Diagnostic value of dynamic enhanced multi-slice spiral CT in lymph node metastasis of cervical cancer and analysis of the causes of missed diagnosis

We aimed to explore the diagnostic value of multi-slice spiral computed tomography dynamic enhanced scanning (MSCT) for the lymph node metastasis of cervical cancer and the causes for missed diagnosis. A total of 283 patients with cervical cancer treated from March 2019 to March 2022 were selected. Lymph node metastasis was observed by MSCT. The results were compared with those of surgical and pathological examinations to analyze the diagnostic value of MSCT. The patients with confirmed lymph node metastasis were divided into a missed diagnosis group (n = 41) and a non-missed diagnosis group (n = 128). The factors for missed diagnosis by MSCT were explored by multivariate logistic regression analysis. A back propagation (BP) neural network model was constructed and evaluated. Results: The positive coincidence rate of MSCT diagnosis was 92.75%, the negative coincidence rate was 71.72%, and the total coincidence rate was 81.98%. The area under the receiver operator characteristic curve of MSCT was 0.741 (95% confidence interval: 0.723–0.826), indicating a high diagnostic value. A high degree of differentiation, negative Ki-67 expression, and interstitial infiltration depth of <one half were independent risk factors for the missed diagnosis of lymph node metastasis by MSCT (p < 0.05), and tumor size was an independent protective factor (p < 0.05). The BP neural network model has good discrimination and high accuracy. MSCT has a high diagnostic value for the lymph node metastasis of cervical cancer.

Multi-slice spiral CT; Cervical carcinoma; Lymph node metastasis; Missed diagnosis; Back propagation neural network model

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