Abstract

Objective. To investigate the diagnostic value of multimodal magnetic resonance imaging (MRI) in cervical cancer patients with disease stage lymph node metastasis. Method. A total of 46 patients diagnosed with cervical cancer admitted to our hospital from January 2018 to December 2020 were selected. All the patients were confirmed by postoperative pathological examination. Figo staging and lymph node metastasis were determined based on the pathological examination results. Multimodal MRI examination was used to complete conventional MRI plain scan, diffusion weighted imaging (DWI) and dynamic enhanced scanning (DCE). Multimodal MRI staging results, lymph node metastasis and pathological results were compared. To evaluate the diagnostic value of multimodal MRI in cervical cancer patients. Result. According to the results of postoperative pathological examination, stage I patients accounted for 26.1%(12/46), stage II patients accounted for 43.5%(20/46), stage III patients accounted for 17.4%(8/46), and stage IV patients accounted for 10.9%(5/46). Multimodal MRI showed stage I in 13 cases, stage II in 18 cases, stage III in 10 cases, and stage IV in 5 cases. Compared with postoperative pathological examination results, the diagnostic accuracy, sensitivity, specificity, positive predictive value and negative predictive value of multimodal MRI in patients with stage IV cervical cancer were all 100.00%, which were higher than those in patients with stage III, II and I cervical cancer (P<0.05). A total of 131 lymph nodes were examined in 46 patients after surgery, of which 63 lymph nodes had metastasis and 68 lymph nodes had no metastasis. After multimodal MRI examination, 60 lymph nodes were diagnosed with metastasis, with diagnostic accuracy of 93.1% and sensitivity of 95.00%. The diagnostic specificity was 91.56%. Conclusion. Multimodal MRI examination has a high accuracy in the diagnosis of the disease stage and lymph node metastasis of cervical cancer patients, and can clearly and comprehensively display the lesions and effectively identify the disease stage. It can be used as an important means for the diagnosis of cervical cancer and is worthy of clinical promotion.

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