NCT06356441尚未招募不适用
Artificial Intelligence-supported Reading Versus Standard Double Reading for the Interpretation of Magnetic Resonance Imaging in the Detection of Local Recurrence for Nasopharyngeal Carcinoma: a Randomised Controlled Multicenter Study
Sun Yat-sen University1 个研究点 分布在 1 个国家目标入组 10,400 人开始时间: 2024年4月最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 10,400
- 试验地点
- 1
- 主要终点
- sensitivity
研究概览
简要总结
The aim of this randomized controlled study is to investigate whether the previously developed artificial intelligence model can triage post-radiotherapy magnetic resonance images of patients with nasopharyngeal carcinoma and assist radiologists in their interpretation.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with treatment naive nasopharyngeal carcinoma who had finished radiotherapy for 6 months or more
- •The previous magnetic resonance imaging examination had showed complete remission in the primary site
- •Images are acquired using a 3T magnetic resonance imaging device, including unenhanced T1-weighted and T2-weighted sequences and contrast-enhanced T1-weighted sequences
排除标准
- •Patients are enrolled in this study for a specific magnetic resonance imaging scan and not for subsequent follow-up magnetic resonance imaging scans.
结局指标
主要结局
sensitivity
时间窗: through study completion, an average of 2 years
次要结局
- specificity(through study completion, an average of 2 years)
- total time of interpretation for all the MR images(through study completion, an average of 2 years)
- the rate of discussion with a third radiologist(through study completion, an average of 2 years)
- the sensitivity in the subgroups of different rT-stage(through study completion, an average of 2 years)
- the incidence of cases whose recurrent risks and contours cannot be provided by the AI model(through study completion, an average of 2 years)
- negative predictive value(through study completion, an average of 2 years)
- the detection rate of local recurrence in the AI-supported reading group(through study completion, an average of 2 years)
- positive predictive value(through study completion, an average of 2 years)
研究者
Fang-Yun Xie
professor
Sun Yat-sen University
研究点 (1)
Loading locations...
相似试验
已完成
不适用
Validation of an Artificial Intelligence-based Algorithm for Skeletal Age AssessmentBone AgeNCT03530098Stanford University1,903
已完成
不适用
Artificial Intelligence/Computer Guided Ridge Splitting for Treating Horizontal Ridge DefectsAlveolar Bone ResorptionDental Implant Failure NosNCT06135506Kafrelsheikh University22
招募中
不适用
Spirometry Interpretation Performance of Primary Care Clinicians With/Without AI SoftwareLung DiseaseNCT05933694Royal Brompton & Harefield NHS Foundation Trust228
已完成
不适用
The Research of AI Assistant Gastroscope TrainingGastroscopyTrainingArtificial IntelligenceNCT04682821Renmin Hospital of Wuhan University288
已完成
不适用
Exploring the Efficacy of Assistive Artificial Intelligence for Ultrasound Guided Regional Anesthesia in Residency TrainingRegional AnesthesiaNCT06667401Medical College of Wisconsin20
