Heterogeneity in tumours: Validating the use of radiomic features on F-18-FDG PET/CT scans of lung cancer patients as a prognostic tool

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Heterogeneity in tumours: Validating the use of radiomic features on F-18-FDG PET/CT scans of lung cancer patients as a prognostic tool

机译：肿瘤中的异质性：验证在肺癌患者的F-18-FDG PET / CT扫描上的辐射瘤特征的使用作为预后工具

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Aim: The aim was to validate promising radiomic features (RFs)(1) on F-18-flourodeoxyglucose positron emission tomography/computed tomography-scans (F-18-FDG PET/CT) of non-small cell lung cancer (NSCLC) patients undergoing definitive chemo-radiotherapy.

机译：目的：目的是验证非小细胞肺癌（NSCLC）的F-18-氟氧基葡萄糖/计算断层扫描（F-18-FDG PET / CT）的F-18-氟氧基葡萄糖/计算断层扫描（F-18-FDG PET / CT）上的有前途的射线特征（RFS）（1）患者接受明确的化疗放射疗法。

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《Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology》 |2020年第2020期|共7页
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正文语种 eng
中图分类肿瘤学;
关键词
Positron Emission Tomography Computed; Tomography; Carcinoma; Non Small Cell Lung; Prognosis; Texture features; Heterogeneity; Radiomics;

机译：正电子发射断层扫描计算;断层扫描;癌;非小细胞肺;预后;纹理特征;异质性;辐射瘤;

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1. Heterogeneity in tumours: Validating the use of radiomic features on F-18-FDG PET/CT scans of lung cancer patients as a prognostic tool [J] . Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology . 2020,第期

机译：肿瘤中的异质性：验证在肺癌患者的F-18-FDG PET / CT扫描上的辐射瘤特征的使用作为预后工具
2. Do clinical, histological or immunohistochemical primary tumour characteristics translate into different F-18-FDG PET/CT volumetric and heterogeneity features in stage II/III breast cancer? [J] . Groheux David, Majdoub Mohamed, Tixier Florent, European Journal of Nuclear Medicine and Molecular Imaging . 2015,第11期

机译：临床，组织学或免疫组化的原发性肿瘤特征会转化为II / III期乳腺癌的不同F-18-FDG PET / CT体积和异质性特征吗？
3. Pretreatment F-18-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non-Small Cell Lung Cancer: A Multicentric Study [J] . Dissaux Gurvan, Visvikis Dimitris, Da-ano Ronrick, The Journal of Nuclear Medicine . 2020,第6期

机译：预处理F-18-FDG PET / CT辐射瘤预测患者对患者的局部复发，用于早期非小细胞肺癌治疗的型态体放射治疗：多中心研究
4. Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network [C] . H. Kamezawa, H. Arimura, M. Soufi SPIE Medical Imaging Conference . 2018

机译：利用人工神经网络从肺癌患者的放射学特征中预测鳞状细胞癌的生存率
5. Evaluating the Effect of Right-censored Endpoint Transformation for Dimensionality Reduction of Radiomic Features of Oropharyngeal Cancer Patients [D] . Zdilar, Luka. 2018

机译：评估右裁定终点转化对口咽癌症患者的射出质量的维度降低的影响
6. Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer [O] . Shima Sepehri, Olena Tankyevych, Taman Upadhaya, 2021

机译：机器学习算法的比较与融合PET / CT辐射辐射术的前瞻性验证II-III期非小细胞肺癌预后价值
7. Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer [O] . Shima Sepehri, Olena Tankyevych, Taman Upadhaya, 2021

机译：机器学习算法的比较与融合PET / CT辐射辐射术的前瞻性验证II-III期非小细胞肺癌预后价值

Heterogeneity in tumours: Validating the use of radiomic features on F-18-FDG PET/CT scans of lung cancer patients as a prognostic tool

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