AI-Based Multimodal Multi-tasks Analysis Reveals Tumor Molecular Heterogeneity, Predicts Preoperative Lymph Node Metastasis and Prognosis in Papillary Thyroid Carcinoma: A Retrospective Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 256
- 试验地点
- 1
- 主要终点
- Lymph node metastasis
研究概览
简要总结
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).
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •≥ 18 years of age Diagnosis of Papillary thyroid carcinoma at least one months before trial Willing to return for required follow-up (posttest) visits
排除标准
- •The patient requires valve or other likely surgery The patient is unable to carry out any physical activity without discomfort The patient had thyroid ache within three months prior to enrollment The patient refuses to give informed consent The patient is a candidate for coronary bypass surgery or something similar
结局指标
主要结局
Lymph node metastasis
时间窗: 2021.10.1
Lymph node metastasis is frequently influenced by a myriad of factors, and tumor heterogeneity stands out as a significant contributing element.
次要结局
- Disease-free survival(2021.10.1)
研究者
Yunfang Yu
Dr.
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University