AIMC Topic: Squamous Cell Carcinoma of Head and Neck

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Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research May 4, 2021
PURPOSE: Accurate prognostic stratification of patients with oropharyngeal squamous cell carcinoma (OPSCC) is crucial. We developed an objective and robust deep learning-based fully-automated tool called the DeepPET-OPSCC biomarker for predicting ove...
Humans Prognosis Female Survival Rate Male Predictive Value of Tests Radiopharmaceuticals Positron-Emission Tomography Middle Aged Fluorodeoxyglucose F18 Deep Learning Oropharyngeal Neoplasms Cohort Studies Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms
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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...
Aged Aged, 80 and over Adult Male Middle Aged Humans Machine Learning Female Reproducibility of Results Mouth Positron-Emission Tomography Image Interpretation, Computer-Assisted Fluorodeoxyglucose F18 Treatment Outcome Squamous Cell Carcinoma of Head and Neck Mouth Neoplasms Radiopharmaceuticals
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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...
Tuberculosis Tomography, X-Ray Computed Papillomaviridae Female Thyroid Cancer, Papillary Male Oropharyngeal Neoplasms Deep Learning Thyroid Neoplasms Papillomavirus Infections Humans Lymph Nodes Squamous Cell Carcinoma of Head and Neck Neck Diagnosis, Differential
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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.
Thyroid Neoplasms Squamous Cell Carcinoma of Head and Neck Predictive Value of Tests Image Interpretation, Computer-Assisted Biopsy, Fine-Needle Humans Artificial Intelligence Reproducibility of Results Diagnosis, Computer-Assisted 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 MicroRNAs Humans Biomarkers, Tumor Regression Analysis Machine Learning Male Mutation Female Middle Aged Aged Immunotherapy 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.
Mouth Neoplasms Patient Selection Tumor Burden Chemoradiotherapy, Adjuvant Proportional Hazards Models Radiotherapy, Adjuvant Laryngeal Neoplasms Otorhinolaryngologic Surgical Procedures Oropharyngeal Neoplasms Hypopharyngeal Neoplasms Logistic Models Lymph Nodes Squamous Cell Carcinoma of Head and Neck Neoplasm Staging Neoplasm Grading Aged Male Deep Learning Cohort Studies Humans Neural Networks, Computer Machine Learning Retrospective Studies Female
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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.
DNA Methylation Humans Models, Biological Machine Learning Hypoxia Prognosis CpG Islands Tumor Microenvironment Gene Expression Regulation, Neoplastic Computational Biology Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Databases, Genetic
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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...
Machine Learning Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged ROC Curve Computational Biology Humans Papillomavirus Infections Area Under Curve Squamous Cell Carcinoma of Head and Neck Papillomaviridae Head and Neck Neoplasms Oropharyngeal Neoplasms Regression Analysis Multiparametric Magnetic Resonance Imaging
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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 ...
Machine Learning Squamous Cell Carcinoma of Head and Neck Principal Component Analysis Biopsy Mouth Neoplasms Humans
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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...
Survival Rate Male Middle Aged Image Processing, Computer-Assisted Squamous Cell Carcinoma of Head and Neck Female Aged Humans Neural Networks, Computer Aged, 80 and over Head and Neck Neoplasms Adult Prospective Studies Follow-Up Studies Prognosis Neoplasm Recurrence, Local Retrospective Studies Tumor Burden Tomography, X-Ray Computed Chemoradiotherapy
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