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Predicting the Outcome of a Pregnancy of Unknown Location: What Can the Endometrial Stripe Thickness Reveal?

Authors :
Somayeh Hajiahmadi
Atoosa Adibi
Golnar Mosavi Sardashti
Sina Rasti
Source :
Journal of Diagnostic Medical Sonography. 39:9-14
Publication Year :
2022
Publisher :
SAGE Publications, 2022.

Abstract

Objective: To investigate the role of the uterine endometrial thickness and sonographic pattern as potential predictors for a pregnancy with an unknown location (PUL) and its possible outcomes. Materials and Methods: A convenient sample of 330 symptomatic extra preposition female patients were enrolled in this study with a diagnosis of PUL. The clinical variables of endometrial stripe thickness and endometrial sonographic pattern were determined with transvaginal sonography. These sonographic examinations (it seems that examination in this context is a countable noun) were conducted during the first 24 hours of referral, and their predictive values for PUL outcomes (normal intrauterine pregnancy (IUP), ectopic pregnancy (EP), and pregnancy loss) were assessed after clinical follow-up sessions provided a definite outcome. The statistical significance was set a priori at a P value < .05. Results: The mean initial endometrial stripe thickness among participants, with a normal IUP, was more than those patients with an abnormal pregnancy outcome ( P < .05). The optimum cut-off value for predicting a an EP, compared to a normal IUP was 11 mm and had a sensitivity of 73.3% and specificity of 39% ( P < .001). These results also demonstrated no statistically significant relationship between the PUL outcome and the categories of endometrial sonographic pattern ( P = .15). Conclusion: In this large cohort of patients, the endometrial stripe thickness of more than 11 mm, among those who were symptomatic and deemed as PUL, had the potential to predict ectopic pregnancy as an unlikely diagnosis.

Details

ISSN :
15525430 and 87564793
Volume :
39
Database :
OpenAIRE
Journal :
Journal of Diagnostic Medical Sonography
Accession number :
edsair.doi...........ba6f0609ffa20a2296643cf0132c3092