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AI Models to Predict Thyroid Cartilage Invasion in Laryngeal Carcinoma
Sponsor: First Affiliated Hospital of Chongqing Medical University
Summary
This retrospective study was to develop and verify CT-based AI model to preoperatively predict the thyroid cartilage invasion of laryngeal cancer patients, so as to provide more accurate diagnosis and treatment basis for clinicians. In addition, the researchers investigated the prediction of survival outcomes of patients by the above optimal models.
Official title: CT-based Radiomics, Two-dimensional and Three-dimensional Deep Learning Models to Predict Thyroid Cartilage Invasion in Laryngeal Carcinoma: a Multicenter Study
Key Details
Gender
All
Age Range
18 Years - 81 Years
Study Type
OBSERVATIONAL
Enrollment
400
Start Date
2023-08-13
Completion Date
2024-10-13
Last Updated
2024-08-22
Healthy Volunteers
No
Conditions
Interventions
AI
Radiomics extracts quantitative information from medical images to generate high-dimensional feature vectors for analysis. It aims to provide insights into disease processes and improve diagnosis. Deep learning utilizes neural networks with multiple layers to learn complex patterns from data. In medical imaging, it enables accurate and efficient analysis for disease detection and diagnosis.
Locations (1)
The First Affiliated Hospital of Chongqing Medical University
Chongqing, China