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AI Models to Predict Thyroid Cartilage Invasion in Laryngeal Carcinoma

NCT06463756 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2024-08-22

No results posted yet for this study

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.

Conditions

  • Laryngeal Carcinoma
  • Thyroid Cartilage

Interventions

OTHER

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.

Sponsors & Collaborators

  • Nankai University

    collaborator OTHER

  • First Affiliated Hospital of Chongqing Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
81 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-08-13
Primary Completion
2024-09-13
Completion
2024-10-13

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06463756 on ClinicalTrials.gov