No abstract

Purpose. We aimed to determine the predictive value of several hematological markers of inflammation on the presence/absence of cervical cancer and also to determine their ability in discriminating precancerous cervical pathologies from cervical cancer. Materials and Methods. In this study, patients who presented to Acıbadem Kayseri Hospital between May 2010 and June 2018 were evaluated. Forty patients with low-grade squamous intraepithelial lesions (LSIL), 40 patients with high-grade squamous intraepithelial lesions (HSIL), and 30 patients with cervical cancer (CC) were retrospectively included in this study. A control group of 70 healthy volunteers with normal cervical cytology was also included in the study. Results. The neutrophil-to-lymphocyte ratio (NLR) was significantly higher in patients with CC than in controls. The platelet-to-lymphocyte ratio (PLR) was significantly higher in patients with CC compared to those with LSIL and HSIL diagnoses and also controls (p<0.001). Logistic regression analysis revealed that age (OR: 1.075, 95% CI: 1.020–1.132, p=0.007), NLR (OR: 1.643, 95% CI: 1.009–3.142, p=0.047), and PLR (OR: 1.032, 95% CI: 1.003–1.062, p=0.029) were predictors for the presence of CC. ROC curve analysis revealed that both NLR and PLR were predictive of CC with a cutoff value of 2.02 for NLR (71% sensitivity and 60% specificity, AUC: 0.682, p=0.004) and 126.7 for PLR (83% sensitivity and 69% specificity, AUC: 0.752, p<0.001). Conclusion. In addition to patients’ age, determination of NLR and PLR values, which are simple, inexpensive, and readily available markers of systemic inflammation, may help in decision making precancerous pathologies of the cervix.

Uterine artery blood flow is reduced at night in dysmenorrhea cases. In correlation with this, the cases feel more pain at night. Our results may be important on the planning of working hours and their quality of life.

To the best of our knowledge, this is first report of uterine PNET that presented with intraabdominal hemorrhage due to uterine rupture. Despite advances in therapy, the prognosis is poor. The low number of these cases precludes accurate standardization of therapy.

The aim of this prospective trial was to evaluate the ovarian reserve with anti-Müllerian hormone (AMH), which is the best predictor of ovarian reserve, and perform histological analysis after exposure to cisplatin with a GnRH agonist or antagonist. Material and methods: Twenty-four Wistar albino rats were randomly divided into three groups, each consisting of eight rats. In the GnRH agonist group (group 1), rats received a single dose of 50 mg/m 2 cisplatin with 1 mg/kg triptorelin. In the GnRH antagonist group (group 2), rats received a single dose of 50 mg/m 2 cisplatin with 1 mg/kg cetrorelix. In the control group (group 3), rats received 50 mg/m 2 cisplatin. Ovarian reserve was assessed by AMH and histology. Results: Primary follicle counts were higher in group 2 (4.50 ±1.47 vs. 3.50 ±1.70 vs. 3.00 ±3.54) and secondary follicle counts were higher in group 1 (2.96 ±1.11 vs. 1.74 ±1.03 vs. 1.37 ±3.11). Numbers of tertiary follicles were higher both in groups 1 and 2 than the control group (1.36 ±0.83 vs. 0.84 ±0.99 vs. 0.50 ±0.75). The total follicle count of the study groups were significantly higher compared with the control group (14.32 ±5.96 vs. 12.48 ±4.12 vs. 10.63 ±6.80). AMH was significantly higher in groups 1 and 2 compared with the control group (18.56 ±25.33 vs. 16.48 ±24.66 vs. 9.37 ±26.54). Conclusions: This is the first prospective randomized controlled study showing the protective effects of GnRH agonist and antagonist on ovarian reserve after cisplatin exposure in an animal model.