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. 2019 Oct;51(4):1275-1284.
doi: 10.4143/crt.2018.569. Epub 2019 Jan 17.

Nomogram Development and External Validation for Predicting the Risk of Lymph Node Metastasis in T1 Colorectal Cancer

Jung Ryul Oh  1 , Boram Park  2 , Seongdae Lee  3 , Kyung Su Han  1 , Eui-Gon Youk  3 , Doo-Han Lee  3 , Do-Sun Kim  3 , Doo-Seok Lee  3 , Chang Won Hong  1 , Byung Chang Kim  1 , Bun Kim  1 , Min Jung Kim  1 , Sung Chan Park  1 , Dae Kyung Sohn  1 , Hee Jin Chang  1 , Jae Hwan Oh  1
Affiliations

Nomogram Development and External Validation for Predicting the Risk of Lymph Node Metastasis in T1 Colorectal Cancer

Jung Ryul Oh et al. Cancer Res Treat. 2019 Oct.

Abstract

Purpose: Predicting lymph node metastasis (LNM) risk is crucial in determining further treatment strategies following endoscopic resection of T1 colorectal cancer (CRC). This study aimed to establish a new prediction model for the risk of LNM in T1 CRC patients.

Materials and methods: The development set included 833 patients with T1 CRC who had undergone endoscopic (n=154) or surgical (n=679) resection at the National Cancer Center. The validation set included 722 T1 CRC patients who had undergone endoscopic (n=249) or surgical (n=473) resection at Daehang Hospital. A logistic regression model was used to construct the prediction model. To assess the performance of prediction model, discrimination was evaluated using the receiver operating characteristic (ROC) curves with area under the ROC curve (AUC), and calibration was assessed using the Hosmer-Lemeshow (HL) goodness-of-fit test.

Results: Five independent risk factors were determined in the multivariable model, including vascular invasion, high-grade histology, submucosal invasion, budding, and background adenoma. In final prediction model, the performance of the model was good that the AUC was 0.812 (95% confidence interval [CI], 0.770 to 0.855) and the HL chi-squared test statistic was 1.266 (p=0.737). In external validation, the performance was still good that the AUC was 0.771 (95% CI, 0.708 to 0.834) and the p-value of the HL chi-squared test was 0.040. We constructed the nomogram with the final prediction model.

Conclusion: We presented an externally validated new prediction model for LNM risk in T1 CRC patients, guiding decision making in determining whether additional surgery is required after endoscopic resection of T1 CRC.

Keywords: Colorectal neoplasms; Lymph nodes; Neoplasm metastasis; Nomograms.

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Conflict of interest statement

Conflict of interest relevant to this article was not reported.

Figures

Fig. 1.
Fig. 1.
Consort diagram of development set. CRC, colorectal cancer; LNM, lymph node metastasis.
Fig. 2.
Fig. 2.
Consort diagram of validation set. CRC, colorectal cancer; LNM, lymph node metastasis.
Fig. 3.
Fig. 3.
Receiver-operator characteristic curve (A) and calibration plots (B) of the prediction model in the development and validation sets. AUC, area under the receiver operating characteristics curve; CI, confidence interval; LNM, lymph node metastasis.
Fig. 4.
Fig. 4.
Nomogram.
See this image and copyright information in PMC

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