Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram

Cervical cancer significantly affects women's health, while current preoperative imaging methods for predicting lymph node status are suboptimal. This study aims to evaluate the predictive value of CT attenuation (Hounsfield units) for lymph node metastasis (LNM) in cervical cancer patients and to develop a nomogram integrates clinical and imaging features to improve the accuracy of preoperative assessment. A retrospective analysis was conducted on 132 cervical cancer patients treated at the Second Affiliated Hospital of Dalian Medical University from January 2021 to August 2024. The cohort was divided into a training set (70%) and a validation set (30%) for constructing and evaluating the nomogram. CT attenuation was identified as robust predictors of LNM. Multivariate logistic regression showed that preoperative SCC levels, tumor histology, uterine corpus involvement, and lymphovascular space invasion were independent risk factors for LNM. The nomogram incorporating CT attenuation demonstrated excellent discrimination and calibration. This study presents a simple but robust nomogram that integrates clinical and imaging data to predict lymph node status in cervical cancer patients. The model exhibits high accuracy and reliability, highlighting the utility of CT imaging as a non-invasive preoperative tool for assessing LNM.

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Publication Details

Journal
Scientific Reports
Published
2025-04-05
DOI
https://doi.org/10.1038/s41598-025-94999-8
Citations
4
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
8.23
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article

Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram

Jiawei Wang, Jiayuan Zhong, Siyu Song, Ke Li et al.
4 citations
Scientific Reports
Endometrial and Cervical Cancer Treatments
8.23
article

Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram

Jiawei Wang, Jiayuan Zhong, Siyu Song, Ke Li, Shichao Han, Yajie Duan, Xiao Meng
article en
4 citations

Abstract

Cervical cancer significantly affects women's health, while current preoperative imaging methods for predicting lymph node status are suboptimal. This study aims to evaluate the predictive value of CT attenuation (Hounsfield units) for lymph node metastasis (LNM) in cervical cancer patients and to develop a nomogram integrates clinical and imaging features to improve the accuracy of preoperative assessment. A retrospective analysis was conducted on 132 cervical cancer patients treated at the Second Affiliated Hospital of Dalian Medical University from January 2021 to August 2024. The cohort was divided into a training set (70%) and a validation set (30%) for constructing and evaluating the nomogram. CT attenuation was identified as robust predictors of LNM. Multivariate logistic regression showed that preoperative SCC levels, tumor histology, uterine corpus involvement, and lymphovascular space invasion were independent risk factors for LNM. The nomogram incorporating CT attenuation demonstrated excellent discrimination and calibration. This study presents a simple but robust nomogram that integrates clinical and imaging data to predict lymph node status in cervical cancer patients. The model exhibits high accuracy and reliability, highlighting the utility of CT imaging as a non-invasive preoperative tool for assessing LNM.

Scientific ReportsVol. 15(1)
Dalian Medical University (CN), Second Affiliated Hospital of Dalian Medical University (CN)
Good health and well-being
Openalex Percentile: Top 3%
Endometrial and Cervical Cancer Treatments
8.23
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