Radiomics-based prediction of survival in patients with head and neck squamous cell carcinoma based on pre- and post-treatment 18F-PET/CT

被引:0
|
作者
Liu, Zheran [1 ]
Cao, Yuan [2 ]
Diao, Wei [2 ]
Cheng, Yue [3 ]
Jia, Zhiyun [2 ]
Peng, Xingchen [1 ]
机构
[1] Sichuan Univ, Canc Ctr, Dept Biotherapy, West China Hosp, Chengdu 610041, Peoples R China
[2] Sichuan Univ, West China Hosp, Dept Nucl Med, Chengdu 610041, Peoples R China
[3] Sichuan Univ, Dept Radiol, West China Hosp, Chengdu 610041, Peoples R China
来源
AGING-US | 2020年 / 12卷 / 14期
基金
中国国家自然科学基金;
关键词
F-18-PET/CT; head and neck squamous cell carcinoma; radiomics; prognosis; machine learning; POSITRON-EMISSION-TOMOGRAPHY; METABOLIC TUMOR VOLUME; ORAL-CAVITY; F-18-FDG PET/CT; CANCER; MRI; SIGNATURE; INDEXES; IMAGES;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Background: 18-fluorodeoxyglucose positron emission tomography/computed tomography (F-18-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 F-18-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 F-18-PET/CT scans and 154 patients who received post-treatment F-18-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.
引用
收藏
页码:14593 / 14619
页数:27
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