Research Paper Volume 12, Issue 14 pp 14593—14619
Radiomics-based prediction of survival in patients with head and neck squamous cell carcinoma based on pre- and post-treatment 18F-PET/CT
- 1 Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu 610041, China
- 2 Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, China
- 3 Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
Received: March 11, 2020 Accepted: June 4, 2020 Published: July 16, 2020
https://doi.org/10.18632/aging.103508How to Cite
Abstract
Background: 18-fluorodeoxyglucose positron emission tomography/computed tomography (18F-PET/CT) has been widely applied for the imaging of head and neck squamous cell carcinoma (HNSCC). This study examined whether pre- and post-treatment 18F-PET/CT features can help predict the survival of HNSCC patients.
Results: Three radiomics features were identified as prognostic factors. Radiomics score calculated from these features significantly predicted overall survival (OS) and disease-free disease (DFS). The clinicopathological characteristics combined with pre- or post-treatment nomograms showed better ROC curves and decision curves than the nomogram based only on clinicopathological characteristics.
Conclusions: Combining clinicopathological characteristics with radiomics features of pre-treatment PET/CT or post-treatment PET/CT assessment of primary tumor sites as positive or negative may substantially improve prediction of OS and DFS of HNSCC patients.
Methods: 171 patients who received pre-treatment 18F-PET/CT scans and 154 patients who received post-treatment 18F-PET/CT scans with HNSCC in the Cancer Imaging Achieve (TCIA) were included. Nomograms that combined clinicopathological features with either pre-treatment PET/CT radiomics features or post-treatment assessment of primary tumor sites were constructed using data from 154 HNSCC patients. Receiver operating characteristic (ROC) curves and decision curves were used to compare the predictions of these models with those of a model incorporating only clinicopathological features.
Abbreviations
AJCC: American Joint Committee on Cancer; BMI: body mass index; CT: computed tomography; C-index: the concordance index; DCA: Decision Curve Analysis; DFS: disease-free survival; 18F-FDG PET/CT: fluorine-18-fluorodeoxyglucose tomography/computed tomography; HNSCC: head and neck squamous cell carcinoma; HR: Hazard ratio; LASSO: The least absolute shrinkage and selection operator; MTV: metabolic tumor value; MRI: magnetic resonance imaging; OS: overall survival; ROC: receiver operating characteristic; SUV: standardized uptake values; TLG: total lesion glycolysis.