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Radiotherapy

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Big Data and machine learning in radiation oncology: State of the art and future prospects.

Cancer letters Nov 1, 2016
Precision medicine relies on an increasing amount of heterogeneous data. Advances in radiation oncology, through the use of CT Scan, dosimetry and imaging performed before each fraction, have generated a considerable flow of data that needs to be int...
Data Mining Radiotherapy Planning, Computer-Assisted Radiation Dosage Unsupervised Machine Learning Data Interpretation, Statistical Radiation Oncology Radiotherapy Databases, Factual Electronic Health Records Risk Factors Neoplasms Support Vector Machine Biomedical Research Risk Assessment Neural Networks, Computer Machine Learning Decision Support Techniques Humans
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Comparison of Re-irradiation Outcomes for Charged Particle Radiotherapy and Robotic Stereotactic Radiotherapy Using CyberKnife for Recurrent Head and Neck Cancers: A Multi-institutional Matched-cohort Analysis.

Anticancer research Oct 1, 2016
AIM: To compare survival outcomes for charged particle radiotherapy (CP) and stereotactic body radiotherapy using CyberKnife (CK) in patients who had undergone re-irradiation for head and neck cancers.
Aged Aged, 80 and over Young Adult Adult Humans Female Cohort Studies Head and Neck Neoplasms Robotics Radiotherapy Male Middle Aged Adolescent
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Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods.

Medical physics May 1, 2016
PURPOSE: Given the paucity of available data concerning radiotherapy-induced urinary toxicity, it is important to ensure derivation of the most robust models with superior predictive performance. This work explores multiple statistical-learning strat...
Machine Learning Prognosis Aged Aged, 80 and over Humans Neural Networks, Computer Radiotherapy Follow-Up Studies Area Under Curve Prostatic Neoplasms Multivariate Analysis Urination Disorders Severity of Illness Index Prostate Male ROC Curve Models, Biological Logistic Models Middle Aged Comorbidity
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Accelerated partial breast irradiation using robotic radiotherapy: a dosimetric comparison with tomotherapy and three-dimensional conformal radiotherapy.

Radiation oncology (London, England) Feb 27, 2016
BACKGROUND: Accelerated partial breast irradiation (APBI) is a new breast treatment modality aiming to reduce treatment time using hypo fractionation. Compared to conventional whole breast irradiation that takes 5 to 6 weeks, APBI is reported to indu...
Humans Female Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiosurgery Phantoms, Imaging Movement Radiotherapy Radiation Injuries Radiometry Breast Breast Neoplasms Surgical Instruments Radiotherapy Planning, Computer-Assisted Imaging, Three-Dimensional Radiotherapy, Conformal Robotics Respiration
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[Applications of Machine Learning for Radiation Therapy].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics Jan 1, 2016
Radiation therapy has been highly advanced as image guided radiation therapy (IGRT) by making advantage of image engineering technologies. Recently, novel frameworks based on image engineering technologies as well as machine learning technologies hav...
Machine Learning Radiotherapy Radiation Injuries Technology, Radiologic Esophageal Diseases Humans
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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

International journal of radiation oncology, biology, physics Dec 1, 2015
Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) initiative. In recent years, medical modeling for both pr...
Radiation Pneumonitis Artificial Intelligence Xerostomia Machine Learning Treatment Outcome Radiotherapy Dosage Reproducibility of Results Prognosis Support Vector Machine Radiotherapy Lung Neoplasms Models, Statistical Humans Esophagitis Logistic Models Radiation Oncology Neural Networks, Computer
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A method for volumetric imaging in radiotherapy using single x-ray projection.

Medical physics May 1, 2015
PURPOSE: It is an intriguing problem to generate an instantaneous volumetric image based on the corresponding x-ray projection. The purpose of this study is to develop a new method to achieve this goal via a sparse learning approach.
Four-Dimensional Computed Tomography Models, Biological Motion Respiration Time Factors Humans X-Rays Radiotherapy Lung Neoplasms Machine Learning Diaphragm Phantoms, Imaging Principal Component Analysis Lung
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