AI Medical Compendium Journal:
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

Showing 111 to 120 of 120 articles

Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 31, 2018
PURPOSE: To design a deep learning algorithm that automatically delineates lung tumors seen on weekly magnetic resonance imaging (MRI) scans acquired during radiotherapy and facilitates the analysis of geometric tumor changes.
Image Processing, Computer-Assisted Lung Neoplasms Longitudinal Studies Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms
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Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 1, 2018
BACKGROUND AND PURPOSE: Recurrence is the main risk for high-grade serous ovarian cancer (HGSOC) and few prognostic biomarkers were reported. In this study, we proposed a novel deep learning (DL) method to extract prognostic biomarkers from preoperat...
Disease-Free Survival Kaplan-Meier Estimate Cystadenocarcinoma, Serous Tomography, X-Ray Computed Ovarian Neoplasms Female Predictive Value of Tests Biomarkers, Tumor Neoplasm Recurrence, Local Humans Middle Aged Precision Medicine Deep Learning Prognosis Cohort Studies
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MRI-based automated detection of implanted low dose rate (LDR) brachytherapy seeds using quantitative susceptibility mapping (QSM) and unsupervised machine learning (ML).

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 19, 2018
BACKGROUND AND PURPOSE: Permanent seed brachytherapy is an established treatment option for localized prostate cancer. Currently, post-implant dosimetry is performed on CT images despite challenging target delineation due to limited soft tissue contr...
Humans Magnetic Resonance Imaging Unsupervised Machine Learning Prostatic Neoplasms Iodine Radioisotopes Tomography, X-Ray Computed Male Contrast Media Brachytherapy Radiotherapy Dosage Phantoms, Imaging
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A machine learning-based prediction model of H3K27M mutations in brainstem gliomas using conventional MRI and clinical features.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Aug 7, 2018
BACKGROUND: H3K27M is the most frequent mutation in brainstem gliomas (BSGs), and it has great significance in the differential diagnosis, prognostic prediction and treatment strategy selection of BSGs. There has been a lack of reliable noninvasive m...
Histones Brain Stem Neoplasms Glioma Magnetic Resonance Imaging Mutation Humans Machine Learning Retrospective Studies Female Male Middle Aged
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Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jun 12, 2018
Artificial intelligence (AI) is emerging as a technology with the power to transform established industries, and with applications from automated manufacturing to advertising and facial recognition to fully autonomous transportation. Advances in each...
Patient Care Quality Assurance, Health Care Radiotherapy Dosage Decision Support Techniques Radiology Radiation Oncology Machine Learning Forecasting Humans Artificial Intelligence
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Functional-guided radiotherapy using knowledge-based planning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 5, 2018
BACKGROUND AND PURPOSE: There are two significant challenges when implementing functional-guided radiotherapy using 4DCT-ventilation imaging: (1) lack of knowledge of realistic patient specific dosimetric goals for functional lung and (2) ensuring co...
Respiration Knowledge Bases Radiotherapy Dosage Humans Organs at Risk Four-Dimensional Computed Tomography Lung Neoplasms Radiotherapy Planning, Computer-Assisted
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A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 6, 2017
BACKGROUND AND PURPOSE: The gross tumour volume (GTV) is predictive of clinical outcome and consequently features in many machine-learned models. 4D-planning, however, has prompted substitution of the GTV with the internal gross target volume (iGTV)....
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Models, Statistical Radiotherapy Planning, Computer-Assisted Tumor Burden Observer Variation Humans Machine Learning Cohort Studies Four-Dimensional Computed Tomography
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Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 20, 2017
BACKGROUND AND PURPOSE: Clinical decision support systems are a growing class of tools with the potential to impact healthcare. This study investigates the construction of a decision support system through which clinicians can efficiently identify wh...
Decision Making Radiotherapy Planning, Computer-Assisted Oropharyngeal Neoplasms Humans Machine Learning Decision Support Systems, Clinical
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Normal tissue complication probability (NTCP) modelling using spatial dose metrics and machine learning methods for severe acute oral mucositis resulting from head and neck radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 27, 2016
BACKGROUND AND PURPOSE: Severe acute mucositis commonly results from head and neck (chemo)radiotherapy. A predictive model of mucositis could guide clinical decision-making and inform treatment planning. We aimed to generate such a model using spatia...
Models, Theoretical Humans Head and Neck Neoplasms Stomatitis Acute Disease Probability Machine Learning Radiotherapy Dosage Clinical Decision-Making Female Radiation Injuries Male Logistic Models
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A dosimetric comparison of real-time adaptive and non-adaptive radiotherapy: A multi-institutional study encompassing robotic, gimbaled, multileaf collimator and couch tracking.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 22, 2016
PURPOSE: A study of real-time adaptive radiotherapy systems was performed to test the hypothesis that, across delivery systems and institutions, the dosimetric accuracy is improved with adaptive treatments over non-adaptive radiotherapy in the presen...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Movement Lung Neoplasms Humans Robotics Male Prostatic Neoplasms Computer Systems
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