AIMC Topic: Head and Neck Neoplasms

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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...
Cone-Beam Computed Tomography Head and Neck Neoplasms Radiation Oncology Humans Deep Learning Radiotherapy, Intensity-Modulated Phantoms, Imaging Spiral Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted Calibration Radiotherapy Dosage
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Utilizing Artificial Intelligence for Head and Neck Cancer Outcomes Prediction From Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jul 31, 2020
Artificial intelligence (AI)-based models have become a growing area of interest in predictive medicine and have the potential to aid physician decision-making to improve patient outcomes. Imaging and radiomics play an increasingly important role in ...
Image Interpretation, Computer-Assisted Prognosis Humans Head and Neck Neoplasms Artificial Intelligence Diagnostic Imaging
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Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis.

Radiation oncology (London, England) Jul 29, 2020
BACKGROUND: Automatic tumor segmentation based on Convolutional Neural Networks (CNNs) has shown to be a valuable tool in treatment planning and clinical decision making. We investigate the influence of 7 MRI input channels of a CNN with respect to t...
Humans Neural Networks, Computer Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Multiparametric Magnetic Resonance Imaging
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Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods.

Medical physics Jul 28, 2020
Radiotherapy (RT) is one of the basic treatment modalities for cancer of the head and neck (H&N), which requires a precise spatial description of the target volumes and organs at risk (OARs) to deliver a highly conformal radiation dose to the tumor c...
Radiotherapy Planning, Computer-Assisted Head Deep Learning Head and Neck Neoplasms Organs at Risk Humans
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Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images.

Radiation oncology (London, England) Jul 20, 2020
BACKGROUND: Impaired function of masticatory muscles will lead to trismus. Routine delineation of these muscles during planning may improve dose tracking and facilitate dose reduction resulting in decreased radiation-related trismus. This study aimed...
Masticatory Muscles Deep Learning Head and Neck Neoplasms Humans Atlases as Topic Tomography, X-Ray Computed Neck Observer Variation Radiation Dosage
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Feasibility of Multiparametric Positron Emission Tomography/Magnetic Resonance Imaging as a One-Stop Shop for Radiation Therapy Planning for Patients with Head and Neck Cancer.

International journal of radiation oncology, biology, physics Jul 16, 2020
PURPOSE: Multiparametric positron emission tomography (PET)/magnetic resonance imaging (MRI) as a one-stop shop for radiation therapy (RT) planning has great potential but is technically challenging. We studied the feasibility of performing multipara...
Multimodal Imaging Feasibility Studies Radiopharmaceuticals Positron-Emission Tomography Fluorodeoxyglucose F18 Radiotherapy Dosage Deep Learning Head and Neck Neoplasms Magnetic Resonance Imaging Humans Prospective Studies Neural Networks, Computer Tomography, X-Ray Computed Patient Positioning Radiotherapy, Computer-Assisted
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Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: A systematic review.

Oral oncology Jul 13, 2020
This systematic review analyses and describes the application and diagnostic accuracy of Artificial Intelligence (AI) methods used for detection and grading of potentially malignant (pre-cancerous) and cancerous head and neck lesions using whole slid...
Disease Susceptibility Head and Neck Neoplasms Databases, Genetic Neoplasm Staging Artificial Intelligence Neoplasm Grading Humans Algorithms Disease Management Deep Learning Precancerous Conditions
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A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder.

Physics in medicine and biology Jul 13, 2020
The primary cone-beam computed tomography (CBCT) imaging beam scatters inside the patient and produces a contaminating photon fluence that is registered by the detector. Scattered photons cause artifacts in the image reconstruction, and are partially...
Phantoms, Imaging Image Processing, Computer-Assisted Head and Neck Neoplasms Artifacts Humans Signal-To-Noise Ratio Neural Networks, Computer Monte Carlo Method Cone-Beam Computed Tomography Scattering, Radiation
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A new multimodal, image-guided, robot-assisted, interstitial brachytherapy for the treatment of head and neck tumors-A preliminary study.

The international journal of medical robotics + computer assisted surgery : MRCAS Jul 6, 2020
BACKGROUND: Interstitial brachytherapy (BT) is becoming an accepted treatment option for head and neck cancer patients for whom surgery poses high risks. Multimodal, image-guided, robotic surgery has the potential to allow precise seed implantation i...
Robotics Brachytherapy Humans Retrospective Studies Tomography, X-Ray Computed Head and Neck Neoplasms
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Metabolomics, machine learning and immunohistochemistry to predict succinate dehydrogenase mutational status in phaeochromocytomas and paragangliomas.

The Journal of pathology Jul 1, 2020
Phaeochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumours with a hereditary background in over one-third of patients. Mutations in succinate dehydrogenase (SDH) genes increase the risk for PPGLs and several other tumours. Mutation...
Humans Machine Learning Cohort Studies Mutation Immunohistochemistry Succinate Dehydrogenase Head and Neck Neoplasms Metabolomics Adrenal Gland Neoplasms Paraganglioma Pheochromocytoma
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