AIMC Topic: Head and Neck Neoplasms

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The potential use of deep learning in performing autocorrection of setup errors in patients receiving radiotherapy.

Radiography (London, England : 1995) Jan 31, 2025
INTRODUCTION: Modern radiotherapy practice relies on multiple approaches for verification of patient positioning. All of these techniques require experienced radiotherapists who understand the anatomical landmarks and the limitations of the used veri...
Middle Aged Aged Deep Learning Adult Head and Neck Neoplasms Brain Neoplasms Humans Feasibility Studies Male Radiotherapy Setup Errors Neural Networks, Computer Retrospective Studies Radiotherapy Planning, Computer-Assisted Female Patient Positioning
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Enhancing surgical precision in squamous cell carcinoma of the head and neck: Hyperspectral imaging and artificial intelligence for improved margin assessment in an ex vivo setting.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 30, 2025
BACKGROUND: Head and neck cancers, constituting 3-5% of all cancer cases, often require surgical resection for optimal outcomes. Achieving complete resection (R0) is crucial, but current methods, relying on white light endoscopy and microscopy, have ...
Female Aged Male Squamous Cell Carcinoma of Head and Neck Middle Aged Humans Head and Neck Neoplasms Neural Networks, Computer Hyperspectral Imaging Artificial Intelligence Margins of Excision
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Deep learning-based Monte Carlo dose prediction for heavy-ion online adaptive radiotherapy and fast quality assurance: A feasibility study.

Medical physics Jan 27, 2025
BACKGROUND: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in suc...
Heavy Ion Radiotherapy Quality Assurance, Health Care Radiation Dosage Radiotherapy Dosage Monte Carlo Method Time Factors Head and Neck Neoplasms Feasibility Studies Humans Radiotherapy Planning, Computer-Assisted Deep Learning
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A radiomics model combining machine learning and neural networks for high-accuracy prediction of cervical lymph node metastasis on ultrasound of head and neck squamous cell carcinoma.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 24, 2025
OBJECTIVE: This study aimed to develop an ultrasound image-based radiomics model for diagnosing cervical lymph node (LN) metastasis in patients with head and neck squamous cell carcinoma (HNSCC) that shows higher accuracy than previous models.
Lymphatic Metastasis Lymph Nodes Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Neck Female Radiomics Humans Male Neural Networks, Computer Middle Aged Machine Learning Ultrasonography
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Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Jan 14, 2025
PURPOSE: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM ris...
Middle Aged Risk Assessment Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Aged, 80 and over Adult Sensitivity and Specificity Male Decision Trees Oropharyngeal Neoplasms Stomatitis Humans Machine Learning Algorithms Female Carcinoma, Squamous Cell Risk Factors Aged
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Evaluation of machine learning models for predicting xerostomia in adults with head and neck cancer during proton and heavy ion radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 9, 2025
BACKGROUND AND PURPOSE: Few studies have examined the factors associated with xerostomia during proton and carbon ion radiotherapy for head and neck cancer (HNC), which are reported to have fewer toxic effects compared to traditional photon-based rad...
Machine Learning Retrospective Studies Female Aged Aged, 80 and over Humans Heavy Ion Radiotherapy Adolescent Young Adult Head and Neck Neoplasms Adult Proton Therapy Male Xerostomia Middle Aged
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Identification of genomic alteration and prognosis using pathomics-based artificial intelligence in oral leukoplakia and head and neck squamous cell carcinoma: a multicenter experimental study.

International journal of surgery (London, England) Jan 1, 2025
BACKGROUND: Loss of chromosome 9p is an important biomarker in the malignant transformation of oral leukoplakia (OLK) to head and neck squamous cell carcinoma (HNSCC), and is associated with the prognosis of HNSCC patients. However, various challenge...
Head and Neck Neoplasms Leukoplakia, Oral Chromosomes, Human, Pair 9 Male Middle Aged Genomics Squamous Cell Carcinoma of Head and Neck Humans Artificial Intelligence Prognosis Retrospective Studies Female Aged Adult
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Identification of a gene score related to antigen processing and presentation machinery for predicting prognosis in head and neck squamous cell carcinoma and its potential implications for immunotherapy.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Dec 31, 2024
BACKGROUND: Despite its crucial role in immune surveillance and cell survival of tumors, the significance of MHC antigen processing and presentation machinery (APM) is still not fully understood in head and neck squamous cell carcinoma (HNSCC). We so...
Humans Male Immunotherapy Squamous Cell Carcinoma of Head and Neck Machine Learning Head and Neck Neoplasms Prognosis Antigen Presentation Female Biomarkers, Tumor
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Integrating immune multi-omics and machine learning to improve prognosis, immune landscape, and sensitivity to first- and second-line treatments for head and neck squamous cell carcinoma.

Scientific reports Dec 28, 2024
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the standard treatment regimen for patients with head and neck squamous cell carcinoma (HNSCC). However, accurately predicting the treatment effectiveness ...
Immunotherapy Female Head and Neck Neoplasms Humans Multiomics DNA Methylation Machine Learning Gene Expression Regulation, Neoplastic Biomarkers, Tumor Algorithms Squamous Cell Carcinoma of Head and Neck Male Prognosis Immune Checkpoint Inhibitors
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Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma.

CPT: pharmacometrics & systems pharmacology Dec 25, 2024
We employed a mechanistic learning approach, integrating on-treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post-progression survival (PPS)-the duration from the time of document...
Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Female Humans Cetuximab Aged Machine Learning Male Middle Aged
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