Multimodal Al for Precision Diagnosis of Esophageal Cancer
试验速览
- 阶段
- 不适用
- 状态
- 终止
- 发起方
- 入组人数
- 264
- 试验地点
- 1
研究概览
简要总结
This study intends to construct two multimodal deep learning models: one for the diagnosis of esophageal cancer and the prediction of invasive depth to assess suitability for endoscopic resection; the other model, based on this, classifies endoscopic non-resectable patients into different degrees of invasion to further explore the differences in the sensitivity and survival of AI-predicted benign and malignant tumors in patients' responses to NAT, thereby providing reliable decision support for precise individualized treatment. This aspect has rarely been addressed in previous studies.
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 80 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Age ≥18 years.
- •Histologically confirmed or clinically suspected esophageal squamous cell carcinoma (ESCC).
- •Availability of pre-treatment endoscopic images and contrast-enhanced chest/upper abdominal CT scans.
- •Availability of complete clinical and pathological data.
- •Patients who underwent endoscopic resection (ESD/EMR) or esophagectomy with pathological assessment of tumor invasion depth.
- •Adequate image quality for analysis.
- •Written informed consent (for prospective cohorts, if applicable).
排除标准
- •Histology other than squamous cell carcinoma.
- •Prior treatment for esophageal cancer before baseline imaging, including chemotherapy, radiotherapy, immunotherapy, or endoscopic resection.
- •Distant metastatic disease at diagnosis.
- •Incomplete clinical, imaging, or pathological data.
- •Poor-quality CT or endoscopic images unsuitable for analysis.
- •History of another active malignancy within the past 5 years.
- •Recurrent esophageal cancer.
研究组 & 干预措施
NAT +surgery
干预措施: NAT (Other)
NAT +surgery
干预措施: surgery (Other)
ESD+surgery
干预措施: ESD (Other)
ESD+surgery
干预措施: surgery (Other)
ESD
干预措施: ESD (Other)
研究者
Quan-Lin Li
Professor
Shanghai Zhongshan Hospital
