To Develop and Validate a Nasoendoscopic Intelligent Diagnostic System for Nasopharyngeal Carcinoma
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 1,000
- 试验地点
- 3
- 主要终点
- Pathological diagnosis
研究概览
简要总结
Nasopharyngeal carcinoma (NPC) occurs at a high frequency in southern China, northern Africa, and Alaska, with a reported incidence of 30 cases per 100 000 in Guangdong Province. Endoscopic examination and biopsy are the main methods used for detection and diagnosis of NPC. Early NPC patients achieve favourable prognoses after concurrent radiotherapy and chemotherapy in compassion with advanced NPC patients.
Here, the investigators focused on the utility of artificial intelligence to detect early NPC, which based on white light imaging (WLI) and Narrow-band imaging (NBI) nasoendoscopic examination. Having access to this unique population provides an unprecedented opportunity to investigate the effect of intelligent system on diverse nasopharyngeal lesions detection and develop a novel Computer-Aided Diagnosis System.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 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
- •Older than 18 years of age
排除标准
- •Refuse to sign the informed consent statement
- •Patients who have contraindications, e.g. coagulation dysfunction, drug allergy.
结局指标
主要结局
Pathological diagnosis
时间窗: baseline
All lesions, detected by either WLI or NBI, are biopsied. 2 experienced pathologists, who were blinded to the endoscopic and intelligent assessment, evaluate the pathological nature of the biopsied lesion independently, and 2 professors with over 10 years of experience in Otolaryngology and pathology department are consulted in cases of disagreement.
次要结局
- Lesion range(baseline)
研究者
Weiping Wen
Vice President of First Affiliated Hospital, Sun Yat-Sen University; President of sixth Affiliated Hospital, Sun Yat-Sen University
First Affiliated Hospital, Sun Yat-Sen University