AI-Based Multimodal Multi-tasks Analysis Reveals Tumor Molecular Heterogeneity, Predicts Preoperative Lymph Node Metastasis and Prognosis in Papillary Thyroid Carcinoma

Last updated: February 2, 2024
Sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Overall Status: Active - Recruiting

Phase

N/A

Condition

Neoplasm Metastasis

Carcinoma

Treatment

N/A

Clinical Study ID

NCT06241092
SYSEC-KY-KS-2021-259
  • All Genders

Study Summary

This study involved a comprehensive analysis of 256 PTC patients from Sun Yat-sen Memorial Hospital of Sun Yat-sen University (SYSMH) and 499 patients from The Cancer Genome Atlas. DNA-based next-generation sequencing (NGS) and single-cell RNA sequencing (scRNA-seq) were employed to capture genetic alterations and TME heterogeneity. A deep learning multimodal model was developed by incorporating matched histopathology slide images, genomic, transcriptomic, immune cells data to predict LNM and disease-free survival (DFS).

Eligibility Criteria

Inclusion

Inclusion Criteria:

≥ 18 years of age Diagnosis of Papillary thyroid carcinoma at least one months before trialWilling to return for required follow-up (posttest) visits

Exclusion

Exclusion Criteria: The patient requires valve or other likely surgery The patient is unable to carry out anyphysical activity without discomfort The patient had thyroid ache within three months priorto enrollment The patient refuses to give informed consent The patient is a candidate forcoronary bypass surgery or something similar

Study Design

Total Participants: 256
Study Start date:
April 01, 2024
Estimated Completion Date:
January 20, 2025

Connect with a study center

  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

    Guangzhou, Guangdong 510000
    China

    Active - Recruiting

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