AIMC Topic: Tongue Neoplasms

Clear Filters Showing 1 to 10 of 20 articles

An assessment of the influence of trade-off optimization in commercial knowledge based planning library creation for tongue cancer patients.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Dec 6, 2024
This article aims to compare the dosimetric performance between knowledge-based plan (KBP) libraries with and without trade-off (TO) exploration using multicriterial optimization (MCO) for tongue cancer patients. The trade-off optimized library (KBP_...
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Tongue Neoplasms Knowledge Bases
View on PubMed DOI

Letter to the editor: Magnetic resonance imaging-based radiomics and deep learning models for predicting lymph node metastasis of squamous cell carcinoma of the tongue.

Oral surgery, oral medicine, oral pathology and oral radiology May 3, 2024
Magnetic Resonance Imaging Predictive Value of Tests Tongue Neoplasms Radiomics Humans Deep Learning Carcinoma, Squamous Cell Lymphatic Metastasis
View on PubMed DOI

Magnetic resonance imaging-based radiomics and deep learning models for predicting lymph node metastasis of squamous cell carcinoma of the tongue.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 3, 2024
OBJECTIVE: This study aimed to establish a combined method of radiomics and deep learning (DL) in magnetic resonance imaging (MRI) to predict lymph node metastasis (LNM) preoperatively in patients with squamous cell carcinoma of the tongue.
Carcinoma, Squamous Cell Aged Adult Humans Retrospective Studies Female Lymphatic Metastasis Tongue Neoplasms Radiomics Magnetic Resonance Imaging Middle Aged Male Predictive Value of Tests Deep Learning Nomograms
View on PubMed DOI

Implementing a deep learning model for automatic tongue tumour segmentation in ex-vivo 3-dimensional ultrasound volumes.

The British journal of oral & maxillofacial surgery Jan 3, 2024
Three-dimensional (3D) ultrasound can assess the margins of resected tongue carcinoma during surgery. Manual segmentation (MS) is time-consuming, labour-intensive, and subject to operator variability. This study aims to investigate use of a 3D deep l...
Imaging, Three-Dimensional Tongue Neoplasms Margins of Excision Deep Learning Ultrasonography Humans Prospective Studies Female Aged Male Middle Aged
View on PubMed DOI

Machine learning based on magnetic resonance imaging and clinical parameters helps predict mesenchymal-epithelial transition factor expression in oral tongue squamous cell carcinoma: a pilot study.

Oral surgery, oral medicine, oral pathology and oral radiology Dec 27, 2023
OBJECTIVES: This study aimed to develop machine learning models to predict phosphorylated mesenchymal-epithelial transition factor (p-MET) expression in oral tongue squamous cell carcinoma (OTSCC) using magnetic resonance imaging (MRI)-derived textur...
Pilot Projects Magnetic Resonance Imaging Retrospective Studies Humans Squamous Cell Carcinoma of Head and Neck Bayes Theorem Carcinoma, Squamous Cell Head and Neck Neoplasms Machine Learning Tongue Neoplasms Reproducibility of Results
View on PubMed DOI

Predictive modeling of dose-volume parameters of carcinoma tongue cases using machine learning models.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Oct 31, 2023
The aim of this study is to create a single institution-based machine learning model for a dose prediction generation tool for post-operative carcinoma of the tongue cases prospectively. Intensity-modulated radiotherapy (IMRT) plans for 20 patients w...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Machine Learning Tongue Neoplasms Humans
View on PubMed DOI

Advanced-stage tongue squamous cell carcinoma: a machine learning model for risk stratification and treatment planning.

Acta oto-laryngologica Feb 15, 2023
BACKGROUND: A significant number of tongue squamous cell carcinoma (TSCC) patients are diagnosed at late stage.
Humans Carcinoma, Squamous Cell Neoplasm Staging Machine Learning Risk Assessment Tongue Neoplasms Tongue Databases, Factual SEER Program United States Chemoradiotherapy Computer Simulation
View on PubMed DOI

Transoral robotic cordectomy for glottic carcinoma: a rapid review.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jun 22, 2022
OBJECTIVE: The objective of this study was to investigate feasibility, surgical, oncological, and functional outcomes of transoral robotic cordectomy (TORS-Co) and whether TORS-Co reported comparable outcomes of transoral laser microsurgery (TLM).
Treatment Outcome Robotics Robotic Surgical Procedures Tongue Neoplasms Laryngeal Neoplasms Humans Carcinoma, Squamous Cell
View on PubMed DOI

Deep learning model for tongue cancer diagnosis using endoscopic images.

Scientific reports Apr 15, 2022
In this study, we developed a deep learning model to identify patients with tongue cancer based on a validated dataset comprising oral endoscopic images. We retrospectively constructed a dataset of 12,400 verified endoscopic images from five universi...
Tongue Neural Networks, Computer ROC Curve Humans Retrospective Studies Tongue Neoplasms Deep Learning
View on PubMed DOI

Development of a radiomics and machine learning model for predicting occult cervical lymph node metastasis in patients with tongue cancer.

Oral surgery, oral medicine, oral pathology and oral radiology Dec 25, 2021
OBJECTIVE: We aimed to develop a predictive model for occult cervical lymph node metastasis in patients with tongue cancer using radiomics and machine learning from pretreatment contrast-enhanced computed tomography.
Retrospective Studies Lymph Nodes Neck Humans Machine Learning Lymphatic Metastasis Tongue Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals