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Fetiform teratoma, another name for homunculus, is a rare form of mature teratoma that is highly differentiated and has parts that resemble a malformed fetus. We reported a case of ovarian Fetiform teratoma in a 38 years old nulliparous woman presented with right side abdominal distention of 10 years duration. An ultrasound revealed a heterogeneous pelvic cystic mass that ranged in appearance from fully hyperechoic to fully hypoechoic, suggesting mature cystic teratoma.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Taiwan United Birth-Promoting Experts Fertility Clinic, Tainan, Taiwan.
Objectives: This study aimed to investigate the correlation of ovarian sensitivity index (OSI) and clinical parameters in IVF treatments.
Methods: IVF data files between January 2011 and December 2020 in a single unit were included. The primary outcome measure was the correlation between the OSI and clinical pregnancy and live birth rates.
Cureus
November 2024
Department of Obstetrics and Gynecology, Fertility Institute, Assisted Reproduction Unit, Athens, GRC.
The study focuses on spontaneous conception after menopause in a woman with primary ovarian insufficiency (POI), with an emphasis on the role of anti-Müllerian hormone (AMH) in fertility management. This case involves a 33-year-old woman with POI who has experienced both aided and spontaneous pregnancies. She had low AMH and high follicle-stimulating hormone (FSH) levels, which typically indicate a limited ovarian reserve.
View Article and Find Full Text PDFCureus
December 2024
Obstetrics and Gynaecology, Umm Al-Qura University, Makkah, SAU.
Introduction: For women of reproductive age, oral contraceptives (OCs) are a well-liked and practical way to control pregnancy. OCs are also used to treat acne, irregular uterine bleeding, and premenstrual syndrome. However, there are false beliefs regarding their benefits and risks.
View Article and Find Full Text PDFJ Gynecol Obstet Hum Reprod
December 2024
Endoscopy Unit, Glenfield Hospital, University Hospitals of Leicester, NHS Trust, Leicester, United Kingdom.
In-vitro fertilization (IVF) has been a transformative advancement in assisted reproductive technology. However, success rates remain suboptimal, with only about one-third of cycles resulting in pregnancy and fewer leading to live births. This narrative review explores the potential of artificial intelligence (AI), machine learning (ML), and deep learning (DL) to enhance various stages of the IVF process.
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