Academic Journal

Radiomic Feature-Based Nomogram: A Novel Technique to Predict EGFR-Activating Mutations for EGFR Tyrosin Kinase Inhibitor Therapy

التفاصيل البيبلوغرافية
العنوان: Radiomic Feature-Based Nomogram: A Novel Technique to Predict EGFR-Activating Mutations for EGFR Tyrosin Kinase Inhibitor Therapy
المؤلفون: Qiaoyou Weng, Junguo Hui, Hailin Wang, Chuanqiang Lan, Jiansheng Huang, Chun Zhao, Liyun Zheng, Shiji Fang, Minjiang Chen, Chenying Lu, Yuyan Bao, Peipei Pang, Min Xu, Weibo Mao, Zufei Wang, Jianfei Tu, Yuan Huang, Jiansong Ji
المصدر: Frontiers in Oncology, Vol 11 (2021)
بيانات النشر: Frontiers Media S.A., 2021.
سنة النشر: 2021
المجموعة: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
مصطلحات موضوعية: NSCLC, EGFR-activating mutation, clinical features, radiomics, nomogram, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
الوصف: ObjectivesTo develop and validate a radiomic feature-based nomogram for preoperative discriminating the epidermal growth factor receptor (EGFR) activating mutation from wild-type EGFR in non-small cell lung cancer (NSCLC) patients.MaterialA group of 301 NSCLC patients were retrospectively reviewed. The EGFR mutation status was determined by ARMS PCR analysis. All patients underwent nonenhanced CT before surgery. Radiomic features were extracted (GE healthcare). The maximum relevance minimum redundancy (mRMR) and LASSO, were used to select features. We incorporated the independent clinical features into the radiomic feature model and formed a joint model (i.e., the radiomic feature-based nomogram). The performance of the joint model was compared with that of the other two models.ResultsIn total, 396 radiomic features were extracted. A radiomic signature model comprising 9 selected features was established for discriminating patients with EGFR-activating mutations from wild-type EGFR. The radiomic score (Radscore) in the two groups was significantly different between patients with wild-type EGFR and EGFR-activating mutations (training cohort: P
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2234-943X
Relation: https://www.frontiersin.org/articles/10.3389/fonc.2021.590937/full; https://doaj.org/toc/2234-943X
DOI: 10.3389/fonc.2021.590937
URL الوصول: https://doaj.org/article/68f67f8d997a4dfaa52daad12d5b3858
رقم الانضمام: edsdoj.68f67f8d997a4dfaa52daad12d5b3858
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2234943X
DOI:10.3389/fonc.2021.590937