Role of acoustic radiation force-based elasticity imaging in endometrium pathologies.

Niger J Clin Pract

Department of Obstetrics and Gynecology, Baskent University, Istanbul, Turkey.

Published: October 2020

Backround: Ultrasonography is difficult to distinguish between endometrial pathologies and often requires curettage. ARFI (Acoustic Radiation Force-Based Elasticity Imaging) is a new ultrasonography elastography method. Using ARFI, it is possible to obtain information about the likelihood of the tissue benign or malignant.

Aim: The aim of this study is to evaluate the contribution of ARFI to differentiate endometrial pathologies in hysterectomy specimens.

Subjects And Methods: Our study was prospectively, January-May 2017, performed in randomly 45 cases of 41-91 years of age (mean 58.3 years) who have decided to have hysterectomy. Hysterectomy was performed for uterine prolapse and endometrial hyperplasia in elderly patients and menorrhagia in young patients. Pathology results were compared with ARFI values and endometrial thickness. ANNOVA test was used for the comparison of ARFI values.

Results: Pathology revealed 14 cases of endometrial atrophy, 11 cases of proliferative phase, 10 cases of polyp, 6 cases of endometrial hyperplasia, and 4 cases of endometrium cancer. There is a statistically significant difference between mean ARFI values of endometrium, subendometrium, and myometrium of the groups (P < 0.05). There was a statistically significant difference between the mean endometrial thickness of the groups (P < 0.05).

Conclusion: Endometrium ARFI contributes to the differential diagnosis of endometrial pathologies. Subendometrial and myometrial ARFI values decrease in polyps and increase in hyperplasia. Our study shows that the addition of subendometrium ARFI to gray-scale sonography before deciding on invasive procedures in endometrial pathologies may improve diagnostic accuracy. We concluded that further in vivo studies will establish the usefulness of this technique for preoperative diagnostic measures.

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Source
http://dx.doi.org/10.4103/njcp.njcp_589_18DOI Listing

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