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Endometrial Volume as a Predictor of Endometrial Pathology in Perimenopausal Uterine Bleeding Endometrial Volume as a Predictor of Endometrial Pathology in Perimenopausal Uterine Bleeding

M

Mansoura University

Status

Unknown

Conditions

Endometrial Disorder

Treatments

Diagnostic Test: endometrial volume 2D TVS

Study type

Interventional

Funder types

Other

Identifiers

NCT03351673
Endometrial volume

Details and patient eligibility

About

Endometrial thickness has been used as an indicator of risk for endometrial hyperplasia and carcinoma in asymptomatic perimenopausal women. However, there is no cutoff value in perimenopausal women and the same thickness does not express the same endometrial volume in different endometrium because uterine lengths may be different and endometrial irregularities may exist. Many studies assessed endometrial volume measured by three-dimensional (3D) TVS as a predictor of malignancy in women with postmenopausal bleeding. To our knowledge there is no study assess endometrial volume measured by two dimension TVS in prediction of endometrial pathology, however it is cheap and available than 3D TVS.

Enrollment

100 estimated patients

Sex

Female

Ages

45 to 55 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

*perimenopausal women with abnormal bleeding e.g. menorrhagia, metrorrhagia and polymenorrhea.

Exclusion criteria

*general or local causes of bleeding, drug intake or recent hormonal contraception

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

100 participants in 1 patient group

endometrial volume 2D TVS
Experimental group
Description:
perimenopausal women who bleed are examined by 2D TVS and the calculated endometrial volume using a specific formula and followed by endometrial biopsy for correlation with the pathological findings
Treatment:
Diagnostic Test: endometrial volume 2D TVS

Trial contacts and locations

1

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Central trial contact

Waleed Elrefaie, MD; Hanan Nabil, MD

Data sourced from clinicaltrials.gov

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