AIMC Topic: Head and Neck Neoplasms

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Precision head and neck surgery: robotics and surgical vision technology.

Current opinion in otolaryngology & head and neck surgery Apr 1, 2021
PURPOSE OF REVIEW: As the molecular basis of head and neck cancer becomes more clearly defined, precision medicine has gradually refined the multidisciplinary treatment paradigm for patients with oropharyngeal cancer. Although precision medicine is o...
Humans Robotics Robotic Surgical Procedures Oropharyngeal Neoplasms Head and Neck Neoplasms Neck
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Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting Mar 1, 2021
The advent of large-scale high-performance computing has allowed the development of machine-learning techniques in oncologic applications. Among these, there has been substantial growth in radiomics (machine-learning texture analysis of images) and a...
Head and Neck Neoplasms Diagnostic Imaging Machine Learning Algorithms Humans Artificial Intelligence
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[Robot-assisted head and neck surgery].

HNO Feb 1, 2021
Robot-assisted surgery (RAS) has already been approved for several clinical applications in head and neck surgery. In some Anglo-American regions, RAS is currently the common standard for treatment of oropharyngeal diseases. Systematic randomized stu...
Head and Neck Neoplasms Robotics Robotic Surgical Procedures Humans
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Machine Learning Applications for Head and Neck Imaging.

Neuroimaging clinics of North America Nov 1, 2020
The head and neck (HN) consists of a large number of vital anatomic structures within a compact area. Imaging plays a central role in the diagnosis and management of major disorders affecting the HN. This article reviews the recent applications of ma...
Humans Diagnostic Imaging Image Interpretation, Computer-Assisted Machine Learning Head and Neck Neoplasms
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Comparative outcomes of robot-assisted minimally invasive versus open esophagectomy in patients with esophageal squamous cell carcinoma: a propensity score-weighted analysis.

Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus May 15, 2020
Robots are increasingly used in minimally invasive surgery. We evaluated the clinical benefits of robot-assisted minimally invasive esophagectomy (RAMIE) in comparison with the conventional open esophageal surgery. From 2012 to 2016, 371 patients wit...
Minimally Invasive Surgical Procedures Robotic Surgical Procedures Neoplasm Recurrence, Local Head and Neck Neoplasms Robotics Postoperative Complications Treatment Outcome Humans Propensity Score Esophageal Squamous Cell Carcinoma Esophagectomy Esophageal Neoplasms
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Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.

Cancer biomarkers : section A of Disease markers Jan 1, 2020
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is the seventh most common type of cancer around the world. The aim of this study was to seek the long non-coding RNAs (lncRNAs) acting as diagnostic and prognostic biomarker of HNSCC.
RNA, Long Noncoding High-Throughput Screening Assays Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Computational Biology RNA, Messenger Humans Machine Learning Biomarkers, Tumor Prognosis Gene Regulatory Networks
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Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases.

Science translational medicine Sep 11, 2019
Head and neck squamous cell carcinoma (HNSC) patients are at risk of suffering from both pulmonary metastases or a second squamous cell carcinoma of the lung (LUSC). Differentiating pulmonary metastases from primary lung cancers is of high clinical i...
Humans Algorithms Carcinoma, Squamous Cell Machine Learning Lung Neoplasms Reproducibility of Results Head and Neck Neoplasms Cohort Studies DNA Methylation
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Clinical manifestation of malignant lymphomas of the head and neck region.

Otolaryngologia polska = The Polish otolaryngology Dec 30, 2017
INTRODUCTION: Malignant lymphoma (ML) is a neoplasm caused by clonal expansion of undifferentiated B, T and NK-lymphoid cells. WHO classification divides lymphomas into two main types, i.e. Hodgkin lymphoma (HL), and non-Hodgkin lymphoma (NHL), with ...
Lymphoma Adult Male Poland Aged Head and Neck Neoplasms Humans Middle Aged Young Adult Female
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Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging.

Journal of biomedical optics Jun 1, 2017
Surgical cancer resection requires an accurate and timely diagnosis of the cancer margins in order to achieve successful patient remission. Hyperspectral imaging (HSI) has emerged as a useful, noncontact technique for acquiring spectral and optical p...
Diagnostic Imaging Neural Networks, Computer Humans Head and Neck Neoplasms
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Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.

Medical physics Feb 1, 2017
PURPOSE: Accurate segmentation of organs-at-risks (OARs) is the key step for efficient planning of radiation therapy for head and neck (HaN) cancer treatment. In the work, we proposed the first deep learning-based algorithm, for segmentation of OARs ...
Neural Networks, Computer Observer Variation Organs at Risk Radiotherapy, Intensity-Modulated Software Radiotherapy Planning, Computer-Assisted Humans Tomography, X-Ray Computed Markov Chains Image Processing, Computer-Assisted Head and Neck Neoplasms
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