跳至主要内容
临床试验/NCT05791227
NCT05791227Enrolling By Invitation不适用

EchoNet-LVH-RCT: Blinded, Randomized Controlled Trial of Artificial Intelligence Guided Precision Assessment of Wall Thickness

Cedars-Sinai Medical Center1 个研究点 分布在 1 个国家目标入组 4,000 人开始时间: 2025年4月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
Enrolling By Invitation
入组人数
4,000
试验地点
1
主要终点
Proportion of studies for which the difference in wall thickness between preliminary to overread is greater than 0.3cm for LVIDd

研究概览

简要总结

To determine whether an integrated AI decision support can save time and improve accuracy of assessment of echocardiograms, the investigators are conducting a blinded, randomized controlled study of AI guided measurements of wall thickness in parasternal long axis view compared to sonographer measurements in preliminary readings of echocardiograms.

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
Triple (Participant, Care Provider, Investigator)

盲法说明

Measurements shown in Picture Archiving and Communication System (PACS) without direct communication between sonographer and cardiologist. Annotations are shown without identifiers on how the annotations were done. Cardiologists are blinded to source of preliminary interpretation.

入排标准

年龄范围
18 Years 至 100 Years(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •Sonographers and cardiologists at CSMC Echocardiography Lab
  • •All transthoracic echocardiogram studies performed in the CSMC echocardiogram lab

排除标准

  • •transthoracic echocardiogram studies not able to be measured by sonographers in run in period

研究组 & 干预措施

Sonographer Annotation

Active Comparator

Currently, sonographer technicians provide preliminary interpretations prior to validation and overreading by cardiologists. This staggered, stepwise evaluation allows for the introduction of AI decision support with minimal impact on patient care. Physicians are already used to adjusting the preliminary report given the variable training of sonographers and on the lookout for changes, variation, or adjustments that need to be made.

干预措施: Sonographer Evaluation (Diagnostic Test)

Artificial Intelligence Annotation

Experimental

A novel AI algorithm developed to assess measurements of left ventricular diameter during diastole (LVIDd), intraventricular septum thickness during diastole (IVSd) and left ventricular posterior wall thickness during diastole (LVPWd). The AI will provide preliminary assessments for cardiologist evaluation.

干预措施: AI Evaluation (Diagnostic Test)

结局指标

主要结局

Proportion of studies for which the difference in wall thickness between preliminary to overread is greater than 0.3cm for LVIDd

时间窗: 10 Minutes

Proportion of significant difference in LVIDd between preliminary to final assessment

Proportion of studies for which the difference in wall thickness between preliminary to overread is greater than 0.2cm for IVSd

时间窗: 10 Minutes

Proportion of significant difference in IVSd between preliminary to final assessment

Proportion of studies for which the difference in wall thickness between preliminary to overread is greater than 0.2cm for LVPWd

时间窗: 10 Minutes

Proportion of significant difference in LVPWd between preliminary to final assessment

mean absolute error (MAE) of IVSd between preliminary to overread between the two arms

时间窗: 10 Minutes

Measurement difference of IVSd between preliminary to final assessment

mean absolute error (MAE) of LVPWd between preliminary to overread between the two arms

时间窗: 10 Minutes

Measurement difference of LVPWd between preliminary to final assessment

mean absolute error (MAE) of LVIDd between preliminary to overread between the two arms

时间窗: 10 Minutes

Measurement difference of LVIDd between preliminary to final assessment

次要结局

  • mean absolute error (MAE) of wall thickness between cardiologist overread vs. historical clinical report wall thickness(10 Minutes)
  • Time to complete each imaging study(10 Minutes)
  • Effects of the AI systems integration with computer-human interaction (Blinding)(10 Minutes)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

David Ouyang

Staff Physician

Cedars-Sinai Medical Center

研究点 (1)

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