Effectiveness of CadAI-B for Breast
评估 CadAI-B 对乳腺有效性的多读者多案例回顾性研究
The purpose of this study is to evaluate the effectiveness of lesion detection and diagnosis-aiding software (CadAI-B for Breast) during ultrasound (US) examination
研究概览
详细说明
CadAI-B for Breast is a real-time artificial intelligence (AI) diagnosis system designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. The primary objective of the study is to evaluate the effectiveness of CadAI-B in the assistance of detection and diagnosis of breast cancer by comparing the clinical performance of physicians before and after using CadAI-B in their ultrasound reading. The secondary objective of this study is to evaluate the sensitivity and specificity using CadAI-B for US examinations.
研究类型
注册 (实际的)
联系人和位置
学习地点
-
-
-
Seoul、韩国、03722
- Yonsei University Severance Hospital
-
-
参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
Mainly recruited from a tertiary hospital but no limitation of enrollment
描述
Inclusion Criteria:
- Women who underwent breast US examination
- Women with breast cancer (DCIS or invasive cancer) diagnosed via biopsy
- Women who had been followed for more than 2 years after initial US examination
Exclusion Criteria:
- women who had breast implants
- women who had US images containing artifacts affecting the review of images
学习计划
研究是如何设计的？
设计细节
- 观测模型：COHORT
- 时间观点：RETROSPECTIVE
队列和干预
团体/队列 |
干预/治疗 |
|---|---|
|
Cancer group
confirmed as a breast cancer (ductal carcinoma in situ (DCIS) or invasive cancer) through the subsequent biopsy conducted within following 1 year of the ultrasound exam. |
CadAI-B for Breast is designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. |
|
Benign group
Either confirmed as a benign through the subsequent biopsy conducted within following 1 year of the ultrasound exam or showing stability on more than 2 years of imaging follow-up after initial diagnosis |
CadAI-B for Breast is designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. |
|
Normal group
Interpreted as Breast Imaging Reporting and Data System (BI-RADS) category 1 (Negative) with no cancers on the ultrasound exam |
CadAI-B for Breast is designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. |
研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Area Under the LROC Curve
大体时间：6 weeks
|
Area Under the Localization Receiver Operating Characteristic (LROC) Curve |
6 weeks
|
次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Lesion detection sensitivity and specificity
大体时间：6 weeks
|
The mean sensitivity and specificity of 15 readers were calculated and compared between the aided and unaided sessions. |
6 weeks
|
合作者和调查者
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
此信息直接从 clinicaltrials.gov 网站检索，没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求，请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改，我们的网站上也会自动更新.