Objective: To estimate the intercycle variability of antral follicle counts (AFCs) and ovarian volume, as measured by using three-dimensional ultrasound, and to compare these to the variation in basal FSH levels.
Design: Prospective study.
Setting: University-based assisted conception unit.
Patient(s): One hundred women undergoing two cycles of assisted reproductive technology.
Intervention(s): Transvaginal three-dimensional ultrasound assessment and venepuncture in the early follicular phase of the menstrual cycle, immediately before assisted reproductive technology.
Main Outcome Measure(s): Intercycle variability of AFC, ovarian volume, and basal FSH.
Result(s): The limits of agreement between cycles were +4.03 and -3.71 for AFC, +2.67 and -3.03 cm(3) for ovarian volume, and +4.36 and -4.52 IU/L for FSH levels. The AFC showed the least degree of variation, with a range of 0.48 times its own mean, in contrast to corresponding values of 0.73 and 1.29 for ovarian volume and basal FSH levels, respectively. The intraobserver variability for AFC and ovarian volume and the intraassay variability for FSH were 0.37, 0.17, and 0.42 times the mean of those respective variables.
Conclusion(s): The AFC demonstrates a lower intercycle variability than do ovarian volume and basal FSH level. The observed intercycle variability of the AFC may primarily be caused by observer variability, and the true biological variation may be minimal.
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http://dx.doi.org/10.1016/j.fertnstert.2007.10.028 | DOI Listing |
PLoS Med
January 2025
Department of Gynecology and Reproductive Medicine, University Hospital Jena, Friedrich Schiller University Jena, Jena, Germany.
Background: There is indication that the fallopian tubes might be involved in ovarian cancer pathogenesis and their removal reduces cancer risk. Hence, bilateral salpingectomy during hysterectomy or sterilization, so called opportunistic salpingectomy (OS), is gaining wide acceptance as a preventive strategy. Recently, it was discussed whether implementation of OS at other gynecologic surgery, e.
View Article and Find Full Text PDFAbdom Radiol (NY)
January 2025
Jinshan Hospital of Fudan University, Shanghai, China.
Objective: This study aimed to investigate the diagnostic performance of Follicle numbers measured on ultrasound (US), conventional magnetic resonance imaging (2D MRI), and three-dimensional (3D) MRI in patients with polycystic ovary syndrome (PCOS) and to compare the diagnostic efficacy of these imaging modalities.
Method: In this prospective study, 58 PCOS patients and 60 healthy women underwent US, conventional 2D MRI, and 3D MRI. Clinical laboratory tests and ovarian volume were compared between PCOS and control groups.
Arch Dis Child
January 2025
Pediatrics, Erasmus MC, Rotterdam, Netherlands
Objective: Impaired fetal and infant growth may cause alterations in developmental programming of the hypothalamic-pituitary-gonadal axis and subsequently pubertal development. We aimed to assess associations between fetal and infant growth and pubertal development.
Design: Population-based prospective birth cohort.
Top Companion Anim Med
January 2025
Department of Small Animal Clinic, Centre of Rural Sciences, Federal University of Santa Maria (UFSM), Rio Grande do Sul State, Brazil.
Few studies today address trans-operative analgesia provided by tramadol without local anesthetics for intra-abdominal procedures. The objective of this study was to assess the efficacy of trans-operative analgesia provided by epidurally administered tramadol in cats undergoing elective ovariohysterectomy. For this purpose, 16 healthy queens were randomly assigned to participate in one of two groups: GC, control group, 0.
View Article and Find Full Text PDFBackground: High-grade serous ovarian cancer (HGSOC) remains one of the most challenging gynecological malignancies, with over 70% of ovarian cancer patients ultimately experiencing disease progression. The current prognostic tools for progression-free survival (PFS) in HGSOC patients have limitations. This study aims to develop an explainable machine learning (ML) model for predicting PFS in HGSOC patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!