MedPath

Adenomyosis Imaging,Histo, Clinical

Conditions
Adenomyosis
Registration Number
NCT07237932
Lead Sponsor
Kafrelsheikh University
Brief Summary

The goal of this clinical trial is to identify and compare the results of imaging studies and evaluating adenomyosis features and post hysterectomy results and their clinical relievants as well as to describe classification for adenomyosis based on one or a combination of clinical, imaging and histopathological features.

Main questions it aim to answer:

What's the relation between clinical symptoms ,maging and histopathological classification of adenomyosis? Research will identify relationships between clinical symptoms, imaging and histopathological classification of adenomyosis Participants will undergo transvaginal ultrasound, non contrast pelvic MRI, hysterectomy then histopathological examination for their uterus

Detailed Description

Not available

Recruitment & Eligibility

Status
ENROLLING_BY_INVITATION
Sex
Female
Target Recruitment
32
Inclusion Criteria

Age from 35 to 55 years old female Multipara women No previous treatment for uterine adenomyosis within three months Women with heavy menstrual bleeding and dysmenorrhoea Women who completed their families Patient failed medical treatment and hysterectomy is the only remaining line for treatment -

Exclusion Criteria

Patients not candidate for hysterectomy Positive pregnancy test Patients with contraindications for MRI such as patients with pacemakers, claustrophobia,or other implanted electronic devices Inadequate image quality due to motion artifact

-

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Classifications of adenomyosis12 months

Class of adenomyosis according to imaging, histopathology and clinical outcomes

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Kafr elsheikh university

🇪🇬

Kafr ash Shaykh, Egypt

Kafr elsheikh university
🇪🇬Kafr ash Shaykh, Egypt

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.