E. Skovholt

To assess the prevalence and diagnostic accuracy of direct and indirect features of adenomyosis and the interrater reliability between less experienced examiners and one expert when predicting the presence of adenomyosis with transvaginal u…

Numerous studies have explored the diagnostic accuracy of adenomyosis features, yet the impact of hormone use on these assessments remains unexplored. The aim of our study was to assess if hormone use affects the prevalence and diagnostic v…

Ultrasound diagnosis of adenomyosis involves many diagnostic signs that vary in their diagnostic significance. Our objective was to validate a previously developed multivariate prediction model for diagnosing adenomyosis that weights predic…

STUDY OBJECTIVE: To determine if it is possible and safe to obtain adenomyosis tissue in vivo without removing the uterus in order to use it for further molecular investigations of adenomyosis, which would allow investigating the pathogenes…

OBJECTIVE: To develop a multivariate prediction model for diagnosing adenomyosis using predictors available through transvaginal ultrasonography and clinical examinations. DESIGN: Prospective observational single-center study. SETTING: Te…

To develop a multivariate prediction model for diagnosing adenomyosis using predictors available through transvaginal ultrasonography (TVUS) and clinical examinations. Prospective observational single-centre study at a Norwegian teaching un…

The ultrasound diagnosis of adenomyosis is mainly based on pattern recognition, which is subjective and inaccurate. The investigation of objective, quantitative markers is therefore central in order to improve the diagnosis of adenomyosis. …