FENG Qian, LIU Jia, LI Xiaoxu.
Objective To construct a risk prediction model for the recurrence of ovarian immature. Methods A total of 120 patients with ovarian teratoma admitted to the Fourth Hospital of Shijiazhuang City from January 2023 to May 2024 were selected as the research subjects. They were divided into a 21 recurrence group and a 99 non-recurrence group based on whether the patients had recurrence after surgery. The clinical data of the two groups were compared, and univariate/multivariate Logistic analysis was used to analyze the influencing factors of recurrence in patients with ovarian teratoma. The ROC curve was used to analyze the clinical efficacy of the above influencing factors in predicting the recurrence of patients with ovarian teratoma. Results Comparisons of age, disease duration, body mass index, number of pregnancies, number of deliveries, average maximum tumor diameter, comorbidities, clinical symptoms, location and blood flow signals between the two groups (P>0.05); Comparison of tumor types, CA125, CA199 and ultrasound indicators between the two groups (P<0.05). The independent variables were set as indicators with differences in general data, including immature teratoma, tumor stage, tumor grade, CA125, CA199, peak systolic flow velocity, mean flow velocity, and pulsatility index. The dependent variable was recurrence in patients with ovarian teratoma. Univariate logistic regression analysis was conducted, and the results showed that The influencing factors of recurrence in patients with ovarian teratoma are immature teratoma, tumor stage, tumor grade, CA125, CA199, peak systolic velocity, mean velocity, and pulsatility index. Factors with statistical significance in univariate analysis were included in multivariate analysis, including immature teratoma, tumor stage, tumor grade, CA125, CA199, peak systolic flow velocity, mean flow velocity, and pulsatility index. The dependent variable was recurrence in patients with ovarian teratoma. Multivariate logistic regression analysis was conducted, and the results showed that The influencing factors of recurrence in patients with ovarian teratoma are immature teratoma, tumor stage, tumor grade, CA125, and CA199. The AUC, sensitivity and specificity of the combined diagnosis were all higher than those of immature teratoma, tumor stage, tumor grade, CA125 and CA199 (P<0.05). Conclusion Immature teratoma, tumor stage, tumor grade, CA125, and CA199 are the influencing factors for the recurrence of patients with ovarian teratoma, and the combined diagnosis of the recurrence of patients with ovarian teratoma has a higher efficacy.