The present randomized study was undertaken in order to compare the short-term results between total laparoscopic hysterectomy and abdominal hysterectomy in a centre with experience in laparoscopic surgery. From January 1997 to September 1998 inclusive, 102 women aged 44–71 years were randomly assigned to either total laparoscopic hysterectomy (n = 51 patients) or abdominal hysterectomy (n = 51 patients). The patients' demographic characteristics were similar in both groups. Average intra-operative blood loss was lower in laparoscopic hysterectomy than in abdominal hysterectomy (P ≤ 0.001). The average time employed for laparoscopic hysterectomy was 104.1 ± 26.98 min; according to the learning curve experienced in this study, the range was 72–163 min and the results after the plateau was reached showed no statistical difference between laparoscopic and abdominal operating times. The mean length of hospital stay was 2.38 ± 0.30 days in the laparoscopic hysterectomy group versus 6.23 ± 1.85 days in the abdominal hysterectomy group (P ≤ 0.001). In conclusion, this study shows that total laparoscopic hysterectomy can be effectively performed within reasonable time limits, provided that operators are experienced surgeons in operative laparoscopy and that operating times are comparable with those of abdominal hysterectomy.
Infertility is a global health issue affecting women and men of reproductive age with increasing incidence worldwide, in part due to greater awareness and better diagnosis. Assisted reproduction technologies (ART) are considered the ultimate step in the treatment of infertility. Recently, artificial intelligence (AI) has been progressively used in the many fields of medicine, integrating knowledge and computer science through machine learning algorithms. AI has the potential to improve infertility diagnosis and ART outcomes estimated as pregnancy and/or live birth rate, especially with recurrent ART failure. A broad-ranging review has been conducted, focusing on clinical AI applications up until September 2022, which could be estimated in terms of possible applications, such as ultrasound monitoring of folliculogenesis, endometrial receptivity, embryo selection based on quality and viability, and prediction of post implantation embryo development, in order to eliminate potential contributing risk factors. Oocyte morphology assessment is highly relevant in terms of successful fertilization rate, as well as during oocyte freezing for fertility preservation, and substantially valuable in oocyte donation cycles. AI has great implications in the assessment of male infertility, with computerised semen analysis systems already in use and a broad spectrum of possible AI-based applications in environmental and lifestyle evaluation to predict semen quality. In addition, considerable progress has been made in terms of harnessing AI in cases of idiopathic infertility, to improve the stratification of infertile/fertile couples based on their biological and clinical signatures. With AI as a very powerful tool of the future, our review is meant to summarise current AI applications and investigations in contemporary reproduction medicine, mainly focusing on the nonsurgical aspects of it; in addition, the authors have briefly explored the frames of reference and guiding principles for the definition and implementation of legal, regulatory, and ethical standards for AI in healthcare.
Endometrial cancer (EC) is a deleterious condition which strongly affects a woman’s quality of life. Although aggressive interventions should be considered to treat high-grade EC, a conservative approach should be taken into consideration for women wishing to conceive. In this scenario, we present an overview about the EC fertility-sparing approach state of art. Type I EC at low stage is the only histological type which can be addressed with a fertility-sparing approach. Moreover, no myometrium and/or adnexal invasion should be seen, and lymph-vascular space should not be involved. Regarding the pharmaceutical target, progestins, in particular medroxyprogesterone acetate (MPA) or megestrol acetate (MA), are the most employed agent in conservative treatment of early-stage EC. The metformin usage and hysteroscopic assessment is still under debate, despite promising results. Particularly strict and imperious attention should be given to the follow-up and psychological wellbeing of women, especially because of the double detrimental impairment: both EC and EC-related infertility consequences.