相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。CT Radiomics Signature of Tumor and Peritumoral Lung Parenchyma to Predict Nonsmall Cell Lung Cancer Postsurgical Recurrence Risk
Tugba Akinci D'Antonoli et al.
ACADEMIC RADIOLOGY (2020)
Projected estimates of cancer in Canada in 2020
Darren R. Brenner et al.
CANADIAN MEDICAL ASSOCIATION JOURNAL (2020)
The Application of Deep Learning in Cancer Prognosis Prediction
Wan Zhu et al.
CANCERS (2020)
Cone-beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients
Qingjin Qin et al.
THORACIC CANCER (2020)
Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics
Laurent Dercle et al.
CLINICAL CANCER RESEARCH (2020)
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Alex Zwanenburg et al.
RADIOLOGY (2020)
Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers
S. Trebeschi et al.
ANNALS OF ONCOLOGY (2019)
Novel clinical and radiomic predictors of rapid disease progression phenotypes among lung cancer patients treated with immunotherapy: An early report
Ilke Tunali et al.
LUNG CANCER (2019)
Hyperprogressive disease: a distinct effect of immunotherapy?
Vinita Popat et al.
JOURNAL OF THORACIC DISEASE (2019)
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging
Yiwen Xu et al.
CLINICAL CANCER RESEARCH (2019)
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
Diego Ardila et al.
NATURE MEDICINE (2019)
Google's lung cancer AI: a promising tool that needs further validation
Colin Jacobs et al.
NATURE REVIEWS CLINICAL ONCOLOGY (2019)
Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics
Janna E. van Timmeren et al.
PLOS ONE (2019)
Circulating biomarkers predictive of tumor response to cancer immunotherapy
Ernest Y. Lee et al.
EXPERT REVIEW OF MOLECULAR DIAGNOSTICS (2019)
Radiomics for the prediction of EGFR mutation subtypes in non-small cell lung cancer
Shu Li et al.
MEDICAL PHYSICS (2019)
Bone Marrow and Tumor Radiomics at 18F-FDG PET/CT: Impact on Outcome Prediction in Non-Small Cell Lung Cancer
Sarah A. Mattonen et al.
RADIOLOGY (2019)
Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies
Nasrullah Nasrullah et al.
SENSORS (2019)
Deep segmentation networks predict survival of non-small cell lung cancer
Stephen Baek et al.
SCIENTIFIC REPORTS (2019)
Machine Learning and Feature Selection Methods for Disease Classification With Application to Lung Cancer Screening Image Data
Darcie A. P. Delzell et al.
FRONTIERS IN ONCOLOGY (2019)
A Machine Learning Algorithm for Predicting Therapeutic Response to Anti-PD1
Yuanliang Yan et al.
TECHNOLOGY IN CANCER RESEARCH & TREATMENT (2019)
Association of pre-treatment radiomic features with lung cancer recurrence following stereotactic body radiation therapy
Kyle J. Lafata et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
Role of artificial intelligence in the care of patients with nonsmall cell lung cancer
Mohamad Rabbani et al.
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION (2018)
A Quantitative CT Imaging Signature Predicts Survival and Complements Established Prognosticators in Stage I Non-Small Cell Lung Cancer
Juheon Lee et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)
Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images
Anum Masood et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy
Anastasia Oikonomou et al.
SCIENTIFIC REPORTS (2018)
The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis
Shane P. Krafft et al.
MEDICAL PHYSICS (2018)
Early tumor response prediction for lung cancer patients using novel longitudinal pattern features from sequential PET/CT image scans
Giulia Buizza et al.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS (2018)
Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer
Constance A. Owens et al.
PLOS ONE (2018)
Stereotactic Body Radiation Therapy for Early-Stage Non-Small Cell Lung Cancer: A Primer for Radiologists
Jennifer A. Febbo et al.
RADIOGRAPHICS (2018)
Hyperprogressive Disease in Patients With Advanced Non-Small Cell Lung Cancer Treated With PD-1/PD-L1 Inhibitors or With Single-Agent Chemotherapy
Roberto Ferrara et al.
JAMA ONCOLOGY (2018)
Automated detection of lung cancer at ultralow dose PET/CT by deep neural networks - Initial results
Moritz Schwyzer et al.
LUNG CANCER (2018)
Hyperprogressive Disease Is a New Pattern of Progression in Cancer Patients Treated by Anti-PD-1/PD-L1
Stephane Champiat et al.
CLINICAL CANCER RESEARCH (2017)
The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies
Isaac Shiri et al.
EUROPEAN RADIOLOGY (2017)
IFN-γ-related mRNA profile predicts clinical response to PD-1 blockade
Mark Ayers et al.
JOURNAL OF CLINICAL INVESTIGATION (2017)
Changes in Computer Extracted Features of Vessel Tortuosity on CT Scans Post-Treatment in Responders Compared to Non-Responders for Non-Small Cell Lung Cancer on Immunotherapy
V. Velcheti et al.
JOURNAL OF THORACIC ONCOLOGY (2017)
Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC
Thibaud P. Coroller et al.
JOURNAL OF THORACIC ONCOLOGY (2017)
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Arnaud Arindra Adiyoso Setio et al.
MEDICAL IMAGE ANALYSIS (2017)
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin et al.
