AIMC Topic: Hypopharyngeal Neoplasms

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Identification of DSC2 as a Key Biomarker for Induction Chemotherapy Sensitivity in Locally Advanced Laryngeal and Hypopharyngeal Squamous Cell Carcinoma.

Journal of chemical information and modeling Jun 9, 2025
Patients with locally advanced laryngeal and hypopharyngeal squamous cell carcinoma (LA-LHSCC) urgently need precise treatment strategies to improve the prognosis due to severe laryngeal functional impairment following traditional surgery and chemora...
Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Laryngeal Neoplasms Hypopharyngeal Neoplasms Induction Chemotherapy Humans Carcinoma, Squamous Cell Biomarkers, Tumor
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Comparable Performance Between Automatic and Manual Laryngeal and Hypopharyngeal Gross Tumor Volume Delineations Validated With Pathology.

International journal of radiation oncology, biology, physics Jan 7, 2025
PURPOSE: Deep learning is a promising approach to increase reproducibility and time-efficiency of gross tumor volume (GTV) delineation in head and neck cancer, but model evaluation primarily relies on manual GTV delineations as reference annotation, ...
Humans Retrospective Studies Female Reproducibility of Results Hypopharyngeal Neoplasms Deep Learning Tumor Burden Laryngeal Neoplasms Laryngectomy Aged Sensitivity and Specificity Male Middle Aged
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Machine learning model to preoperatively predict T2/T3 staging of laryngeal and hypopharyngeal cancer based on the CT radiomic signature.

European radiology Jan 11, 2024
OBJECTIVES: To develop and assess a radiomics-based prediction model for distinguishing T2/T3 staging of laryngeal and hypopharyngeal squamous cell carcinoma (LHSCC) METHODS: A total of 118 patients with pathologically proven LHSCC were enrolled in t...
Radiomics Male Middle Aged Nomograms Aged Aged, 80 and over Adult Sensitivity and Specificity Contrast Media Neoplasm Staging Laryngeal Neoplasms Hypopharyngeal Neoplasms Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female
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Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on MRI using deep learning.

European radiology Jun 20, 2023
OBJECTIVES: To use convolutional neural network for fully automated segmentation and radiomics features extraction of hypopharyngeal cancer (HPC) tumor in MRI.
Image Processing, Computer-Assisted Magnetic Resonance Imaging Hypopharyngeal Neoplasms Humans Reproducibility of Results Deep Learning
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Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary study.

European radiology Feb 24, 2022
OBJECTIVES: This preliminary study aimed to develop a deep learning (DL) model using diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps to predict local recurrence and 2-year progression-free survival (PFS) in laryngeal an...
Hypopharyngeal Neoplasms Deep Learning Neoplasm Recurrence, Local Chemoradiotherapy Diffusion Magnetic Resonance Imaging Humans Prognosis Retrospective Studies
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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.
Retrospective Studies Female Aged Male Deep Learning Cohort Studies Logistic Models Lymph Nodes Humans Neural Networks, Computer Machine Learning Radiotherapy, Adjuvant Laryngeal Neoplasms Patient Selection Hypopharyngeal Neoplasms Squamous Cell Carcinoma of Head and Neck Otorhinolaryngologic Surgical Procedures Tumor Burden Neoplasm Staging Oropharyngeal Neoplasms Chemoradiotherapy, Adjuvant Neoplasm Grading Proportional Hazards Models Mouth Neoplasms
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A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial.

International journal of radiation oncology, biology, physics Jun 13, 2019
PURPOSE: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can seriously affect patients' quality of life. In this study, we developed a xerostomia prediction model with radiation treatment data using a 3-dimensio...
Hypopharyngeal Neoplasms Retrospective Studies Tomography, X-Ray Computed Deep Learning Pharyngeal Neoplasms ROC Curve Oropharyngeal Neoplasms Radiotherapy Planning, Computer-Assisted Submandibular Gland Humans Radiotherapy, Conformal Xerostomia Logistic Models Radiotherapy, Image-Guided Squamous Cell Carcinoma of Head and Neck Laryngeal Neoplasms Area Under Curve Parotid Gland
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Flex Robotic System in transoral robotic surgery: The first 40 patients.

Head & neck Oct 28, 2016
BACKGROUND: The Flex Robotic System is a new robotic device specifically developed for transoral robotic surgery (TORS).
Treatment Outcome Oropharyngeal Neoplasms Robotic Surgical Procedures Humans Aged Equipment Safety Operative Time Immunohistochemistry Patient Safety Hypopharyngeal Neoplasms Robotics Biopsy, Needle Adult Prospective Studies Male Equipment Design Natural Orifice Endoscopic Surgery Female Middle Aged
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Diagnosis of thyroid cartilage invasion by laryngeal and hypopharyngeal cancers based on CT with deep learning.

European journal of radiology Aug 1, 2025
OBJECTIVES: To develop a convolutional neural network (CNN) model to diagnose thyroid cartilage invasion by laryngeal and hypopharyngeal cancers observed on computed tomography (CT) images and evaluate the model's diagnostic performance.
Neoplasm Invasiveness Radiographic Image Interpretation, Computer-Assisted Laryngeal Neoplasms Hypopharyngeal Neoplasms Sensitivity and Specificity Male Humans Thyroid Cartilage Middle Aged Retrospective Studies Deep Learning Female Tomography, X-Ray Computed Aged Aged, 80 and over Adult
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