Background: The tumor histological grade is closely related to the prognosis of patients with endometrial cancer (EC). Multiparametric MRI, including diffusion-weighted imaging (DWI), provides information about the cellular density that may be useful to differentiate between benign and malignant uterine lesions. However, correlations between apparent diffusion coefficient (ADC) values and histopathological grading in endometrial cancer remain controversial. Material and methods: We retrospectively evaluated 92 patients with endometrial cancers, including both endometrioid adenocarcinomas (64) and non-endometrioid adenocarcinomas (28). All patients underwent DWI procedures, and mean ADC values were calculated in a region of interest. These values were then correlated with the tumor grading offered by the histopathological examination, which was considered the gold standard. In this way, the patients were divided into three groups (G1, G2, and G3). The ADC values were then compared to the results offered by the biopsy to see if the DWI sequence and ADC map could replace this procedure. We also compared the mean ADC values to the myometrial invasion (50%) and lymphovascular space invasion. Results: We have divided the ADC values into three categories corresponding to three grades: >0.850 × 10⁻³ mm²/s (ADC1), 0.730–0.849 × 10⁻³ mm²/s (ADC2) and <0.730 × 10⁻³ mm²/s (ADC3). The diagnostic accuracy of the ADC value was 85.71% for ADC1, 75.76% for ADC2, and 91.66% for ADC3. In 77 cases out of 92, the category in which they were placed using the ADC value corresponded to the result offered by the histopathological exam with an accuracy of 83.69%. For only 56.52% of patients, the biopsy result included the grading system. For each grading category, the mean ADC value showed better results than the biopsy; for G1 patients, the mean ADC value had an accuracy of 85.71% compared to 66.66% in the biopsy, G2 had 75.76% compared to 68.42%, and G3 had 91.66 compared to 75%. For both deep myometrial invasion and lymphovascular space invasion, there is a close, inversely proportional correlation with the mean ADC value. Conclusions: Mean endometrial tumor ADC on MR-DWI is inversely related to the histological grade, deep myometrial invasion and lymphovascular space invasion. Using this method, the patients could be better divided into risk categories for personalized treatment.

Background: Urolithiasis is a common condition characterized by a high risk of recurrence, although this risk varies substantially between patients. The present study aimed to quantify incidence, identify determinants, and model recurrence risk between stone composition and recurrence, and to assess the role of selected clinical and behavioral factors in a cohort of patients with confirmed stone clearance. Methods: This retrospective cohort study included adult patients with urolithiasis managed between 2017 and 2021 in a specialized referral center. Only patients with confirmed stone-free status and available follow-up were included. Stone composition was determined using morpho-spectroscopic analysis. Clinical and behavioral variables were collected from medical records. Recurrence was defined as a new stone event during follow-up. Time-to-event analysis was performed using Kaplan–Meier estimates and Cox proportional hazards models. Results: A total of 962 patients were included, with a median follow-up of over three years. During this period, recurrence occurred in approximately one-third of patients. Uric acid stones were associated with a higher risk of recurrence compared with calcium oxalate monohydrate stones, while the effect size was moderate. Previous stone history and low fluid intake were also independently associated with recurrence. Other dietary variables did not retain statistical significance after adjustment. Conclusions: Recurrence in urolithiasis appears to reflect the combined effect of compositional, clinical, and behavioral factors. While certain variables are associated with increased risk, no single determinant fully explains recurrence patterns. These findings support a more individualized approach to risk assessment and follow-up.