Preoperative nomogram for the identification of lymph node metastasis in early cervical cancer
| dc.contributor.author | Kim, D-Y | |
| dc.contributor.author | Shim, S-H | |
| dc.contributor.author | Kim, S-O | |
| dc.contributor.author | Lee, S-W | |
| dc.contributor.author | Park, J-Y | |
| dc.contributor.author | Suh, D-S | |
| dc.contributor.author | Kim, J-H | |
| dc.contributor.author | Kim, Y-M | |
| dc.contributor.author | Kim, Y-T | |
| dc.contributor.author | Nam, J-H | |
| dc.date.accessioned | 2023-01-10T17:57:28Z | |
| dc.date.available | 2023-01-10T17:57:28Z | |
| dc.date.issued | 2013-11-14 | |
| dc.description.abstract | Background: The objective of this study is to construct a preoperative nomogram predicting lymph node metastasis (LNM) in early-cervical cancer patients. Methods: Between 2009 and 2012, 493 early-cervical cancer patients received hysterectomy and pelvic/para-aortic lymphadenectomy. Patients who were diagnosed during 2009–2010 were assigned to a model-development cohort (n=304) and the others were assigned to a validation cohort (n=189). A multivariate logistic model was created from preoperative clinicopathologic data, from which a nomogram was developed and validated. A predicted probability of LNM<5% was defined as low risk. Results: Age, tumour size assessed by magnetic resonance imaging, and LNM assessed by positron emission tomography/computed tomography were independent predictors of nodal metastasis. The nomogram incorporating these three predictors demonstrated good discrimination and calibration (concordance index=0.878; 95% confidence interval (CI), 0.833−0.917). In the validation cohort, the discrimination accuracy was 0.825 (95% CI, 0.736−0.895). In the model-development cohort, 34% of them were classified as low risk and negative predictive value (NPV) was 99.0%. In the validation cohort, 38% were identified as low risk and NPV was 95.8%. Integrating the model-development and validation cohorts, negative likelihood ratio was 0.094 (95% CI, 0.036−0.248). Conclusion: A robust nomogram predicting LNM in early cervical cancer was developed. This model may improve clinical trial design and help physicians to decide whether lymphadenectomy should be performed. | en_US |
| dc.identifier.citation | Kim, D. Y., Shim, S. H., Kim, S. O., Lee, S. W., Park, J. Y., Suh, D. S., Kim, J. H., Kim, Y. M., Kim, Y. T., & Nam, J. H. (2014). Preoperative nomogram for the identification of lymph node metastasis in early cervical cancer. British journal of cancer, 110(1), 34–41. https://doi.org/10.1038/bjc.2013.718 | en_US |
| dc.identifier.other | DOI: 10.1038/bjc.2013.718 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14041/5373 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | British Journal of Cancer | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | Cervical Cancer | en_US |
| dc.subject | Lymphatic Metastasis | en_US |
| dc.subject | Lymph Node Excision | en_US |
| dc.subject | Nomogram | en_US |
| dc.subject | Likelihood Functions | en_US |
| dc.title | Preoperative nomogram for the identification of lymph node metastasis in early cervical cancer | en_US |
| dc.type | Article | en_US |
