Pretherapy investigations using highly robust visualized biomarkers from CT imaging by multiple machine-learning techniques toward its prognosis prediction for ALK-inhibitor therapy in NSCLC: a feasibility study-Reference-Cited by-同舟云学术

Pretherapy investigations using highly robust visualized biomarkers from CT imaging by multiple machine-learning techniques toward its prognosis prediction for ALK-inhibitor therapy in NSCLC: a feasibility study

Published:2023-03-16 Issue:10 Volume:149 Page:7341-7353
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Sun Jingjing,Li Feng,Yang Jiantao,Lin Chen,Zhou Xianglan,Liu Na,Zhang Bingqian,Song Ge,Wang Wenxian,Huang Chencui,Song Zhengbo,Shi Lei

Funder

Medical Science and Technology Project of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00432-023-04615-3.pdf

Reference32 articles.

1. Atagi S et al (2016) Erlotinib for Japanese patients with activating EGFR mutation-positive non-small-cell lung cancer: combined analyses from two Phase II studies. Future Oncol 12(18):2117–2126. https://doi.org/10.2217/fon-2016-0163

2. Choe J et al (2021) CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma. Eur J Radiol 139:109710. https://doi.org/10.1016/j.ejrad.2021.109710

3. Dietrich S et al (2016) Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis. Int J Epidemiol 45(5):1406–1420. https://doi.org/10.1093/ije/dyw145

4. Dou TH et al (2018) Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC. PLoS One 13(11):e0206108. https://doi.org/10.1371/journal.pone.0206108

5. Efron B (1977) The efficiency of Cox’s likelihood function for censored data. J Am Stat Assoc 72(359):557–565. https://doi.org/10.1080/01621459.1977.10480613