Nomogram Predicting Lymph Node Metastasis in the Early-Stage Cervical Cancer

BackgroundAccurately predicting the risk level of lymph node metastasis is essential for the treatment of patients with early cervical cancer. The purpose of this study is to construct a new nomogram based on 2-deoxy-2-fluorodeoxyglucose positron emission tomography/computed tomography (F-18-FDG PET/CT) and clinical characteristics to assess early-stage cervical cancer patients' risk of lymph node metastasis. Materials and MethodsFrom January 2019 to November 2020, the records of 234 patients with stage IA-IIA [International Federation of Gynecology and Obstetrics (FIGO) 2018] cervical cancer who had undergone PET/CT examination within 30 days before surgery were retrospectively reviewed. A nomogram to predict the risk of lymph node metastasis was constructed based on it. The nomogram was developed and validated by internal and external validation. The validation cohorts included 191 cervical cancer patients from December 2020 to October 2021. ResultsFour factors [squamous cell carcinoma associated antigen (SCCA), maximum standardized uptake value of lymph node (nSUVmax), uterine corpus invasion in PET/CT and tumor size in PET/CT] were finally determined as the predictors of the nomogram. At the area under the receiver operating characteristic curve cohort was 0.926 in the primary and was 0.897 in the validation cohort. The calibration curve shows good agreement between the predicted probability and the actual probability. The decision curve analysis showed the clinical utility of the nomogram. ConclusionWe had established and verified a simple and effective nomogram, which can be used to predict the lymph node metastasis of cervical cancer patients before surgery.

Automated summary

The study aimed to construct a new nomogram based on F-18-FDG PET/CT and clinical characteristics to assess the risk of lymph node metastasis in early-stage cervical cancer patients. The nomogram was validated and showed good accuracy and clinical utility in predicting lymph node metastasis.