Study on the Staging and Prognosis Model of Bladder Cancer Based on Artificial Intelligence and Multimodal Omics Features
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 200
- 试验地点
- 1
- 主要终点
- Progression-free survival (PFS)
研究概览
简要总结
Firstly, we retrospectively gathered the patient information who compliant with the criteria from 2012 to 2023, encompassing basic information, clinical information, along with MRI images, blood/urine samples, and tissue samples, for conducting relevant analyses of radiomics. Subsequently, based on artificial intelligence technology, deep learning and machine learning models were established on the basis of MRI radiomics and pathological histomics. Ultimately, the following research aims were accomplished: 1. Primary research objective: To explore the role of artificial intelligence and multimodal omics features in the staging and prognosis monitoring of bladder cancer. 2. Secondary objective: To explore the correlations among radiomics, case histomics, and test omics.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with bladder cancer in preoperative examination;
- •Gender is not limited;
- •Age≥ 18 years old;
- •Be able to provide MRI images, pathological data and laboratory examination data before the operation;
- •Agree to provide basic personal clinical information and pathological and imaging data for scientific research use, and sign the informed consent form;
- •Agree to provide monitoring results during follow-up recurrence monitoring;
排除标准
- •Incomplete clinicopathological data;
- •Combined with upper tract urothelial carcinoma or previously diagnosed upper tract urothelial carcinoma;
- •Is participating in the rest of the clinical studies; Unable to cooperate with the relevant examinations of this project, and do not agree to sign the informed consent form.
结局指标
主要结局
Progression-free survival (PFS)
时间窗: 2013-
Progression-free survival (PFS) refers to the time from surgery until disease progression, the date of the last follow-up, or death from causes other than disease recurrence
Recurrence-Free Survival (RFS)
时间窗: 2013-
Recurrence-Free Survival (RFS)
Overall survival (OS)
时间窗: 2013-
Overall survival (OS) is defined as the duration from surgery to death or the date of the last follow-up.
次要结局
- Tumor Infiltration Status(2013-)
- Lymph node metastasis status(2013-)
研究者
Qiang Lv
principal investigator
The First Affiliated Hospital with Nanjing Medical University