AIMC Topic: Head and Neck Neoplasms

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Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status.

Scientific reports Oct 16, 2020
We investigated the ability of machine-learning classifiers on radiomics from pre-treatment multiparametric magnetic resonance imaging (MRI) to accurately predict human papillomavirus (HPV) status in patients with oropharyngeal squamous cell carcinom...
Female Aged Aged, 80 and over Adult Humans Machine Learning Retrospective Studies Computational Biology Papillomavirus Infections Regression Analysis Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Male Area Under Curve Middle Aged Papillomaviridae ROC Curve Oropharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging
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A preliminary study of a photon dose calculation algorithm using a convolutional neural network.

Physics in medicine and biology Oct 16, 2020
The aim of dose calculation algorithm research is to improve the calculation accuracy while maximizing the calculation efficiency. In this study, the three-dimensional distribution of total energy release per unit mass (TERMA) and the electron densit...
Humans Neural Networks, Computer Algorithms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Tomography, X-Ray Computed Monte Carlo Method Photons Lung Neoplasms Head and Neck Neoplasms
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Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach.

International journal of radiation oncology, biology, physics Oct 14, 2020
PURPOSE: To develop a deep learning model that generates consistent, high-quality lymph node clinical target volumes (CTV) contours for head and neck cancer (HNC) patients, as an integral part of a fully automated radiation treatment planning workflo...
Lymph Nodes Head and Neck Neoplasms Pharynx Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Reproducibility of Results Deep Learning Humans Retrospective Studies
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Deep learning for elective neck delineation: More consistent and time efficient.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 14, 2020
BACKGROUND/PURPOSE: Delineation of the lymph node levels of the neck for irradiation of the elective clinical target volume in head and neck cancer (HNC) patients is time consuming and prone to interobserver variability (IOV), although international ...
Observer Variation Deep Learning Head and Neck Neoplasms Neoplasm Staging Humans Neural Networks, Computer
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2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma.

Scientific reports Sep 24, 2020
For treatment individualisation of patients with locally advanced head and neck squamous cell carcinoma (HNSCC) treated with primary radiochemotherapy, we explored the capabilities of different deep learning approaches for predicting loco-regional tu...
Tomography, X-Ray Computed Female Aged Survival Rate Male Aged, 80 and over Adult Prospective Studies Prognosis Retrospective Studies Humans Neural Networks, Computer Chemoradiotherapy Head and Neck Neoplasms Follow-Up Studies Neoplasm Recurrence, Local Tumor Burden Middle Aged Image Processing, Computer-Assisted Squamous Cell Carcinoma of Head and Neck
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Machine Intelligence in Neurologic and Head and Neck Imaging.

Neuroimaging clinics of North America Sep 17, 2020
Head Artificial Intelligence Head and Neck Neoplasms Neck Diagnostic Imaging Humans
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Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 15, 2020
BACKGROUND: Deep learning is promising to predict treatment response. We aimed to evaluate and validate the predictive performance of the CT-based model using deep learning features for predicting pathologic complete response to neoadjuvant chemoradi...
Head and Neck Neoplasms Neoadjuvant Therapy Esophageal Neoplasms Chemoradiotherapy Esophageal Squamous Cell Carcinoma Tomography, X-Ray Computed Humans Tumor Microenvironment Retrospective Studies Deep Learning
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Robotic Neck Dissection.

Otolaryngologic clinics of North America Sep 14, 2020
Management of head and neck squamous cell carcinoma necessitates a multimodal approach. The neck dissection has evolved over many years but is well established as the key surgical intervention for management of nodal disease in the neck. The open nec...
Neck Dissection Humans Squamous Cell Carcinoma of Head and Neck Robotics Robotic Surgical Procedures Head and Neck Neoplasms Operative Time
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Robustness study of noisy annotation in deep learning based medical image segmentation.

Physics in medicine and biology Aug 27, 2020
Partly due to the use of exhaustive-annotated data, deep networks have achieved impressive performance on medical image segmentation. Medical imaging data paired with noisy annotation are, however, ubiquitous, but little is known about the effect of ...
Deep Learning Image Processing, Computer-Assisted Humans Head and Neck Neoplasms Databases, Factual Organs at Risk Signal-To-Noise Ratio Tomography, X-Ray Computed Radiometry Female Male
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Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning.

Medical physics Aug 11, 2020
PURPOSE: Anatomical variations occur during head and neck (H&N) radiotherapy treatment. kV cone-beam computed tomography (CBCT) images can be used for daily dose monitoring to assess dose variations owing to anatomic changes. Deep learning methods (D...
Calibration Radiotherapy Dosage Radiotherapy, Intensity-Modulated Phantoms, Imaging Spiral Cone-Beam Computed Tomography Head and Neck Neoplasms Radiation Oncology Humans Radiotherapy Planning, Computer-Assisted Deep Learning Cone-Beam Computed Tomography
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