AIMC Topic: Head and Neck Neoplasms

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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...
Humans Tomography, X-Ray Computed Female Sensitivity and Specificity Lymph Nodes Head and Neck Neoplasms Neck Lymphatic Metastasis Male Middle Aged Deep Learning Image Processing, Computer-Assisted
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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...
Humans Retrospective Studies Neural Networks, Computer Image Processing, Computer-Assisted Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted
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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...
Humans Deep Learning Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Automation Radiotherapy Dosage Proton Therapy Reinforcement Machine Learning
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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...
Radiotherapy Setup Errors Head and Neck Neoplasms Feasibility Studies Radiotherapy Planning, Computer-Assisted Patient Positioning Male Middle Aged Female Deep Learning Aged Humans Adult Neural Networks, Computer Brain Neoplasms Retrospective Studies
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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 ...
Middle Aged Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Hyperspectral Imaging Margins of Excision Humans Artificial Intelligence Neural Networks, Computer Female Aged Male
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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...
Radiotherapy Dosage Monte Carlo Method Heavy Ion Radiotherapy Humans Deep Learning Time Factors Head and Neck Neoplasms Feasibility Studies Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Radiation Dosage
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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.
Ultrasonography Neck Humans Lymph Nodes Lymphatic Metastasis Neural Networks, Computer Squamous Cell Carcinoma of Head and Neck Machine Learning Head and Neck Neoplasms Female Radiomics Male Middle Aged
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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...
Oropharyngeal Neoplasms Stomatitis Risk Assessment Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Decision Trees Carcinoma, Squamous Cell Risk Factors Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Humans Machine Learning Algorithms Female
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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...
Humans Machine Learning Young Adult Adult Male Middle Aged Retrospective Studies Female Aged Aged, 80 and over Xerostomia Adolescent Heavy Ion Radiotherapy Head and Neck Neoplasms Proton Therapy
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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...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Leukoplakia, Oral Chromosomes, Human, Pair 9 Prognosis Retrospective Studies Humans Female Artificial Intelligence Aged Adult Male Middle Aged Genomics
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