOI  :  10.1186/s13550-022-00895-x

来源: DOAJ

【 摘 要 】

Abstract Background To investigate the value of 18F-FDG PET/CT molecular radiomics combined with a clinical model in predicting thoracic lymph node metastasis (LNM) in invasive lung adenocarcinoma (≤ 3 cm). Methods A total of 528 lung adenocarcinoma patients were enrolled in this retrospective study. Five models were developed for the prediction of thoracic LNM, including PET radiomics, CT radiomics, PET/CT radiomics, clinical and integrated PET/CT radiomics-clinical models. Ten PET/CT radiomics features and two clinical characteristics were selected for the construction of the integrated PET/CT radiomics-clinical model. The predictive performance of all models was examined by receiver operating characteristic (ROC) curve analysis, and clinical utility was validated by nomogram analysis and decision curve analysis (DCA). Results According to ROC curve analysis, the integrated PET/CT molecular radiomics-clinical model outperformed the clinical model and the three other radiomics models, and the area under the curve (AUC) values of the integrated model were 0.95 (95% CI: 0.93–0.97) in the training group and 0.94 (95% CI: 0.89–0.97) in the test group. The nomogram analysis and DCA confirmed the clinical application value of this integrated model in predicting thoracic LNM. Conclusions The integrated PET/CT molecular radiomics-clinical model proposed in this study can ensure a higher level of accuracy in predicting the thoracic LNM of clinical invasive lung adenocarcinoma (≤ 3 cm) compared with the radiomics model or clinical model alone.

【 授权许可】

Unknown