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A nomogram to predict vascular invasion before resection of colorectal cancer

  • Authors:
    • Weishun Xie
    • Jungang Liu
    • Xiaoliang Huang
    • Guo Wu
    • Franco Jeen
    • Shaomei Chen
    • Chuqiao Zhang
    • Wenkang Yang
    • Chan Li
    • Zhengtian Li
    • Lianying Ge
    • Weizhong Tang

  • View Affiliations

  • Published online on: September 30, 2019     https://doi.org/10.3892/ol.2019.10937
  • Pages: 5785-5792

  • Copyright: © Xie et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Vascular invasion (VI) is an important feature for systemic recurrence and an indicator for the application of adjuvant therapy in colorectal cancer (CRC). Preoperative knowledge of VI is important in determining whether adjuvant therapy is necessary, as well as the adequacy of surgical resection. In the present study, a predictive nomogram for VI in patients with CRC was constructed. The prediction model consisted of 664 eligible patients with CRC, who were divided into a training set (n=468) and a validation set (n=196). Data were collected between August 2013 and April 2018. The feature selection model was established using the least absolute shrinkage and selection operator regression model. Multivariable logistic regression analysis was used to construct the predictive nomogram. The performance of the nomogram was evaluated by calibration, discrimination and clinical usefulness. Differentiation, computed tomography (CT)‑based on N stage (CT N stage), hemameba and tumor distance from the anus (cm) were integrated into the nomogram. The nomogram exhibited good discrimination, with an area under the curve (AUC) of 0.731 and good calibration. Application of the nomogram in the validation cohort showed acceptable discrimination, with an AUC of 0.710 and good calibration. Decision curve analysis revealed that the nomogram was clinically useful. These findings suggests, to the best of our knowledge, that this may be the first nomogram for individual preoperative prediction of VI in patients with CRC, which may promote preoperative optimization strategies for this selected group of patients.
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December-2019
Volume 18 Issue 6

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Spandidos Publications style
Xie W, Liu J, Huang X, Wu G, Jeen F, Chen S, Zhang C, Yang W, Li C, Li Z, Li Z, et al: A nomogram to predict vascular invasion before resection of colorectal cancer. Oncol Lett 18: 5785-5792, 2019.
APA
Xie, W., Liu, J., Huang, X., Wu, G., Jeen, F., Chen, S. ... Tang, W. (2019). A nomogram to predict vascular invasion before resection of colorectal cancer. Oncology Letters, 18, 5785-5792. https://doi.org/10.3892/ol.2019.10937
MLA
Xie, W., Liu, J., Huang, X., Wu, G., Jeen, F., Chen, S., Zhang, C., Yang, W., Li, C., Li, Z., Ge, L., Tang, W."A nomogram to predict vascular invasion before resection of colorectal cancer". Oncology Letters 18.6 (2019): 5785-5792.
Chicago
Xie, W., Liu, J., Huang, X., Wu, G., Jeen, F., Chen, S., Zhang, C., Yang, W., Li, C., Li, Z., Ge, L., Tang, W."A nomogram to predict vascular invasion before resection of colorectal cancer". Oncology Letters 18, no. 6 (2019): 5785-5792. https://doi.org/10.3892/ol.2019.10937