Joost Nederend

ObjectivesDifferent noninvasive imaging methods to predict the chance of malignancy of ovarian tumors are available. However, their predictive value is limited due to subjectivity of the reviewer. Therefore, more objective prediction models…

Study objective: The aim of this study was to characterise the severity of adenomyosis on MRI in infertile women, and to assess if MRI characteristics of adenomyosis severity are associated with worse IVF/ICSI pregnancy outcomes versus male…

Development of a multivariate prediction model based on MRI and clinical parameters for histological adenomyosis diagnosis. This single centre retrospective cohort study took place in the gynaecological department of a referral hospital. In…

Study Objective: Development of a prediction tool for histopathological adenomyosis diagnosis after hysterectomy based on MRI and clinical parameters. Design: Single-centre retrospective cohort study Setting: Gynaecological department of a …

Study objectivesTo assess the effect of adenomyosis, endometriosis and combined adenomyosis and endometriosis, diagnosed on MRI, on IVF/ICSI outcomes versus male subfertility controls.Study designThis single-centre matched retrospective coh…

INTRODUCTION: Magnetic resonance imaging (MRI) diagnosis of adenomyosis is considered the most accurate non-invasive technique, but remains subjective, with no consensus on which diagnostic parameters are most accurate. We aimed to systemat…

Systematically review existing literature on how adenomyosis can be objectively quantified on MRI and review the diagnostic performance of these objective characteristics compared to histopathological diagnosis. We searched databases Pubmed…