NCT07319221已完成不适用
Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study
适应症
干预措施
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 40
- 试验地点
- 1
- 主要终点
- Number of root canals detected
研究概览
简要总结
to detect the Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Diagnostic
- 盲法
- Double (Participant, Outcomes Assessor)
入排标准
- 年龄范围
- 18 Years 至 40 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •A- Inclusion criteria:
- •Patients must be medically free from any systemic disease that can affect root canal treatment.
- •Age range of the patients should be 18-40 with permanent mandibular second molars indicated for root canal treatment.
- •No sex predilection.
- •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
- •Lower second molars which are non-restorable, having large perforations, external root resorption, vertical root fracture, internal root resorption, grade 2/3 mobility, previous successful/non-successful root canal treatment
- •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. 12
- •Not restorable teeth.
- •Abnormal anatomy and calcified canals.
- •Previous root canal treatment.
研究组 & 干预措施
morphology of canals in lower second mandibular molar
Experimental
Anatomical variations in root canal systems, such as the presence of an additional root canal, are common, and failure to detect all canals can lead to treatment failure.
干预措施: CBCT (Procedure)
Number of canals in lower second mandibular molar
Experimental
Number of canals in lower second mandibular molar
干预措施: AI (Procedure)
结局指标
主要结局
Number of root canals detected
时间窗: within one year
Detected by AI software
次要结局
未报告次要终点
研究者
Amr Mortada Tony AL-Hadary
B.D.S Dental College
Future University in Egypt
研究点 (1)
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