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

Showing 101 to 110 of 120 articles

Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 22, 2019
INTRODUCTION: Adequate head and neck (HN) organ-at-risk (OAR) delineation is crucial for HN radiotherapy and for investigating the relationships between radiation dose to OARs and radiation-induced side effects. The automatic contouring algorithms th...
Organs at Risk Radiotherapy Planning, Computer-Assisted Observer Variation Head and Neck Neoplasms Aged Neck Deep Learning Young Adult Neoplasm Staging Adolescent Adult Algorithms Humans Female Neural Networks, Computer Male Middle Aged
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Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 17, 2019
BACKGROUND AND PURPOSE: Manual contouring is labor intensive, and subject to variations in operator knowledge, experience and technique. This work aims to develop an automated computed tomography (CT) multi-organ segmentation method for prostate canc...
Humans Magnetic Resonance Imaging Prostatic Neoplasms Pelvis Organs at Risk Tomography, X-Ray Computed Male Deep Learning
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Deep learning-assisted literature mining for in vitro radiosensitivity data.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Aug 17, 2019
BACKGROUND AND PURPOSE: Integrated analysis of existing radiosensitivity data obtained by the gold-standard clonogenic assay has the potential to improve our understanding of cancer cell radioresistance. However, extraction of radiosensitivity data f...
Humans Deep Learning Cell Survival Data Mining Radiation Tolerance
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Incorporating imaging information from deep neural network layers into image guided radiation therapy (IGRT).

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 11, 2019
BACKGROUND AND PURPOSE: To investigate a novel markerless prostate localization strategy using a pre-trained deep learning model to interpret routine projection kilovoltage (kV) X-ray images in image-guided radiation therapy (IGRT).
Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Male Humans Radiotherapy, Image-Guided Fiducial Markers Deep Learning Prostatic Neoplasms Patient Positioning
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Deep learning derived tumor infiltration maps for personalized target definition in Glioblastoma radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 11, 2019
PURPOSE: Glioblastoma is routinely treated by concomitant radiochemotherapy. Current target definition guidelines use anatomic MRI (magnetic resonance imaging) scans, taking into account contrast enhancement and the rather unspecific hyperintensity o...
Radiotherapy Dosage Diffusion Tensor Imaging Brain Neoplasms Male Middle Aged Neoplasm Recurrence, Local Radiotherapy Planning, Computer-Assisted Deep Learning Glioblastoma Female Aged Aged, 80 and over Adult Humans Precision Medicine Retrospective Studies
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Benefits of deep learning for delineation of organs at risk in head and neck cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 27, 2019
PURPOSE/OBJECTIVE: Precise delineation of organs at risk (OARs) in head and neck cancer (HNC) is necessary for accurate radiotherapy. Although guidelines exist, significant interobserver variability (IOV) remains. The aim was to validate a 3D convolu...
Aged, 80 and over Male Middle Aged Humans Organs at Risk Deep Learning Neural Networks, Computer Female Observer Variation Head and Neck Neoplasms Aged
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MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 11, 2019
PURPOSE: This study assessed the dosimetric accuracy of synthetic CT images generated from magnetic resonance imaging (MRI) data for focal brain radiation therapy, using a deep learning approach.
Humans Tomography, X-Ray Computed Brain Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning Magnetic Resonance Imaging Radiotherapy, Intensity-Modulated Bone and Bones Radiotherapy, Image-Guided
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Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 23, 2019
BACKGROUND AND PURPOSE: Radiation pneumonitis (RP) is a radiotherapy dose-limiting toxicity for locally advanced non-small cell lung cancer (LA-NSCLC). Prior studies have proposed relevant dosimetric constraints to limit this toxicity. Using machine ...
Neoplasm Staging Radiotherapy Dosage Chemoradiotherapy Radiation Pneumonitis Aged Lung Neoplasms Male Carcinoma, Non-Small-Cell Lung Middle Aged Predictive Value of Tests Lung Humans Machine Learning Female
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Intensity-modulated radiation therapy of anal squamous cell carcinoma: Relationship between delineation quality and regional recurrence.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 31, 2018
BACKGROUND AND PURPOSE: Intensity-modulated radiation therapy (IMRT) is currently indicated to treat anal squamous cell carcinoma (ASCC). Conformal dose delivery and steep dose gradients may cause marginal misses. We analyzed patterns of locoregional...
Adult Anus Neoplasms Carcinoma, Squamous Cell Male Humans Neoplasm Recurrence, Local Risk Factors Middle Aged Radiotherapy, Intensity-Modulated Retrospective Studies Radiotherapy Planning, Computer-Assisted Aged Female
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MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 31, 2018
Radiomics - The extraction of quantitative features from radiologic images - shows increasing potential in contributing to modern personalized medicine approaches. MITK Phenotyping is an openly distributed radiomics framework implementing an exhausti...
Phenotype Precision Medicine Image Processing, Computer-Assisted Image Enhancement Humans Software Algorithms
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