Correlation between Anatomopathological Aspects and Pelvic Pain in Women with Deep Infiltrating Endometriosis

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Objective  To correlate the morphological aspects with pelvic pain in women with deep infiltrating endometriosis. Methods  A retrospective study with 67 women with deep endometriosis who underwent surgical treatment in a tertiary hospital from 2007 to 2017. The following variables were considered: age, parity, body mass index, site of involvement, hormonal treatment before surgery, pelvic pain, and morphometric analysis. The histological slides of the surgical specimens were revised and, using the ImageJ software for morphometric study, the percentages of stromal/glandular tissues were calculated in the histological sections. Results  The mean age of the women was 38.9 ± 6.5 years. The mean pain score was 8.8 ± 1.9 and the mean time of symptomatology was 4.7 ± 3.5 years, with 87% of the patients undergoing hormone treatment prior to surgery. The average expression of CD10, CK7, and S100 markers was 19.5 ± 11.8%, 9.4 ± 5.9%, and 7.9 ± 5.8% respectively. It was found that the greater the expression of CD10, the greater the level of pain (p = 0.02). No correlation was observed between the expression of CD10, CK7, and S100 markers and age and duration of symptoms. Conclusion  Women with deep infiltrating endometriosis have a positive association between the level of pain and the fibrosis component in the endometrial tissue's histological composition.

Cite

CITATION STYLE

APA

Yela, D. A., Silva, M. S. S., Eloy, L., & Benetti-Pinto, C. L. (2023). Correlation between Anatomopathological Aspects and Pelvic Pain in Women with Deep Infiltrating Endometriosis. Revista Brasileira de Ginecologia e Obstetricia, 45(12), E770–E774. https://doi.org/10.1055/s-0043-1772473

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free