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Clinical Trials/NCT07578246
NCT07578246Not yet recruitingNot Applicable

Evaluating The Applicability of LASMAR Scoring in Predicting Surgical Outcomes Of Hysteroscopic Myomectomy"

Ain Shams University0 sites88 target enrollmentStarted: June 1, 2026Last updated:
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Trial Snapshot

Phase
Not Applicable
Status
Not yet recruiting
Enrollment
88
Study OverviewStudy DesignEligibility CriteriaInvestigatorsRecords & IdentifiersSimilar Trials

Study Overview

Brief Summary

This study aims to evaluate the applicability of the LASMAR scoring system, derived from hysteroscopy, in predicting surgical outcomes in patients undergoing hysteroscopic myomectomy for submucous fibroids.

Detailed Description

This study aims to evaluate the applicability of LASMAR scoring in predicting surgical outcomes for cases of hysteroscopic myomectomy. By applying the LASMAR scoring system to patient , the study seeks to determine if the scoring can accurately predict operative time, completeness of resection, and complication rates.

Study Design

Study Type
Observational
Observational Model
Cohort
Time Perspective
Prospective

Eligibility Criteria

Ages
18 Years to 45 Years (Adult)
Sex
Female
Accepts Healthy Volunteers
No

Inclusion Criteria

  • •Women aged 18-45 years
  • •Type 0,1,2 Fibroids according to Figo classification.
  • •Symptomatic submucous fibroids: Symptoms include abnormal uterine bleeding, pelvic pain or pressure symptoms, infertility or recurrent pregnancy loss.
  • •Fibroids size ≤ 5 cm in diameter
  • •Confirmed diagnosis of leiomyoma by ultrasound .
  • •Hemodynamically Stable Patients: Patients with no significant anemia.

Exclusion Criteria

  • •Contraindications to hysteroscopy (e.g., Pregnancy, pyometra, active infection)
  • •Individuals with significant comorbidities (e.g., severe cardiovascular or respiratory diseases, bleeding diathesis).
  • •Cases requiring concurrent procedures (e.g., Laparoscopic surgeries).
  • •Fibroid Size>5 cm.

Investigators

Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

Yomna Ayman Salah Abbas

Doctor

Ain Shams University

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