Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images

van Timmeren Janna E.; Leijenaar Ralph T. H.; van Elmpt Wouter; Reymen Bart; Oberije Cary; Monshouwer Rene; Bussink Johan; Brink Carsten; Hansen Olfred; Lambin Philippe

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Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images

机译：非小细胞肺癌患者的生存预测锥形梁CT图像的辐射胶质分析

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摘要

Background and purpose: In this study we investigated the interchangeability of planning CT and cone beam CT (CBCT) extracted radiomic features. Furthermore, a previously described CT based prognostic radiomic signature for non-small cell lung cancer (NSCLC) patients using CBCT based features was validated.

机译：背景和目的：在这项研究中，我们研究了规划CT和锥形光束CT（CBCT）提取的射出物特征的互换性。此外，验证了使用基于CBCT基于CBCT基于CBCT基于CBCT基于CBCT的特征的非小细胞肺癌（NSCLC）患者的基于CT的基于CT的基于CT的预后射出物签名。

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来源
《Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology》 |2017年第3期|共7页
作者
van Timmeren Janna E.; Leijenaar Ralph T. H.; van Elmpt Wouter; Reymen Bart; Oberije Cary; Monshouwer Rene; Bussink Johan; Brink Carsten; Hansen Olfred; Lambin Philippe;
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作者单位

Maastricht Univ Med Ctr GROW Sch Oncol &

Dev Biol Dept Radiat Oncol MAASTRO Maastricht;

Maastricht Univ Med Ctr GROW Sch Oncol &

Dev Biol Dept Radiat Oncol MAASTRO Maastricht;

Maastricht Univ Med Ctr GROW Sch Oncol &

Dev Biol Dept Radiat Oncol MAASTRO Maastricht;

Maastricht Univ Med Ctr GROW Sch Oncol &

Dev Biol Dept Radiat Oncol MAASTRO Maastricht;

Maastricht Univ Med Ctr GROW Sch Oncol &

Dev Biol Dept Radiat Oncol MAASTRO Maastricht;

Radboud Univ Nijmegen Med Ctr Dept Radiat Oncol Nijmegen Netherlands;

Radboud Univ Nijmegen Med Ctr Dept Radiat Oncol Nijmegen Netherlands;

Univ Southern Denmark Inst Clin Res Odense Denmark;

Univ Southern Denmark Inst Clin Res Odense Denmark;

Maastricht Univ Med Ctr GROW Sch Oncol &

Dev Biol Dept Radiat Oncol MAASTRO Maastricht;

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原文格式 PDF
正文语种 eng
中图分类肿瘤学;
关键词
Radiomics; Computed tomography; Cone-beam CT; Non-small cell lung cancer; Survival prediction;

机译：辐射瘤;计算断层扫描;锥梁CT;非小细胞肺癌;生存预测;

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2. Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images [J] . van Timmeren Janna E., Leijenaar Ralph T. H., van Elmpt Wouter, Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology . 2017,第3期

机译：非小细胞肺癌患者的生存预测锥形梁CT图像的辐射胶质分析
3. Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery [J] . Margarita Kirienko, Luca Cozzi, Lidija Antunovic, European Journal of Nuclear Medicine and Molecular Imaging . 2018,第2期

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4. Prediction of Overall Survival of Patients with Completely Resected Non-Small Cell Lung Cancer: Analyses of Preoperative Spirometry, Preoperative Blood Tests, and Other Clinicopathological Data [J] . Mengkun Shi, Cheng Zhan, Jialun Shi, Cancer Management and Research . 2019,第4期

机译：完全切除非小细胞肺癌患者整体存活的预测：术前肺活量，术前血液检测和其他临床病理数据分析
5. Radiomics Biomarkers from PET/CT Multi-modality Fusion Images for the Prediction of Immunotherapy Response in Advanced Non-small Cell Lung Cancer Patients [C] . Wei Mu, Jin Qi, Hong Lu, SPIE Medical Imaging Conference . 2018

机译：PET / CT多模态融合图像的放射性标记生物标志物用于预测晚期非小细胞肺癌患者的免疫治疗反应
6. An investigation of the determinates of survival in patients with inoperable non-small cell lung cancer: The role of the systemic inflammatory response [D] . Forrest, Lynn M. 2004

机译：不可手术的非小细胞肺癌患者生存决定因素的研究：全身炎症反应的作用
7. Longitudinal radiomics of cone-beam CT images from non-small cell lung cancer patients: Evaluation of the added prognostic value for overall survival and locoregional recurrence [O] . Janna E. van Timmeren, Wouter van Elmpt, Ralph T.H. Leijenaar, -1

机译：非小细胞肺癌患者的锥形束CT图像的纵向放射学：评估总体生存率和局部复发的附加预后价值
8. Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images [O] . van Timmeren Janna E, Leijenaar Ralph T H, van Elmpt Wouter, 2017

机译：锥形束CT图像的放射学分析对非小细胞肺癌患者的生存预测

Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images

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