AIMC Topic: Squamous Cell Carcinoma of Head and Neck

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Prediction of the treatment outcome using machine learning with FDG-PET image-based multiparametric approach in patients with oral cavity squamous cell carcinoma.

Clinical radiology Apr 30, 2021
AIM: To investigate the value of machine learning-based multiparametric analysis using 2-[F]-fluoro-2-deoxy-d-glucose positron-emission tomography (FDG-PET) images to predict treatment outcome in patients with oral cavity squamous cell carcinoma (OCS...
Positron-Emission Tomography Image Interpretation, Computer-Assisted Fluorodeoxyglucose F18 Aged, 80 and over Adult Male Middle Aged Treatment Outcome Squamous Cell Carcinoma of Head and Neck Mouth Neoplasms Radiopharmaceuticals Mouth Humans Machine Learning Female Reproducibility of Results Aged
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Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT.

American journal of otolaryngology Apr 9, 2021
OBJECTIVES: Cervical lymph nodes with internal cystic changes are seen with several pathologies, including papillary thyroid carcinoma (PTC), tuberculosis (TB), and HPV-positive oropharyngeal squamous cell carcinoma (HPV+OPSCC). Differentiating these...
Tomography, X-Ray Computed Female Male Deep Learning Thyroid Neoplasms Diagnosis, Differential Tuberculosis Humans Papillomaviridae Thyroid Cancer, Papillary Oropharyngeal Neoplasms Papillomavirus Infections Lymph Nodes Squamous Cell Carcinoma of Head and Neck Neck
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Applications of Computational Pathology in Head and Neck Cytopathology.

Acta cytologica Feb 23, 2021
BACKGROUND: The application of computational technology to head and neck cytology material has been explored experimentally in several areas with a variety of potential applications.
Artificial Intelligence Reproducibility of Results Diagnosis, Computer-Assisted Thyroid Neoplasms Squamous Cell Carcinoma of Head and Neck Humans Predictive Value of Tests Image Interpretation, Computer-Assisted Biopsy, Fine-Needle Salivary Gland Neoplasms
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miRNA-Based Feature Classifier Is Associated with Tumor Mutational Burden in Head and Neck Squamous Cell Carcinoma.

BioMed research international Dec 9, 2020
Tumor mutation burden (TMB) is considered to be an independent genetic biomarker that can predict the tumor patient's response to immune checkpoint inhibitors (ICIs). Meanwhile, microRNA (miRNA) plays a key role in regulating the anticancer immune re...
Head and Neck Neoplasms Biomarkers, Tumor Humans MicroRNAs Male Machine Learning Regression Analysis Middle Aged Female Mutation Immunotherapy Aged Squamous Cell Carcinoma of Head and Neck
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Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer.

JAMA network open Nov 2, 2020
IMPORTANCE: Postoperative chemoradiation is the standard of care for cancers with positive margins or extracapsular extension, but the benefit of chemotherapy is unclear for patients with other intermediate risk features.
Tumor Burden Chemoradiotherapy, Adjuvant Proportional Hazards Models Radiotherapy, Adjuvant Laryngeal Neoplasms Neoplasm Staging Retrospective Studies Neoplasm Grading Humans Female Deep Learning Mouth Neoplasms Otorhinolaryngologic Surgical Procedures Neural Networks, Computer Cohort Studies Oropharyngeal Neoplasms Patient Selection Machine Learning Hypopharyngeal Neoplasms Logistic Models Lymph Nodes Squamous Cell Carcinoma of Head and Neck Aged Male
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Machine learning analysis of DNA methylation in a hypoxia-immune model of oral squamous cell carcinoma.

International immunopharmacology Oct 19, 2020
BACKGROUND: Hypoxia status and immunity are related with the development and prognosis of oral squamous cell carcinoma (OSCC). Here, we constructed a hypoxia-immune model to explore its upstream mechanism and identify potential CpG sites.
Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Databases, Genetic DNA Methylation Models, Biological Hypoxia CpG Islands Humans Machine Learning Prognosis Tumor Microenvironment Computational Biology
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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...
Humans Computational Biology Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Regression Analysis Area Under Curve Papillomaviridae Oropharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging Aged, 80 and over Adult Male Middle Aged ROC Curve Machine Learning Retrospective Studies Female Aged
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Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques.

Cancer reports (Hoboken, N.J.) Oct 7, 2020
BACKGROUND: Oral squamous cell carcinoma (OSCC) is the most prevalent form of oral cancer. Very few researches have been carried out for the automatic diagnosis of OSCC using artificial intelligence techniques. Though biopsy is the ultimate test for ...
Biopsy Mouth Neoplasms Humans Machine Learning Squamous Cell Carcinoma of Head and Neck Principal Component Analysis
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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...
Adult Survival Rate Male Middle Aged Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed Tumor Burden Neural Networks, Computer Female Chemoradiotherapy Prospective Studies Aged Squamous Cell Carcinoma of Head and Neck Prognosis Aged, 80 and over Head and Neck Neoplasms Retrospective Studies Follow-Up Studies Neoplasm Recurrence, Local
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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...
Operative Time Humans Robotics Squamous Cell Carcinoma of Head and Neck Robotic Surgical Procedures Head and Neck Neoplasms Neck Dissection
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