Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram
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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-94999-8 |
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| author | Xiao Meng Siyu Song Ke Li Yajie Duan Jiayuan Zhong Jiawei Wang Shichao Han |
| author_facet | Xiao Meng Siyu Song Ke Li Yajie Duan Jiayuan Zhong Jiawei Wang Shichao Han |
| author_sort | Xiao Meng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b2b6172bf224454283bf8dde13ba628e |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-b2b6172bf224454283bf8dde13ba628e2025-08-20T03:04:49ZengNature PortfolioScientific Reports2045-23222025-04-0115111110.1038/s41598-025-94999-8Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogramXiao Meng0Siyu Song1Ke Li2Yajie Duan3Jiayuan Zhong4Jiawei Wang5Shichao Han6Department of Gynecology, The Second Hospital of Dalian Medical UniversityDepartment of Gynecology, The Second Hospital of Dalian Medical UniversityDepartment of Gynecology, The Second Hospital of Dalian Medical UniversityDepartment of Gynecology, The Second Hospital of Dalian Medical UniversityDepartment of Gynecology, The Second Hospital of Dalian Medical UniversityDepartment of Gynecology, The Second Hospital of Dalian Medical UniversityDepartment of Gynecology, The Second Hospital of Dalian Medical UniversityAbstract 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.https://doi.org/10.1038/s41598-025-94999-8Cervical cancerCTNomogramLNMImagingPredictive model |
| spellingShingle | Xiao Meng Siyu Song Ke Li Yajie Duan Jiayuan Zhong Jiawei Wang Shichao Han Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram Scientific Reports Cervical cancer CT Nomogram LNM Imaging Predictive model |
| title | Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram |
| title_full | Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram |
| title_fullStr | Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram |
| title_full_unstemmed | Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram |
| title_short | Application of CT in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram |
| title_sort | application of ct in predicting lymph node metastasis in cervical cancer and construction of a preoperative nomogram |
| topic | Cervical cancer CT Nomogram LNM Imaging Predictive model |
| url | https://doi.org/10.1038/s41598-025-94999-8 |
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