跳至主要内容
临床试验/NCT06365905
NCT06365905招募中不适用

Non-Invasive Identification of Endometrial Cancer/Endometrial Atypical Hyperplasia With an AI-Based Classifier Applied to Transvaginal Ultrasound in Patients With Post-Menopausal Bleeding

Mayo Clinic3 个研究点 分布在 1 个国家目标入组 300 人开始时间: 2024年3月27日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
招募中
发起方
Mayo Clinic
入组人数
300
试验地点
3
主要终点
Accuracy of artificial intelligence (AI) algorithm applied to transvaginal ultrasound (TVUS)

研究概览

简要总结

This study evaluates if AI can be used with transvaginal ultrasound images for early detection of endometrial cancer or premalignant lesions.

详细描述

PRIMARY OBJECTIVE:

I. Prospective validation of an artificial intelligence (AI) algorithm applied to transvaginal ultrasound (TVUS) to identify patients with premalignant/malignant in a population of women with postmenopausal bleeding (PMB).

OUTLINE: This is an observational study.

Patients undergo a transvaginal ultrasound examination and endometrial sampling per standard of care and have their medical records reviewed on study.

研究设计

研究类型
Observational
观察模型
Case Only
时间视角
Prospective

入排标准

年龄范围
55 Years 至 —(Adult, Older Adult)
性别
Female
接受健康志愿者
否

入选标准

  • •Age ≥ 55 years
  • •At least one episode of postmenopausal bleeding (PMB)
  • •Endometrial biopsy available from at Mayo Clinic (MN, AZ, FL), Mayo Clinic Health System (MCHS), or an external institution
  • •Acceptance to participate in the study

排除标准

  • •Diagnostic tests performed more than 90 days apart
  • •Physical impediment/refusal to undergo transvaginal ultrasound (TVUS)

研究组 & 干预措施

Observational

Patients undergo a transvaginal ultrasound examination and endometrial sampling per standard of care and have their medical records reviewed on study.

干预措施: Non-Interventional Study (Other)

结局指标

主要结局

Accuracy of artificial intelligence (AI) algorithm applied to transvaginal ultrasound (TVUS)

时间窗: Baseline

Two static TVUS images (one longitudinal, one transversal) will be independently validated and compared to results of endometrial sampling. Outcomes from these will be compared with predictions made by the AI models for accuracy of assessing premalignant/malignant disease.

次要结局

未报告次要终点

研究者

发起方
Mayo Clinic
申办方类型
Other
责任方
Sponsor

研究点 (3)

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