To realize precision medicine for cervical cancer, it is essential to predict the prognosis. We focused on changes in ADC histogram during the clinical course. Sixty-eight patients were included and they underwent MRI evaluation 4 times during the clinical course. Imaging features were extracted from the ADC histogram in the whole tumor VOI and their change rates were calculated. The change rates of kurtosis between the first and third, and between the first and second imaging could predict recurrence with high AUCs (0.90 and 0.83). By predicting the prognosis early during clinical course, a more personalized treatment can be provided.