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

Showing 61 to 70 of 120 articles

Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 20, 2023
BACKGROUND AND PURPOSE: The aim of this study was to develop and evaluate a prediction model for 2-year overall survival (OS) in stage I-IIIA non-small cell lung cancer (NSCLC) patients who received definitive radiotherapy by considering clinical var...
Carcinoma, Non-Small-Cell Lung Neoplasm Staging Humans Retrospective Studies Deep Learning Lung Neoplasms Tomography, X-Ray Computed
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Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: A large-scale and multi-center study.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 16, 2023
BACKGROUND AND PURPOSE: The problem of obtaining accurate primary gross tumor volume (GTVp) segmentation for nasopharyngeal carcinoma (NPC) on heterogeneous magnetic resonance imaging (MRI) images with deep learning remains unsolved. Herein, we repor...
Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Spectroscopy Nasopharyngeal Carcinoma Magnetic Resonance Imaging Nasopharyngeal Neoplasms Tumor Burden
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Patient-specific daily updated deep learning auto-segmentation for MRI-guided adaptive radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 12, 2022
BACKGROUND AND PURPOSE: Deep Learning (DL) technique has shown great potential but still has limited success in online contouring for MR-guided adaptive radiotherapy (MRgART). This study proposed a patient-specific DL auto-segmentation (DLAS) strateg...
Tomography, X-Ray Computed Deep Learning Humans Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Comparison of atlas-based and deep learning methods for organs at risk delineation on head-and-neck CT images using an automated treatment planning system.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 1, 2022
BACKGROUND AND PURPOSE: To investigate the performance of head-and-neck (HN) organs-at-risk (OAR) automatic segmentation (AS) using four atlas-based (ABAS) and two deep learning (DL) solutions.
Humans Tomography, X-Ray Computed Organs at Risk Radiotherapy Planning, Computer-Assisted Deep Learning Head and Neck Neoplasms
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Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 24, 2022
BACKGROUND AND PURPOSE: This study aims to investigate how accurate our deep learning (DL) dose prediction models for intensity modulated radiotherapy (IMRT) and pencil beam scanning (PBS) treatments, when chained with normal tissue complication prob...
Proton Therapy Esophageal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Probability Humans Deep Learning Decision Support Systems, Clinical
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A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 5, 2022
INTRODUCTION: This study aims to apply a conditional Generative Adversarial Network (cGAN) to generate synthetic Computed Tomography (sCT) from 0.35 Tesla Magnetic Resonance (MR) images of the thorax.
Radiotherapy, Image-Guided Deep Learning Magnetic Resonance Imaging Radiotherapy Dosage Thorax Radiotherapy Planning, Computer-Assisted Humans Tomography, X-Ray Computed Lung
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Quantifying the post-radiation accelerated brain aging rate in glioma patients with deep learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Aug 10, 2022
BACKGROUND AND PURPOSE: Changes of healthy appearing brain tissue after radiotherapy (RT) have been previously observed. Patients undergoing RT may have a higher risk of cognitive decline, leading to a reduced quality of life. The experienced tissue ...
Humans Brain Quality of Life Deep Learning Aging Glioma Magnetic Resonance Imaging
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Comparative evaluation of a prototype deep learning algorithm for autosegmentation of normal tissues in head and neck radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 9, 2022
PURPOSE: To introduce and validate a newly developed deep-learning (DL) auto-segmentation algorithm for head and neck (HN) organs at risk (OARs) and to compare its performance with a published commercial algorithm.
Organs at Risk Radiotherapy Planning, Computer-Assisted Deep Learning Head and Neck Neoplasms Humans Algorithms Reproducibility of Results
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Training, validation, and clinical implementation of a deep-learning segmentation model for radiotherapy of loco-regional breast cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 23, 2022
AIM: To train and validate a comprehensive deep-learning (DL) segmentation model for loco-regional breast cancer with the aim of clinical implementation.
Radiation Oncology Organs at Risk Breast Neoplasms Deep Learning Humans Radiotherapy Planning, Computer-Assisted Female Neoplasms, Second Primary
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Use of deep learning to predict the need for aggressive nutritional supplementation during head and neck radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 21, 2022
PURPOSE/OBJECTIVES: Radiation therapy (RT) for the treatment of patients with head and neck cancer (HNC) leads to side effects that can limit a person's oral intake. Early identification of patients who need aggressive nutrition supplementation via a...
Artificial Intelligence Cone-Beam Computed Tomography Deep Learning Head and Neck Neoplasms Humans Dietary Supplements Neural Networks, Computer
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