Evaluation of CT-based radiomics signature and nomogram as prognostic markers in patients with laryngeal squamous cell carcinoma

被引:31
|
作者
Chen, Linyan [1 ,2 ]
Wang, Haiyang [3 ]
Zeng, Hao [1 ,2 ]
Zhang, Yi [1 ,2 ]
Ma, Xuelei [1 ,2 ]
机构
[1] Sichuan Univ, West China Hosp, State Key Lab Biotherapy, Dept Biotherapy,Canc Ctr, 37 Guoxue Alley, Chengdu 610041, Peoples R China
[2] Collaborat Innovat Ctr, 37 Guoxue Alley, Chengdu 610041, Peoples R China
[3] Sichuan Univ, West China Hosp, Dept Otolaryngol Head & Neck Surg, Chengdu, Peoples R China
关键词
Laryngeal cancer; Head and neck cancer; Nomograms; Prognosis; AMERICAN JOINT COMMITTEE; TEXTURE ANALYSIS; TUMOR HETEROGENEITY; CANCER; SURVIVAL; HEAD; FEATURES; ASSOCIATION; PREDICTION; SELECTION;
D O I
10.1186/s40644-020-00310-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background The aim of this study was to evaluate the prognostic value of radiomics signature and nomogram based on contrast-enhanced computed tomography (CT) in patients after surgical resection of laryngeal squamous cell carcinoma (LSCC). Methods All patients (n = 136) were divided into the training cohort (n = 96) and validation cohort (n = 40). The LASSO regression method was performed to construct radiomics signature from CT texture features. Then a radiomics nomogram incorporating the radiomics signature and clinicopathologic factors was established to predict overall survival (OS). The validation of nomogram was evaluated by calibration curve, concordance index (C-index) and decision curve. Results Based on three selected texture features, the radiomics signature showed high C-indexes of 0.782 (95%CI: 0.656-0.909) and 0.752 (95%CI, 0.614-0.891) in the two cohorts. The radiomics nomogram had significantly better discrimination capability than cancer staging in the training cohort (C-index, 0.817 vs. 0.682; P = 0.009) and validation cohort (C-index, 0.913 vs. 0.699; P = 0.019), as well as a good agreement between predicted and actual survival in calibration curves. Decision curve analysis also suggested improved clinical utility of radiomics nomogram. Conclusions Radiomics signature and nomogram showed favorable prediction accuracy for OS, which might facilitate the individualized risk stratification and clinical decision-making in LSCC patients.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Evaluation of CT-based radiomics signature and nomogram as prognostic markers in patients with laryngeal squamous cell carcinoma
    Linyan Chen
    Haiyang Wang
    Hao Zeng
    Yi Zhang
    Xuelei Ma
    [J]. Cancer Imaging, 20
  • [2] Evaluation of CT-based radiomics in patients with renal cell carcinoma
    Zhao, A.
    Yan, J.
    Xu, Y.
    Li, G.
    Cheng, X.
    [J]. ANNALS OF ONCOLOGY, 2019, 30
  • [3] Clinical application of CT-based radiomics model in differentiation between laryngeal squamous cell carcinoma and squamous cell hyperplasia
    Cui, Fengzhi
    Khodrog, Osama A.
    Liu, Wei
    Liu, Jianhua
    Yuan, Qinghai
    [J]. FRONTIERS IN MEDICINE, 2024, 10
  • [4] External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma
    Leijenaar, Ralph T. H.
    Carvalho, Sara
    Hoebers, Frank J. P.
    Aerts, Hugo J. W. L.
    Van Elmpt, Wouter J. C.
    Huang, Shao Hui
    Chan, Biu
    Waldron, John N.
    O'Sullivan, Brian
    Lambin, Philippe
    [J]. ACTA ONCOLOGICA, 2015, 54 (09) : 1423 - 1429
  • [5] CT-Based Radiomics Signature for the Preoperative Discrimination Between Head and Neck Squamous Cell Carcinoma Grades
    Wu, Wenli
    Ye, Junyong
    Wang, Qi
    Luo, Jin
    Xu, Shengsheng
    [J]. FRONTIERS IN ONCOLOGY, 2019, 9
  • [6] A CT-Based Deep Learning Radiomics Nomogram to Predict Histological Grades of Head and Neck Squamous Cell Carcinoma
    Zheng, Ying-mei
    Che, Jun-yi
    Yuan, Ming-gang
    Wu, Zeng-jie
    Pang, Jing
    Zhou, Rui-zhi
    Li, Xiao-li
    Dong, Cheng
    [J]. ACADEMIC RADIOLOGY, 2023, 30 (08) : 1591 - 1599
  • [7] CT-based radiomics features in the prediction of thyroid cartilage invasion from laryngeal and hypopharyngeal squamous cell carcinoma
    Guo, Ran
    Guo, Jian
    Zhang, Lichen
    Qu, Xiaoxia
    Dai, Shuangfeng
    Peng, Ruchen
    Chong, Vincent F. H.
    Xian, Junfang
    [J]. CANCER IMAGING, 2020, 20 (01)
  • [8] CT-based radiomics features in the prediction of thyroid cartilage invasion from laryngeal and hypopharyngeal squamous cell carcinoma
    Ran Guo
    Jian Guo
    Lichen Zhang
    Xiaoxia Qu
    Shuangfeng Dai
    Ruchen Peng
    Vincent F. H. Chong
    Junfang Xian
    [J]. Cancer Imaging, 20
  • [9] A CT-based radiomics nomogram for differentiation of squamous cell carcinoma and non-Hodgkin’s lymphoma of the palatine tonsil
    Cheng Dong
    Ying-mei Zheng
    Jian Li
    Zeng-jie Wu
    Zhi-tao Yang
    Xiao-li Li
    Wen-jian Xu
    Da-peng Hao
    [J]. European Radiology, 2022, 32 : 243 - 253
  • [10] A CT-based Deep Learning Radiomics Nomogram for the Prediction of EGFR Mutation Status in Head and Neck Squamous Cell Carcinoma
    Zheng, Ying-mei
    Pang, Jing
    Liu, Zong-jing
    Yuan, Ming-gang
    Li, Jie
    Wu, Zeng-jie
    Jiang, Yan
    Dong, Cheng
    [J]. ACADEMIC RADIOLOGY, 2024, 31 (02) : 628 - 638