Yasuhiko Okuda
No ORCID on file
· 3 papers in corpus
· active 2020-2026
PURPOSE: The magnetic resonance imaging (MRI)-based classification of adenomyosis subtypes helps predict reproductive and obstetric outcomes; however, background factors associated with use of assisted reproductive technology (ART) and live…
OBJECTIVES: The objective of this study was to observe the influence of laparoscopic adenomyomectomy on perinatal outcomes. MATERIALS AND METHODS: The retrospective cohort study included 43 pregnant cases with adenomyosis who did not under…
As the number of women who postpone their first pregnancy until their late 30s or early 40s is increasing, adenomyosis is more frequently encountered by obstetricians. Some studies have reported on the relationship between adenomyosis and p…