AIMC Topic: Head and Neck Neoplasms

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The application of artificial intelligence in the IMRT planning process for head and neck cancer.

Oral oncology Oct 31, 2018
Artificial intelligence (AI) is beginning to transform IMRT treatment planning for head and neck patients. However, the complexity and novelty of AI algorithms make them susceptible to misuse by researchers and clinicians. Understanding nuances of ne...
Humans Machine Learning Clinical Decision-Making Radiotherapy, Intensity-Modulated Radiation Injuries Radiation Oncologists Clinical Competence Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted
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Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study.

Contrast media & molecular imaging Oct 24, 2018
PURPOSE: In this study, we proposed an automated deep learning (DL) method for head and neck cancer (HNC) gross tumor volume (GTV) contouring on positron emission tomography-computed tomography (PET-CT) images.
Models, Theoretical Head and Neck Neoplasms Male Positron Emission Tomography Computed Tomography Humans Middle Aged Female Deep Learning
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Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.

Medical physics Sep 19, 2018
PURPOSE: Intensity modulated radiation therapy (IMRT) is commonly employed for treating head and neck (H&N) cancer with uniform tumor dose and conformal critical organ sparing. Accurate delineation of organs-at-risk (OARs) on H&N CT images is thus es...
Head and Neck Neoplasms Tomography, X-Ray Computed Humans Organs at Risk Image Processing, Computer-Assisted Neural Networks, Computer Automation Models, Theoretical
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An unsupervised convolutional neural network-based algorithm for deformable image registration.

Physics in medicine and biology Sep 17, 2018
The purpose of the work is to develop a deep unsupervised learning strategy for cone-beam CT (CBCT) to CT deformable image registration (DIR). This technique uses a deep convolutional inverse graphics network (DCIGN) based DIR algorithm implemented o...
Humans Cone-Beam Computed Tomography Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Head and Neck Neoplasms
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Robotic Head and Neck Surgery: History, Technical Evolution and the Future.

ORL; journal for oto-rhino-laryngology and its related specialties Jun 20, 2018
The first application of robotic technology in surgery was described in 1985 when a robot was used to define the trajectory for a stereotactic brain biopsy. Following its successful application in a variety of surgical operations, the da Vinci® robot...
Robotic Surgical Procedures Parathyroidectomy History, 21st Century Head and Neck Neoplasms Robotics History, 20th Century Humans Natural Orifice Endoscopic Surgery Forecasting Otorhinolaryngologic Surgical Procedures Thyroidectomy
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A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.

Medical image analysis Apr 6, 2018
Heart motion tracking for radiation therapy treatment planning can result in effective motion management strategies to minimize radiation-induced cardiotoxicity. However, automatic heart motion tracking is challenging due to factors that include the ...
Markov Chains Radiation Injuries Radiotherapy, Image-Guided Magnetic Resonance Imaging, Cine Head and Neck Neoplasms Heart Motion Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Creation of knowledge-based planning models intended for large scale distribution: Minimizing the effect of outlier plans.

Journal of applied clinical medical physics Apr 6, 2018
Knowledge-based planning (KBP) can be used to estimate dose-volume histograms (DVHs) of organs at risk (OAR) using models. The task of model creation, however, can result in estimates with differing accuracy; particularly when outlier plans are not p...
Prostatic Neoplasms Models, Biological Knowledge Bases Male Head and Neck Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Organ Sparing Treatments Organs at Risk Quality Control Radiotherapy Planning, Computer-Assisted Humans Retrospective Studies
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Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images.

Medical physics Mar 23, 2018
PURPOSE: Accurate 3D image segmentation is a crucial step in radiation therapy planning of head and neck tumors. These segmentation results are currently obtained by manual outlining of tissues, which is a tedious and time-consuming procedure. Automa...
Tomography, X-Ray Computed Imaging, Three-Dimensional Humans Joints Head and Neck Neoplasms Neural Networks, Computer
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Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function.

International journal of radiation oncology, biology, physics Feb 7, 2018
PURPOSE: Automating and standardizing the contouring of clinical target volumes (CTVs) can reduce interphysician variability, which is one of the largest sources of uncertainty in head and neck radiation therapy. In addition to using uniform margin e...
Humans Algorithms Deep Learning Head and Neck Neoplasms Tumor Burden Oropharyngeal Neoplasms Observer Variation
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A singular value decomposition linear programming (SVDLP) optimization technique for circular cone based robotic radiotherapy.

Physics in medicine and biology Jan 5, 2018
With robot-controlled linac positioning, robotic radiotherapy systems such as CyberKnife significantly increase freedom of radiation beam placement, but also impose more challenges on treatment plan optimization. The resampling mechanism in the vendo...
Radiotherapy, Intensity-Modulated Programming, Linear Humans Robotics Algorithms Lung Neoplasms Liver Neoplasms Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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