跳至主要内容
临床试验/NCT07704788
NCT07704788尚未招募不适用

Two Dimensional Versus Three Dimensional Transvaginal U/S With or Without SIS for the Evaluation of Cesarean Scar Defect

Sohag University0 个研究点目标入组 100 人开始时间: 2026年8月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
100
主要终点
Diagnostic agreement between 3D-TVUS and SIS in detecting cesarean scar defects, assessed using Cohen's kappa coefficient

研究概览

简要总结

Primary aim:

To assess the diagnostic agreement between 2D vs 3D TV U/S with or without SIS for the evaluation of cesarean scar defects and its correlation with symptoms.

Secondary aims:

To assess the relation between the size of the niche and the patient symptoms.

详细描述

Primary aim:

To assess the diagnostic agreement between 2D vs 3D TV U/S with or without SIS for the evaluation of cesarean scar defects and its correlation with symptoms. To compare both imaging modalities regarding assessment of cesarean scar defect parameters, including depth, length, width, anterior myometrial thickness, and residual myometrial thickness, as well as to evaluate procedure time, patient tolerability, and satisfaction.

Secondary aims:

To assess the relation between the size of the niche and the patient symptoms.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
20 Years 至 45 Years(Adult)
性别
Female
接受健康志愿者

入选标准

  • Women aged 20-45 years
  • History of at least one previous cesarean section
  • Interval since last cesarean section ranging from 6 months to 10 years
  • Willingness to participate and provide written informed consent

排除标准

  • Current pregnancy
  • Active pelvic infection or acute pelvic inflammatory disease
  • Large uterine fibroids distorting the uterine cavity
  • History of uterine surgery other than cesarean section (e.g., myomectomy)
  • Failure of SIS performance
  • Patients on any contraception methods

结局指标

主要结局

Diagnostic agreement between 3D-TVUS and SIS in detecting cesarean scar defects, assessed using Cohen's kappa coefficient

时间窗: 1 hour

次要结局

未报告次要终点

研究者

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

Emam Mohamed Sayed

Emam Mohamed Sayed

Sohag University

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