Role of magnetic resonance imaging in predictinglong-term outcomes of cervical cancer treatment
Objective. To study the value of a mathematical model of lymph node (LN) metastasis according to magnetic resonance imaging (MRI) data in cervical cancer (CC) in a comparative aspect with the traditional MRI criterion of LN metastasis (the size on the short axis being ≥ 1.0 cm) for assessing the prognosis of the disease. Materials and methods. To assess the CC prognosis, the indices of one-year, five-year cancer-specific survival (CSS) rates of 100 patients were analyzed in a comparative aspect: if metastatic lymph nodes (MLNs) are detected according to MRI data based on the use of the mathematical model for the MLN diagnosis and the traditional MRI criterion. Results. The comparison of five-year CSS indices for groups of patients with a favorable prognosis (N0) using the traditional criterion and the mathematical model has revealed a statistically significant difference (р < 0.001). Conclusion. The developed mathematical model of LN metastasis according to MRI data makes it possible to predict the unfavorable development of CC, as well as serves as a guide for individual therapy.