ArticleFrontiers in medicine2022
Nomogram Predicting Lymph Node Metastasis in the Early-Stage Cervical Cancer.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Robotic Versus Open Radical Hysterectomy in Early-Stage Cervical Cancer: A Comparative Cohort Study.Journal of clinical medicine · 2026Article
- Article
- The construction of a predictive model for postoperative bladder paralysis in patients with cervical cancer based on logistic regression and nomogram.Frontiers in oncology · 2026Article
- Comparative study of five-year cervical cancer cause-specific survival prediction models based on SEER data.Scientific reports · 2025Article
- Development and validation of a predictive model for the risk of endocervical curettage positivity.Frontiers in oncology · 2025Article
- Development and validation of a risk prediction model for lymph node metastasis in stage IA2-IIA1 cervical cancer based on laboratory parameters.American journal of cancer research · 2025Article
- Prediction of lymph node metastasis in cervical cancer patients using AdaBoost machine learning model: analysis of risk factors.American journal of cancer research · 2025Article
- A Clinical Prediction Model for Pathologic Upgrade to Invasive Carcinoma Following Conization of Cervical High-Grade Squamous Intraepithelial Lesions.Cancer medicine · 2025Article
- Investigating the prognostic significance of examined lymph node count in elderly women with cervical carcinoma: a SEER population-based study.Frontiers in medicine · 2025Article
- Validation of the 2018 FIGO staging system for stage IIIC cervical cancer by determining the metabolic and radiomic heterogeneity of primary tumors based onAbdominal radiology (New York) · 2024Article
- Predictive value and potential association of PET/CT radiomics on lymph node metastasis of cervical cancer.Annals of medicine and surgery (2012) · 2024Article
- Identifying the risk factors and developing a predictive model for postoperative pelvic floor dysfunction in cervical cancer patients.Translational cancer research · 2023Article
- A preoperative prediction of lymph node metastasis in early cervical squamous cell cancer with hematologica - based model.Journal of Cancer · 2023Article
- Kimura disease, a rare cause of inguinal lymphadenopathy: A case report.Frontiers in medicine · 2022Article
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4 authors.
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Abstract
Background: Accurately 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 ( Materials and Methods: From 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. Results: Four 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. Conclusion: We 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.
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