The Role of Mean Platelet Volume on Distinction of Submucosal Myomas from Other Etiologies in Increased Endometrial Thickness
DOI:
https://doi.org/10.21613/GORM.2016.108Keywords:
Mean platelet volume, Endometrial thickness, Submucosal myomaAbstract
OBJECTIVE: The aim of the study was to determine whether it is possible to differentiate submucosal fibroids before interventional procedures based on mean platelet volume (MPV), in reproductive-age patients presenting with endometrial thickening and abnormal uterine bleeding.
STUDY DESIGN: This study included 581 reproductive-age women who underwent diagnostic procedures (curettage or operative hysteroscopy) and were subsequently divided into two groups based on clinico-pathological findings. The first group included those with benign endometrial pathology (control group, n=438), and the second group consisted of those with submucosal leiomyomas (n=143). The demographic characteristics and complete blood count (CBC) data of these patients were collected retrospectively, and comparisons were made between groups.
RESULTS: No statistically significant difference was found between the groups according to demographic features and CBC parameters such as hemoglobin levels and white blood count (p>0,05). Platelet counts were significantly higher and MPV values were significantly lower in submucosal leiomyoma patients compared with the control subjects (p<0,05).
CONCLUSIONS: MPV may be a useful predictive marker when differentiating submucosal leiomyoma from other benign causes of abnormal uterine bleeding. The ability to predict the possibility of the presence of submucosal leiomyoma before surgery can assist in determining the most appropriate type of invasive procedure.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
All the articles published in GORM are licensed with "Creative Commons Attribution 4.0 License (CC BY 4.0)". This license entitles all parties to copy, share and redistribute all the articles, data sets, figures and supplementary files published in this journal in data mining, search engines, web sites, blogs and other digital platforms under the condition of providing references.