Accuracy of Artificial Intelligence Technology in Detecting Periapical Lesions in Human Teeth. Diagnostic Accuracy Experimental Study.
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- CBCT scans
研究概览
简要总结
Aims to evaluate the accuracy of using Artificial intelligence software in detecting the presence of periapical lesion compared to CBCT imaging.
详细描述
In this research, patients referred to endodontic department in the university will undergo clinical examination (percussion, palpation) tests. These will be recorded. Then the patient will undergo a periapical radiograph to detect the presence of periapical lesion. Patients with periapical lesions will then undergo a cone beam computed tomography and this scan will be uploaded into the Artificial intelligence software to detect the accuracy of the software in detecting the presence of the periapical lesion. Any patient with a periapical lesion in need of root canal treatment will undergo the treatment.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Sequential
- 主要目的
- Diagnostic
- 盲法
- Single (Investigator)
入排标准
- 年龄范围
- 18 Years 至 50 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •All patients must be medically free from any systemic disease that can affect root canal treatment.
- •18 to 50 years old patients with permanent teeth presenting with periapical pathosis.
- •No sex predilection.
- •All patients must have good oral hygiene.
- •Restorable teeth
- •Positive patient's acceptance for participating in the study.
- •Patients able to sign informed consent
排除标准
- •Patients above 50 years or patients below 18 years.
- •Patients with very poor oral hygiene.
- •Pregnant women after taking detailed history and pregnancy test must be in the first visit.
- •Psychologically disturbed patients.
- •Teeth that have:
- •Periodontally affected with grade 2 or 3 mobility.
- •Not restorable teeth.
- •Abnormal anatomy and calcified canals
研究组 & 干预措施
cone beam computed tomography
detecting radiolucent periapical lesions using cone beam computed tomography
干预措施: Cone beam computed tomography (Other)
artificial intelligence software
Cone beam CT scan will be uploaded to artificial intelligence software to ensure that the software will detect radiolucent periapical lesion compared to Cone beam CT scans.
干预措施: artificial intelligence software (Other)
结局指标
主要结局
CBCT scans
时间窗: 1 year
Presence of periapical lesion on CBCT scans
次要结局
- Accuracy of Artificial intelligence software(1 year)
研究者
Mays Maher Albochi
Master Student
Future University in Egypt