AIMC Topic: Head and Neck Neoplasms

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Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck.

Physics in medicine and biology Nov 12, 2024
. Intensity modulated proton therapy (IMPT) is susceptible to uncertainties in patient setup and proton range. Robust optimization is employed in IMPT treatment planning to ensure sufficient coverage of the clinical target volume (CTV) in predefined ...
Proton Therapy Deep Learning Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Tomography, X-Ray Computed
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Diagnostic accuracy of radiomics and artificial intelligence models in diagnosing lymph node metastasis in head and neck cancers: a systematic review and meta-analysis.

Neuroradiology Nov 11, 2024
INTRODUCTION: Head and neck cancers are the seventh most common globally, with lymph node metastasis (LNM) being a critical prognostic factor, significantly reducing survival rates. Traditional imaging methods have limitations in accurately diagnosin...
Sensitivity and Specificity Radiomics Head and Neck Neoplasms Humans Artificial Intelligence Lymphatic Metastasis Magnetic Resonance Imaging Positron Emission Tomography Computed Tomography
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Clinical commissioning and introduction of an in-house artificial intelligence (AI) platform for automated head and neck intensity modulated radiation therapy (IMRT) treatment planning.

Journal of applied clinical medical physics Nov 6, 2024
BACKGROUND AND PURPOSE: To describe the clinical commissioning of an in-house artificial intelligence (AI) treatment planning platform for head-and-neck (HN) Intensity Modulated Radiation Therapy (IMRT).
Humans Artificial Intelligence Algorithms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated User-Computer Interface Head and Neck Neoplasms Organs at Risk
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Exploring patient stratification in head and neck squamous cell carcinoma using machine learning techniques: Preliminary results.

Current problems in cancer Nov 2, 2024
BACKGROUND: Head and Neck Squamous Cell Carcinoma (HNSCC) presents a significant challenge in oncology due to its inherent heterogeneity. Traditional staging systems, such as TNM (Tumor, Node, Metastasis), provide limited information regarding patien...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Neoplasm Staging Adult Male Middle Aged Humans Machine Learning Precision Medicine Prognosis Female Aged
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Image quality of virtual monochromatic and material density iodine images for evaluation of head and neck neoplasms using deep learning-based CT image reconstruction - A retrospective observational study.

European journal of radiology Oct 25, 2024
PURPOSE: To compare the quality of deep learning image reconstructed (DLIR) virtual monochromatic images (VMI) and material density (MD) iodine images from dual-energy computed tomography (DECT) for the evaluation of head and neck neoplasms with CT s...
Radiography, Dual-Energy Scanned Projection Contrast Media Radiographic Image Interpretation, Computer-Assisted Artifacts Adult Male Middle Aged Deep Learning Iodine Head and Neck Neoplasms Female Humans Aged Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed
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OSAIRIS: Lessons Learned From the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation.

Clinical oncology (Royal College of Radiologists (Great Britain)) Oct 18, 2024
Several studies report the benefits and accuracy of using autosegmentation for organ at risk (OAR) outlining in radiotherapy treatment planning. Typically, evaluations focus on accuracy metrics, and other parameters such as perceived utility and safe...
Male Deep Learning Humans Head and Neck Neoplasms Prostatic Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted
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Automated tumor localization and segmentation through hybrid neural network in head and neck cancer.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Oct 10, 2024
PURPOSE: Head and Neck (H&N) cancer accounts for 3% of cancer cases in the United States. Precise tumor segmentation in H&N is of utmost importance for treatment planning and administering personalized treatment dose. We aimed to develop an automatic...
Head and Neck Neoplasms Humans Neoplasm Staging Neural Networks, Computer Datasets as Topic Deep Learning
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Deep learning-based statistical robustness evaluation of intensity-modulated proton therapy for head and neck cancer.

Physics in medicine and biology Sep 20, 2024
. Previous methods for robustness evaluation rely on dose calculation for a number of uncertainty scenarios, which either fails to provide statistical meaning when the number is too small (e.g., ∼8) or becomes unfeasible in daily clinical practice wh...
Proton Therapy Uncertainty Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Deep Learning Head and Neck Neoplasms
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Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours.

Journal of applied clinical medical physics Sep 16, 2024
PURPOSE: This study evaluates deep learning (DL) based dose prediction methods in head and neck cancer (HNC) patients using two types of input contours.
Head and Neck Neoplasms Radiotherapy Dosage Algorithms Humans Organs at Risk Prognosis Radiotherapy, Intensity-Modulated Software Radiotherapy Planning, Computer-Assisted Deep Learning
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Machine Learning in Clinical Diagnosis of Head and Neck Cancer.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery Sep 14, 2024
OBJECTIVE: Machine learning has been effective in other areas of medicine, this study aims to investigate this with regards to HNC and identify which algorithm works best to classify malignant patients.
Aged Adult Male Machine Learning Algorithms Female Middle Aged Cohort Studies Head and Neck Neoplasms Humans
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