AIMC Topic: Head and Neck Neoplasms

Clear Filters Showing 31 to 40 of 356 articles

Development and validation of MRI-derived deep learning score for non-invasive prediction of PD-L1 expression and prognostic stratification in head and neck squamous cell carcinoma.

Cancer imaging : the official publication of the International Cancer Imaging Society Feb 16, 2025
BACKGROUND: Immunotherapy has revolutionized the treatment landscape for head and neck squamous cell carcinoma (HNSCC) and PD-L1 combined positivity score (CPS) scoring is recommended as a biomarker for immunotherapy. Therefore, this study aimed to d...
Head and Neck Neoplasms Magnetic Resonance Imaging Immune Checkpoint Inhibitors B7-H1 Antigen Squamous Cell Carcinoma of Head and Neck Humans Prognosis Female Male Aged Middle Aged Adult Deep Learning Biomarkers, Tumor
View on PubMed DOI

New Perspectives and State of the Art in Interventional Radiotherapy (Brachytherapy) for Head and Neck Tumors.

Magyar onkologia Feb 10, 2025
AIM: This review aims to evaluate the role of interventional radiotherapy (IRT - brachytherapy) in the clinical management of head and neck (H&N) cancers, focusing on recent technological advancements and their impact on clinical outcomes.
Humans Artificial Intelligence Quality of Life Treatment Outcome Radiotherapy, Intensity-Modulated Brachytherapy Head and Neck Neoplasms Radiotherapy, Image-Guided Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
View on PubMed

Novel pre-spatial data fusion deep learning approach for multimodal volumetric outcome prediction models in radiotherapy.

Medical physics Feb 10, 2025
BACKGROUND: Given the recent increased emphasis on multimodal neural networks to solve complex modeling tasks, the problem of outcome prediction for a course of treatment can be framed as fundamentally multimodal in nature. A patient's response to tr...
Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Humans Deep Learning Treatment Outcome
View on PubMed DOI

Assessing multiple MRI sequences in deep learning-based synthetic CT generation for MR-only radiation therapy of head and neck cancers.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 8, 2025
PURPOSE: This study investigated the effect of multiple magnetic resonance (MR) sequences on the quality of deep-learning-based synthetic computed tomography (sCT) generation in the head and neck region.
Tomography, X-Ray Computed Female Aged Male Humans Head and Neck Neoplasms Middle Aged Magnetic Resonance Imaging Deep Learning Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC.

Hereditas Feb 6, 2025
BACKGROUND: Immunotherapy has introduced new breakthroughs in improving the survival of head and neck squamous cell carcinoma (HNSCC) patients, yet drug resistance remains a critical challenge. Developing personalized treatment strategies based on th...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Humans Machine Learning Prognosis Multiomics
View on PubMed DOI

A comparison of different machine learning classifiers in predicting xerostomia and sticky saliva due to head and neck radiotherapy using a multi-objective, multimodal radiomics model.

Biomedical physics & engineering express Feb 6, 2025
. Although radiotherapy techniques are a primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity and side effects. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on featu...
Machine Learning Tomography, X-Ray Computed Female Humans Male Middle Aged Head and Neck Neoplasms Aged Adult Radiomics Saliva Support Vector Machine Xerostomia Magnetic Resonance Imaging Bayes Theorem
View on PubMed DOI

An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Next-generation sequencing (NGS) genomic data offer valuable high-throughput genomic information for computational applications in medicine. Using genomic data to identify disease-associated genes to estimate cancer mortality risk remains challenging...
Head and Neck Neoplasms Neural Networks, Computer Fuzzy Logic Risk Assessment High-Throughput Nucleotide Sequencing Humans Neoplasms Deep Learning Genomics Squamous Cell Carcinoma of Head and Neck
View on PubMed DOI

Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning.

Scientific reports Feb 4, 2025
To develop a deep learning model using transfer learning for automatic detection and segmentation of neck lymph nodes (LNs) in computed tomography (CT) images, the study included 11,013 annotated LNs with a short-axis diameter ≥ 3 mm from 626 head an...
Neck Lymphatic Metastasis Male Middle Aged Deep Learning Image Processing, Computer-Assisted Lymph Nodes Head and Neck Neoplasms Tomography, X-Ray Computed Female Sensitivity and Specificity Humans
View on PubMed DOI

TransAnaNet: Transformer-based anatomy change prediction network for head and neck cancer radiotherapy.

Medical physics Jan 31, 2025
BACKGROUND: Adaptive radiotherapy (ART) can compensate for the dosimetric impact of anatomic change during radiotherapy of head-neck cancer (HNC) patients. However, implementing ART universally poses challenges in clinical workflow and resource alloc...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Head and Neck Neoplasms Retrospective Studies Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Automating the optimization of proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning.

Medical physics Jan 31, 2025
BACKGROUND: Proton pencil beam scanning (PBS) treatment planning for head and neck (H&N) cancers is a time-consuming and experience-demanding task where a large number of potentially conflicting planning objectives are involved. Deep reinforcement le...
Radiotherapy Dosage Humans Organs at Risk Proton Therapy Deep Learning Reinforcement Machine Learning Radiotherapy Planning, Computer-Assisted Head and Neck Neoplasms Automation
View on PubMed DOI
Popular Topics
Recent Journals