A clinical scoring system for the diagnosis of adenomyosis.

Abstract

Objective: To develop a scoring system using clinical evaluation methods to predict the presence of adenomyosis.

Materials and methods: A cohort of 232 patients who underwent hysterectomy for benign gynecologic disorders was prospectively enrolled. A detailed anamnesis was obtained and physical/pelvic examinations with trans-vaginal ultrasound imaging were performed one day before the hysterectomy. The diagnosis of adenomyosis was based on histopathologic examination. Findings were compared between patients with (n=55) and without (n=166) adenomyosis. Factors associated with adenomyosis were assessed with regression analysis and odds ratios (OR) were calculated. The variables found to be significant were chosen for the scoring system. Receiver operating characteristic analysis was carried out to find the cut-off values for these variables.

Results: Number of parity, dyspareunia and dysmenorrhea visual analogue scale (VAS) scores, age of menarche, presence of uterine tenderness and detection of heterogeneous myometrium and myometrial cysts during ultrasonography were found to be the significant parameters. OR for the presence of myometrial heterogeneity, myometrial cysts, uterine tenderness were 27.2, 3.6 and 9.3 respectively. Cut-off values were calculated; 3 for parity (OR=2.8), 13-years for menarche (OR=1.6), 2 for dyspareunia VAS scores (OR=1.9) and 4 for dysmenorrhea VAS scores (OR=1.2). The total sum of maximum OR that a patient can obtain was calculated as 47.6 and this value was assumed to predict the presence of adenomyosis 100%. The multiplication of the sum of the OR in a patient by 2.1 (100/47.2) was found to have a predictive ability for the presence of adenomyosis.

Conclusion: A scoring system is developed to predict adenomyosis non-invasively based on clinical evaluation.