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ORIGINAL RESEARCH article
Front. Oncol.
Sec. Gynecological Oncology
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1505512
Nomogram prediction of the Lymph-Vascular Space Invasion in Cervical Cancer : Comparison of 2009 and 2018 Staging Systems
Provisionally accepted
Suyu Li 
Yusha Chen Xizhen Huang Xiaoying Chen Xiaoyang Li Guangrun Zhou Liyuan Huang Qiuyuan Huang Lingsi Chen Zhonghang Xie 
Xiangqin Zheng *- Fujian Maternity and Child Health Hospital, Fuzhou, Fujian Province, China
Incorporating the FIGO staging system didn't significantly improved the model's performance for predicting LVSI. age, Pathology, Depth of Stromal Invasion (DSI), SCC-Ag, and Lactate Dehydrogenase (LDH) were included in the nomogram prediction model for the combined cohort. The AUC for the model-development cohort and validation cohort was 0.754 (95% CI: 0.711, 0.798) and 0.789 (95% CI: 0.727, 0.852), respectively. In both the model-development and validation cohorts, risk stratification effectively distinguished the high-risk group, which had a significantly higher proportion of positive cases compared to the low and middle-risk groups (p < 0.01).
Keywords: cervical cancer, nomogram, Lymph-vascular space invasion, FIGO stage, gynecological malignant tumor, early-stage
Received: 03 Oct 2024; Accepted: 06 Feb 2025.
Copyright: © 2025 Li, Chen, Huang, Chen, Li, Zhou, Huang, Huang, Chen, Xie and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xiangqin Zheng, Fujian Maternity and Child Health Hospital, Fuzhou, 350001, Fujian Province, China
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