Predictors of Para-aortic Lymph Node Metastasis of Cervical Cancer

Individual data of 336 patients with locally advanced cervical cancer treated with surgical staging at our institution from January 2020 to August 2022 were pooled analysed. The following factors were collected from each patient to identify variables predicting para-aortic lymph node metastasis: age, T-staging，histopathological type，tumor size, differentiation, pretreatment tumor markers (squamous carcinoma antigen, carcinoembryonic antigen, Carbohydrate antigen 125 and cytokeratin fragment 21-1 , human papilloma virus type, the status of pelvic lymph node on images, common iliac lymph node and the short-axis diameter of the largest positive and the status of para-aortic lymph node on surgical staging results. Multivariate Logistic regression analysis was used to develop the prediction model. A simplified scoring system for each independent predictive factors was developed according to its coefficient. Internal validation was performed to assess the model. An independent validation cohort contained 116 patients with the same criteria from March 2018 to December 2019.

Inclusion criteria

• In 2018, the International Federation of Obstetrics and Gynecology (FIGO) stage was Ib3 IIA2-IVA;
• It was treated initially without surgical and chemotherapy.
• Squamous cell carcinoma, adenocarcinoma and adeno-squamous cell carcinoma were confirmed by histopathology.
• Abdominal pelvic CT, MRI or PET/CT were performed before treatment.
• Patients with successful surgical staging and the pathological data of para-aortic lymph node were obtained.

Exclusion criteria

• Patients were excluded if the histopathological type was not squamous cell carcinoma or Adenocarcinoma, and the data of LN status was not available.