The original version of this paper included errors in Fig. 3. The corrected Fig. 3 is presented here.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00247-020-04665-6 | DOI Listing |
J Ovarian Res
January 2025
Reproductive Medicine Center, Department of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age. It is characterized by symptoms such as hyperandrogenemia, oligo or anovulation and polycystic ovarian, significantly impacting quality of life. However, the practical implementation of machine learning (ML) in PCOS diagnosis is hindered by the limitations related to data size and algorithmic models.
View Article and Find Full Text PDFSci Rep
December 2024
INRAE, CNRS, Université de Tours, PRC, Nouzilly, 37380, France.
Ovaries are of paramount importance in reproduction as they produce female gametes through a complex developmental process known as folliculogenesis. In the prospect of better understanding the mechanisms of folliculogenesis and of developing novel pharmacological approaches to control it, it is important to accurately and quantitatively assess the later stages of ovarian folliculogenesis (i.e.
View Article and Find Full Text PDFCurr Oncol
December 2024
Department of Digestive Surgery and Digestive Surgical Oncology, Jules Bordet Institute, The Brussels University Hospital (H.U.B), Université Libre de Bruxelles (ULB), Meylemeersch Street 90, 1070 Brussels, Belgium.
Ovarian cancer (OC) is diagnosed at a locally advanced stage in two-thirds of cases. The first line of treatment consists of cytoreductive surgery (CRS) combined with neoadjuvant and/or adjuvant chemotherapy. However, CRS can be associated with high rates of postoperative complications (POCs), and detection of fragile patients at high risk of POCs is important.
View Article and Find Full Text PDFEur J Obstet Gynecol Reprod Biol
December 2024
Department of Interdisciplinary Medicine, University of Bari 'Aldo Moro', Bari, Italy; Gynaecologic Oncology Unit, IRCCS Istituto Tumori 'Giovanni Paolo II', Bari, Italy.
Background: Poly (ADP-ribose) polymerase inhibitors (PARPis) are effective treatment options for patients with advanced ovarian cancer (OC). A typical adverse event (AE) of these agents is haematological toxicity, which represents the leading cause of treatment modification and discontinuation. This systematic review and meta-analysis aimed to analyse the risk of haematological AEs, including anaemia, neutropenia and thrombocytopenia due to the use of PARPis in patients with OC.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!