Unsupervised Machine Learning of Radiomic Features for Predicting Treatment Response and Survival of Early-Stage Nonsmall Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy

Li H.; Galperin-Aizenberg M.; Pryma D. A.; Simone C. B. II; Fan Y.

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Unsupervised Machine Learning of Radiomic Features for Predicting Treatment Response and Survival of Early-Stage Nonsmall Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy

机译：无监督机器学习辐射特征，用于预测患有立体定向体放射治疗的早期非球体细胞肺癌患者的治疗响应和存活

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《International Journal of Radiation Oncology, Biology, Physics》 |2017年第2suppla期|共1页
作者
Li H.; Galperin-Aizenberg M.; Pryma D. A.; Simone C. B. II; Fan Y.;
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作者单位

Univ Penn Dept Radiol Philadelphia PA 19104 USA;

Univ Penn Dept Radiol Philadelphia PA 19104 USA;

Univ Penn Dept Radiol Philadelphia PA 19104 USA;

Univ Maryland Med Ctr Baltimore MD 21201 USA;

Univ Penn Dept Radiol Philadelphia PA 19104 USA;

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正文语种 eng
中图分类放射医学;
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1. Unsupervised Machine Learning of Radiomic Features for Predicting Treatment Response and Survival of Early-Stage Nonsmall Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy [J] . Li H., Galperin-Aizenberg M., Pryma D. A., International Journal of Radiation Oncology, Biology, Physics . 2017,第2Suppla期

机译：无监督机器学习辐射特征，用于预测患有立体定向体放射治疗的早期非球体细胞肺癌患者的治疗响应和存活
2. Pretreatment Immune Parameters Predict for Overall Survival and Toxicity in Early-Stage Non-Small-Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy [J] . Shaverdian Narek, Veruttipong Darlene, Wang Jason, Clinical lung cancer . 2016,第1期

机译：立体定向放疗治疗的早期非小细胞肺癌患者的预处理免疫参数可预测其总生存率和毒性
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. CHANGES IN LUNG PERFUSION DISTRIBUTION DUE TO RADIATION IN LUNG CANCER PATIENTS TREATED WITH 3D CONFORMAL RADIATION THERAPY AND STEREOTACTIC BODY RADIATION THERAPY [C] . Lingshu Yin, Mitchell Liu, Jonn Wu, World Congress on Medical Physics and Biomedical Engineering . 2013

机译：3D保形放射治疗和定性体放射治疗对肺癌患者放射致肺灌注分布的变化
5. Risk of Radiation-Induced Cancers in Patients Treated with Contemporary Radiation Therapy for Early-Stage Lung Cancer [D] . Parashar, Bhupesh. 2021

机译：辐射诱导癌症患者患者的风险，用于早期肺癌治疗当代辐射治疗
6. Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy [O] . Hongming Li, Maya Galperin-Aizenberg, Daniel Pryma, -1

机译：放射学功能的无监督机器学习用于预测接受立体定向放射治疗的早期非小细胞肺癌患者的治疗反应和总体生存率
7. Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy [O] . Hongming Li, Maya Galperin-Aizenberg, Daniel Pryma, 2018

机译：未经监督的机器学习辐射瘤特征，用于预测治疗响应和早期非小细胞肺癌患者的整体辐射治疗患者的整体存活

Unsupervised Machine Learning of Radiomic Features for Predicting Treatment Response and Survival of Early-Stage Nonsmall Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy

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