Objective: The likelihood of timely treatment for cervical cancer increases with timely detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells were established because manual identification requires skilled pathologists and is time consuming and prone to error. The purpose of this systematic review is to evaluate the diagnostic performance of artificial intelligence (AI) technologies for the prediction, screening, and diagnosis of cervical cancer and pre-cancerous lesions. Materials and Methods: Comprehensive searches were performed on three databases: Medline, Web of Science Core Collection (Indexes = SCI-EXPANDED, SSCI, A & HCI Timespan) and Scopus to find papers published until July 2022. Articles that applied any AI technique for the prediction, screening, and diagnosis of cervical cancer were included in the review. No time restriction was applied. Articles were searched, screened, incorporated, and analyzed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Results: The primary search yielded 2538 articles. After screening and evaluation of eligibility, 117 studies were incorporated in the review. AI techniques were found to play a significant role in screening systems for pre-cancerous and cancerous cervical lesions. The accuracy of the algorithms in predicting cervical cancer varied from 70% to 100%. AI techniques make a distinction between cancerous and normal Pap smears with 80–100% accuracy. AI is expected to serve as a practical tool for doctors in making accurate clinical diagnoses. The reported sensitivity and specificity of AI in colposcopy for the detection of CIN2+ were 71.9–98.22% and 51.8–96.2%, respectively. Conclusion: The present review highlights the acceptable performance of AI systems in the prediction, screening, or detection of cervical cancer and pre-cancerous lesions, especially when faced with a paucity of specialized centers or medical resources. In combination with human evaluation, AI could serve as a helpful tool in the interpretation of cervical smears or images.

Tortorella L, et al. J Gynecol Oncol. 2020 Oct;32:e11. https://doi.org/10.3802/jgo.2021.32.e11

Researchers have been studying COVID-19 from day one, but not much is known about the impact of COVID-19 on the reproductive system, specifically the female reproductive system. There has been substantial anecdotal and media coverage on the effect of COVID-19 on the female reproductive system and changes in the menstrual cycle, but so far available data are not robust enough to draw firm conclusions about the topic. This article was carried out to present already published studies on the correlation between SARS-CoV-2 infection and menstrual cycle changes. A systematic literature search was conducted on the Medline, Scopus, and Cochrane Library databases in accordance with the PRISMA guidelines. Three studies were finally included in the review. The findings of the studies indicate changes in menstrual volume and changes in menstrual cycle length as consequences of SARS-CoV-2 infection; the latter was also the most common menstrual irregularity reported by the included studies. Women have mainly reported decreased menstrual volume and a prolonged cycle. The findings also indicate that the severity of COVID-19 does not play a role in menstrual cycle changes. However, the research on this topic is still too scarce to draw definitive conclusions, and there is a need for further research. The relevant conclusions, which could be drawn only from a well-constructed study, would have a major effect on defining the impact of SARS-CoV-2 infection on the menstrual cycle.

This systematic review and meta-analysis aims to evaluate the impact of chronic endometritis (CE) and its therapy on in vitro fertilization (IVF) outcome. Additionally, we aim to investigate whether various degrees of CE severity may exert a different effect on IVF outcome. Ongoing-pregnancy rate/live-birth-rate (OPR/LBR), clinical-pregnancy rate (CPR), and miscarriage rate (MR) were calculated. A total number of 4145 patients (from ten studies) were included. Women with CE had lower OPR/LBR (OR 1.97, p = 0.02) and CPR (OR 2.28, p = 0.002) compared to those without CE. CE cure increased OPR/LBR (OR 5.33, p < 0.0001) and CPR (OR 3.64, p = 0.0001). IVF outcome was comparable between women with cured CE and those without CE (OPR/LBR, CPR and MR: p = ns). Women with severe CE had lower OPR/LBR (OR 0.43, p = 0.003) and CPR (OR 0.40, p = 0.0007) compared to those mild CE. Mild CE showed no influence on the IVF outcome as compared to women without CE (OPR/LBR, CPR and MR: p = ns). Based on this data analysis, CE significantly reduces OPR/LBR and CPR in women undergoing IVF. Importantly, CE resolution after antibiotic therapy may improves IVF outcome, leading to similar OPR/LBR and CPR as compared to unaffected patients. The negative effects of CE on IVF outcome may be restricted to severe disease, whereas mild CE may have no influence on IVF success.

Akkermansia muciniphila is a mucin-degrading bacterium of the intestinal niche, exerting beneficial effects on the host metabolic profile. Accumulating evidence indicated Akkermansia as a promising therapeutic probiotic against metabolic disorders such as obesity, type 2 diabetes and cardiovascular diseases. However, in specific intestinal microenvironments, its excessive enrichment may be not beneficial. Conditions like inflammatory bowel disease (IBD), Salmonella typhimurium infection or post-antibiotic reconstitution may not benefit from Akkermansia supplementation. Furthermore, using Akkermansia in patients with endocrine and gynecological disorders—such as polycystic ovary syndrome (PCOS) or endometriosis—that have a higher risk of developing IBD, should be critically evaluated. In addition, a cautionary note comes from the neurological field, as the gut microbiota of patients suffering from Parkinson’s disease or multiple sclerosis exhibits a characteristic signature of Akkermansia municiphila abundance. Overall, considering these controversial points, the use of Akkermansia should be evaluated on an individual basis, avoiding risking unexpected effects.

Cervical cancer is the most common gynecologic malignancy and the fourth most common cancer in women worldwide. Over the last two decades, minimally invasive surgery (MIS) has emerged as the mainstay in the surgical management of early-stage cervical cancer, bringing advantages such as a lower operative morbidity and shorter hospital stay compared to open surgery, while maintaining comparable oncologic outcomes in numerous retrospective studies. Considering oncological patients, it is mandatory to assess the oncological outcomes and safety of this type of surgery. Moreover, there are different future outlooks on cervical cancer therapy, based on immunotherapy, target therapy, and poly-ADP-ribose polymerases (PARP) inhibitors in combination with each other, and in combination with standard chemotherapy and radiotherapy. The goal is to find an approach that is as personalized as possible.