Study types
- article 9
- other 4
Condition tags
- adenomyosis 10
- endometriosis 7
- endometrioma 3
- mesh:D004715 3
- die_deep_infiltrating 2
- dysmenorrhea 1
- dyspareunia 1
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UNLABELLED: Predicting live birth after the first IVF/ICSI treatment is challenging, as many factors may interact to affect IVF/ICSI outcomes. Adenomyosis is one factor that impacts live birth rates. Machine learning algorithms have been sh…
STUDY QUESTION: Does endometriosis and/or adenomyosis, diagnosed using the International Deep Endometriosis Analysis (IDEA) group and the Morphological Uterus Sonographic Assessment (MUSA) group revised definitions, impact cumulative live b…
XGBoost-based machine learning models for predicting live birth rates following in vitro fertilization (IVF) treatment, incorporating ultrasound features of adenomyosis based on the Morphological Uterus Sonographic Assessment (MUSA) criteri…
XGBoost-based machine learning models for predicting live birth rates following in vitro fertilization (IVF) treatment, incorporating ultrasound features of adenomyosis based on the Morphological Uterus Sonographic Assessment (MUSA) criteri…
INTRODUCTION: Data regarding the impact of adenomyosis on the outcomes after in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) treatment are conflicting. Standardized diagnostic criteria are prerequisites for studying …
OBJECTIVE: To study the cumulative live birth rate (CLBR) after the first in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) treatment in women with or without deep-infiltrating endometriosis (DIE) and/or endometrioma d…
To determine the cumulative live birth rate (CLBR) after the first in vitro fertilization (IVF) or Intracytoplasmic sperm injection (ICSI) treatment in women with or without direct features of adenomyosis, using the revised Morphological Ut…
To determine the cumulative live birth rate (CLBR) after the first in vitro fertilization (IVF) treatment in women without direct features, but with or without indirect features of adenomyosis, described using the revised Morphological Uter…
To determine the predictive value of Morphological Uterus Sonographic Assessment (MUSA) group features of adenomyosis on cumulative live birth (CLB) after the first in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) tre…
INTRODUCTION: Studies that use standardized ultrasonographic criteria to diagnose adenomyosis in subfertile women are needed. These would improve the understanding of the disease burden and enable further studies on its impact on fertility …
To determine the prevalence of direct and indirect features of adenomyosis, as defined by the revised Morphological Uterus Sonographic Assessment (MUSA) group, in infertile women. Infertile women aged 25–39 years, scheduled for their first …
OBJECTIVE: To estimate the prevalence of endometrioma and deep infiltrating endometriosis (DIE), assessed by systematic transvaginal ultrasound examination, in women with subfertility accepted for their first assisted reproductive treatment…