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Diagnosing Deep Endometriosis Using Transvaginal Elastosonography.
- Source :
-
Reproductive Sciences . Jul2020, Vol. 27 Issue 7, p1411-1422. 12p. - Publication Year :
- 2020
-
Abstract
- Transvaginal ultrasound (TVUS) and MRI are currently two mainstream imaging techniques used to diagnose deep endometriosis (DE) with comparable accuracy, but there is still ample room for improvement. As endometriotic lesions progress to fibrosis concomitant with the increase in tissue stiffness, transvaginal elastosonography (TVESG) is well-suited for diagnosing DE. To test the hypothesis that lesional stiffness as measured by TVESG correlates with the extent of lesional fibrosis, the markers of progression, hormonal receptor expression, and vascularity, we recruited 30 patients suspected to have DE who went through pelvic examination, TVUS and/or MRI, and TVESG and were ultimately diagnosed by histology. Their lesional tissue samples were subjected to immunohistochemistry analysis of markers for epithelial-mesenchymal transition (EMT), fibroblast-to-myofibroblast transdifferentiation (FMT), estrogen and progesterone receptors (ERβ and PR), microvessel density (MVD), and vascularity, as well as quantification of lesional fibrosis. We found that pelvic examination, TVUS, and MRI detected 83.3%, 66.7%, and 83.3% of all DE cases, respectively, while TVESG detected them all. The lesions missed by pelvic exam, TVUS and MRI were significantly smaller than those detected but nonetheless had higher lesional stiffness. Lesional stiffness correlated closely and positively with the extent of lesional fibrosis, negatively with the markers of EMT, MVD, vascularity, and PR expression, but positively with the marker for FMT and ERβ. Thus, through the additional use of information on differential stiffness between DE lesions and their surrounding tissues, TVESG improves diagnostic accuracy, provides a ballpark estimate on the developmental stage of the lesions, and may help clinicians choose the best treatment modality. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19337191
- Volume :
- 27
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Reproductive Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 143595138
- Full Text :
- https://doi.org/10.1007/s43032-019-00108-2