Support vector machine-based prediction of local tumor control after stereotactic body radiation therapy for early-stage non-small cell lung cancer.
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Matthias Guckenberger | Ursula Nestle | Michael Allgäuer | Florian Sterzing | Iris Ernst | Karin Dieckmann | Ute Ganswindt | Andrea Wittig | F. Sterzing | M. Guckenberger | K. Dieckmann | N. Andratschke | R. Holý | U. Nestle | M. Nevinny-Stickel | U. Ganswindt | S. Appold | A. Wittig | R. Klement | Rainer J Klement | Nicolaus Andratschke | Richard Holy | Meinhard Nevinny-Stickel | Sabine Semrau | M. Allgäuer | Steffen Appold | I. Ernst | S. Semrau
[1] D. Hirst,et al. Molecular biology: the key to personalised treatment in radiation oncology? , 2010, The British journal of radiology.
[2] H. Rix,et al. CLASSIFICATION OF FIELD DWARFS AND GIANTS IN RAVE AND ITS USE IN STELLAR STREAM DETECTION , 2010, 1010.3697.
[3] T. Araki,et al. Stereotactic hypofractionated high‐dose irradiation for stage I nonsmall cell lung carcinoma , 2004, Cancer.
[4] J. Fowler,et al. Stereotactic Body Radiation Therapy in Non–Small-Cell Lung Cancer: Linking Radiobiological Modeling and Clinical Outcome , 2011, American journal of clinical oncology.
[5] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[6] Issam El Naqa,et al. Machine learning methods for predicting tumor response in lung cancer , 2012 .
[7] U. Kämmerer,et al. Is there a role for carbohydrate restriction in the treatment and prevention of cancer? , 2011, Nutrition & metabolism.
[8] A. Fischman,et al. Dose-response relationship between probability of pathologic tumor control and glucose metabolic rate measured with FDG PET after preoperative chemoradiotherapy in locally advanced non-small-cell lung cancer. , 2002, International journal of radiation oncology, biology, physics.
[9] Joseph O Deasy,et al. A Bayesian network approach for modeling local failure in lung cancer , 2011, Physics in medicine and biology.
[10] F. Sterzing,et al. Safety and Efficacy of Stereotactic Body Radiotherapy for Stage I Non–Small-Cell Lung Cancer in Routine Clinical Practice: A Patterns-of-Care and Outcome Analysis , 2013, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.
[11] E. DeLong,et al. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.
[12] Stephen Kwek,et al. Applying Support Vector Machines to Imbalanced Datasets , 2004, ECML.
[13] P Okunieff,et al. Radiation dose-response of human tumors. , 1995, International journal of radiation oncology, biology, physics.
[14] Xavier Robin,et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves , 2011, BMC Bioinformatics.
[15] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[16] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[17] G Starkschall,et al. Respiratory-driven lung tumor motion is independent of tumor size, tumor location, and pulmonary function. , 2001, International journal of radiation oncology, biology, physics.
[18] Suresh Senan,et al. Outcomes of stereotactic ablative radiotherapy for central lung tumours: a systematic review. , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[19] Kurt Baier,et al. Dose-response in stereotactic irradiation of lung tumors. , 2005, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[20] P. Lambin,et al. Predicting outcomes in radiation oncology—multifactorial decision support systems , 2013, Nature Reviews Clinical Oncology.
[21] Angelika Hoess,et al. Stereotactic single‐dose radiotherapy (radiosurgery) of early stage nonsmall‐cell lung cancer (NSCLC) , 2007, Cancer.
[22] Pavel Stavrev,et al. Computed 88% TCP dose for SBRT of NSCLC from tumour hypoxia modelling , 2012, Physics in medicine and biology.
[23] J. Deasy,et al. Datamining approaches for modeling tumor control probability , 2010, Acta oncologica.
[24] Carsten Peterson,et al. Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy , 2008, Breast Cancer Research.
[25] Yan Zhang,et al. Molecular Prognostic Prediction for Locally Advanced Nasopharyngeal Carcinoma by Support Vector Machine Integrated Approach , 2012, PloS one.
[26] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[27] M. Stuschke,et al. Altered fractionation schemes in radiotherapy. , 2010, Frontiers of radiation therapy and oncology.
[28] J. Deasy,et al. Combining multiple models to generate consensus: application to radiation-induced pneumonitis prediction. , 2008, Medical physics.
[29] Matthias Guckenberger,et al. Dose-response relationship for image-guided stereotactic body radiotherapy of pulmonary tumors: relevance of 4D dose calculation. , 2009, International journal of radiation oncology, biology, physics.
[30] Jan-Jakob Sonke,et al. Modeling local control after hypofractionated stereotactic body radiation therapy for stage I non-small cell lung cancer: a report from the elekta collaborative lung research group. , 2012, International journal of radiation oncology, biology, physics.
[31] Y. Onodera,et al. Steep dose-response relationship for stage I non-small-cell lung cancer using hypofractionated high-dose irradiation by real-time tumor-tracking radiotherapy. , 2008, International journal of radiation oncology, biology, physics.
[32] Sayan Mukherjee,et al. Assessing the Radiation Response of Lung Cancer with Different Gene Mutations Using Genetically Engineered Mice , 2013, Front. Oncol..
[33] K. Miles,et al. Warburg revisited: imaging tumour blood flow and metabolism , 2008, Cancer imaging : the official publication of the International Cancer Imaging Society.
[34] F. Yin,et al. Investigation of the support vector machine algorithm to predict lung radiation-induced pneumonitis. , 2007, Medical physics.
[35] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.