AIMC Topic: Head and Neck Neoplasms

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Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 5, 2019
BACKGROUND: Deep learning-based auto-segmented contours (DC) aim to alleviate labour intensive contouring of organs at risk (OAR) and clinical target volumes (CTV). Most previous DC validation studies have a limited number of expert observers for com...
Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Observer Variation Humans Male Deep Learning
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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 Neck Neoplasm Staging Aged Young Adult Adult Deep Learning Adolescent Male Middle Aged Neural Networks, Computer Algorithms Female Humans
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Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy.

International journal of radiation oncology, biology, physics Aug 1, 2019
PURPOSE: To assess the accuracy of machine learning to predict and classify quality assurance (QA) results for volumetric modulated arc therapy (VMAT) plans.
Female Reproducibility of Results Sensitivity and Specificity Humans Machine Learning Workload Radiotherapy Planning, Computer-Assisted Data Accuracy Quality Assurance, Health Care Head and Neck Neoplasms Poisson Distribution Regression Analysis Genital Neoplasms, Female Radiotherapy, Intensity-Modulated
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Machine learning methods applied to audit of surgical outcomes after treatment for cancer of the head and neck.

The British journal of oral & maxillofacial surgery Jul 26, 2019
Most surgical specialties have attempted to address concerns about unfair comparison of outcomes by "risk-adjusting" data to benchmark specialty-specific outcomes that are indicative of the quality of care. We are building on previous work in head an...
Treatment Outcome Head and Neck Neoplasms Clinical Audit Machine Learning Carcinoma, Squamous Cell Postoperative Complications Humans
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Automated 4π radiotherapy treatment planning with evolving knowledge-base.

Medical physics Jul 26, 2019
PURPOSE: Non-coplanar 4π radiotherapy generalizes intensity modulated radiation therapy (IMRT) to automate beam geometry selection but requires complicated hyperparameter tuning to attain superior plan quality, which can be tedious and inconsistent. ...
Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Automation Radiotherapy Dosage Head and Neck Neoplasms Knowledge Bases Humans Lung Neoplasms
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Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network.

Medical physics Jul 9, 2019
PURPOSE: To develop and evaluate a patch-based convolutional neural network (CNN) to generate synthetic computed tomography (sCT) images for magnetic resonance (MR)-only workflow for radiotherapy of head and neck tumors. A patch-based deep learning m...
Radiometry Tomography, X-Ray Computed Image Processing, Computer-Assisted Head and Neck Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer
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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...
Observer Variation Deep Learning Head and Neck Neoplasms Organs at Risk Aged, 80 and over Male Middle Aged Humans Neural Networks, Computer Female Aged
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Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.

Medical physics May 6, 2019
PURPOSE: Image-guided radiotherapy provides images not only for patient positioning but also for online adaptive radiotherapy. Accurate delineation of organs-at-risk (OARs) on Head and Neck (H&N) CT and MR images is valuable to both initial treatment...
Humans Neural Networks, Computer Head and Neck Neoplasms Magnetic Resonance Imaging Tomography, X-Ray Computed Image Processing, Computer-Assisted Organs at Risk Radiotherapy, Image-Guided
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Machine-learned target volume delineation of F-FDG PET images after one cycle of induction chemotherapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 3, 2019
Biological tumour volume (GTV) delineation on F-FDG PET acquired during induction chemotherapy (ICT) is challenging due to the reduced metabolic uptake and volume of the GTV. Automatic segmentation algorithms applied to F-FDG PET (PET-AS) imaging hav...
Male Head and Neck Neoplasms Positron Emission Tomography Computed Tomography Machine Learning Female Adult Feasibility Studies Fluorodeoxyglucose F18 Induction Chemotherapy Humans
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Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning.

European radiology Apr 12, 2019
OBJECTIVES: This study was conducted in order to evaluate a novel risk stratification model using dual-energy CT (DECT) texture analysis of head and neck squamous cell carcinoma (HNSCC) with machine learning to (1) predict associated cervical lymphad...
Head and Neck Neoplasms Neck Lymphatic Metastasis Neoplasm Staging Multidetector Computed Tomography Male Lymph Nodes Squamous Cell Carcinoma of Head and Neck Humans Machine Learning Female
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