NATURE REVIEWS CLINICAL ONCOLOGY (2017)
Durvalumab after Chemoradiotherapy in Stage III Non-Small-Cell Lung Cancer
S. J. Antonia et al.
NEW ENGLAND JOURNAL OF MEDICINE (2017)
Multi-objective radiomics model for predicting distant failure in lung SBRT
Zhiguo Zhou et al.
PHYSICS IN MEDICINE AND BIOLOGY (2017)
CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy
Qian Li et al.
RADIATION ONCOLOGY (2017)
Influence of gray level discretization on radiomic feature stability for different CT scanners, tube currents and slice thicknesses: a comprehensive phantom study
Ruben T. H. M. Larue et al.
ACTA ONCOLOGICA (2017)
Radiomics-based Assessment of Radiation-induced Lung Injury After Stereotactic Body Radiotherapy
Angel Moran et al.
CLINICAL LUNG CANCER (2017)
A review of lung cancer screening and the role of computer-aided detection
B. Al Mohammad et al.
CLINICAL RADIOLOGY (2017)
Predictive factors of symptomatic radiation pneumonitis in primary and metastatic lung tumors treated with stereotactic ablative body radiotherapy
Kangpyo Kim et al.
RADIATION ONCOLOGY JOURNAL (2017)
Recommendations on screening for lung cancer
Gabriela Lewin et al.
CANADIAN MEDICAL ASSOCIATION JOURNAL (2016)
Validation of High-Risk Computed Tomography Features for Detection of Local Recurrence After Stereotactic Body Radiation Therapy for Early-Stage Non-Small Cell Lung Cancer
Heike Peulen et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2016)
Detection of Local Cancer Recurrence After Stereotactic Ablative Radiation Therapy for Lung Cancer: Physician Performance Versus Radiomic Assessment
Sarah A. Mattonen et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2016)
Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer
Yanqi Huang et al.
RADIOLOGY (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
A Rapid Segmentation-Insensitive Digital Biopsy Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung Cancer
Sebastian Echegaray et al.
TOMOGRAPHY (2016)
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
Karel G. M. Moons et al.
ANNALS OF INTERNAL MEDICINE (2015)
Predictive biomarkers in PD-1/PD-L1 checkpoint blockade immunotherapy
Xiangjiao Meng et al.
CANCER TREATMENT REVIEWS (2015)
Measuring Computed Tomography Scanner Variability of Radiomics Features
Dennis Mackin et al.
INVESTIGATIVE RADIOLOGY (2015)
Programmed Death-Ligand 1 Immunohistochemistry in Lung Cancer In what state is this art?
Keith M. Kerr et al.
JOURNAL OF THORACIC ONCOLOGY (2015)
Pembrolizumab for the Treatment of Non-Small-Cell Lung Cancer
Edward B. Garon et al.
NEW ENGLAND JOURNAL OF MEDICINE (2015)
Textural features in pre-treatment [F18]-FDG-PET/CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy
Thomas Pyka et al.
RADIATION ONCOLOGY (2015)
A new CT-based method to quantify radiation-induced lung damage in patients
Ghazaleh Ghobadi et al.
RADIOTHERAPY AND ONCOLOGY (2015)
CT characteristics allow identification of patient-specific susceptibility for radiation-induced lung damage
Gilles Defraene et al.
RADIOTHERAPY AND ONCOLOGY (2015)
Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer
Naiyer A. Rizvi et al.
SCIENCE (2015)
Support Vector Machine-Based Prediction of Local Tumor Control After Stereotactic Body Radiation Therapy for Early-Stage Non-Small Cell Lung Cancer
Rainer J. Klement et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2014)
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
Chintan Parmar et al.
PLOS ONE (2014)
Predicting Esophagitis After Chemoradiation Therapy for Non-Small Cell Lung Cancer: An Individual Patient Data Meta-Analysis
David A. Palma et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2013)
Predicting Radiation Pneumonitis After Chemoradiation Therapy for Lung Cancer: An International Individual Patient Data Meta-analysis
David A. Palma et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2013)
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Kenneth Clark et al.
JOURNAL OF DIGITAL IMAGING (2013)
A semiautomatic CT-based ensemble segmentation of lung tumors: Comparison with oncologists' delineations and with the surgical specimen
Emmanuel Rios Velazquez et al.
RADIOTHERAPY AND ONCOLOGY (2012)
Prognostic and predictive factors for lung cancer
Marianne Paesmans
BREATHE (2012)
Radiological Changes After Stereotactic Radiotherapy for Stage I Lung Cancer
Max Dahele et al.
JOURNAL OF THORACIC ONCOLOGY (2011)
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
Denise R. Aberle et al.
NEW ENGLAND JOURNAL OF MEDICINE (2011)
Possible misinterpretation of demarcated solid patterns of radiation fibrosis on CT scans as tumor recurrence in patients receiving hypofractionated stereotactic radiotherapy for lung cancer
Atsuya Takeda et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2008)
The tumor microenvironment and its role in promoting tumor growth
T. L. Whiteside
ONCOGENE (2008)
Radiation pneumonitis and pulmonary fibrosis in non-small-cell lung cancer: Pulmonary function, prediction, and prevention
V Mehta
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2005)
分享论文
