4.5 Article

Prediction model of lymph node metastasis posterior to the right recurrent laryngeal nerve

Journal

EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY
Volume 280, Issue 7, Pages 3429-3435

Publisher

SPRINGER
DOI: 10.1007/s00405-023-07946-6

Keywords

Lymph nodes posterior to the right recurrent laryngeal nerve; Papillary thyroid carcinoma; Predictive model; Risk factor; Lymph node metastasis

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This study aimed to establish a predictive model for determining the probability of metastasis in lymph nodes posterior to the right recurrent laryngeal nerve in papillary thyroid carcinoma patients. The study identified several risk factors, including irregular tumor margins, extrathyroidal extension, large tumor size, overweight status, high total cholesterol level, and multifocality. The predictive model showed good accuracy in predicting the probability of metastasis.
BackgroundAt present, it is still controversial whether lymph nodes posterior to the right recurrent laryngeal nerve (LN-prRLN) in papillary thyroid carcinoma (PTC) patients should be dissected. Failure to dissect metastatic lymph nodes results in continued metastasis from the positive lymph nodes to other regions. Our study aimed to establish a predictive model and predict the probability of metastasis of the lymph nodes posterior to the right recurrent laryngeal nerve (LNM-prRLN) in patients.MethodsA total of 309 patients underwent surgery for thyroid cancer between May 2019 and September 2022. The risk factors were identified by univariate and multivariate analyses, and statistically significant risk factors identified in the multivariate analysis were included in the nomogram. We used the calibration curve and the receiver operating characteristic (ROC) curve to verify the accuracy of the prediction model.ResultsMultivariate analysis showed that irregular tumor margins (OR: 3.549, 95% CI 1.294-9.733, P = 0.014), extrathyroidal extension (OR: 4.507, 95% CI 1.694-11.993, P = 0.003), maximum tumor diameter > 1 cm (OR: 5.729, 95% CI 2.617-12.542, P < 0.001), overweight status (OR: 2.296, 95% CI 1.057-4.987, P = 0.036), high total cholesterol level (OR: 5.238, 95% CI 2.304-11.909, P < 0.001), and multifocality (OR: 11.954, 95% CI 5.233-27.305, P < 0.001) were independent risk factors for LNM-prRLN. The area under the ROC curve was 0.927. The calibration curve showed good agreement between the predicted and observed rates of LNM-prRLN.ConclusionThe probability of LNM-prRLN could be predicted by a nomogram based on the statistically significant risk factors identified in the multivariate analysis. This nomogram can guide clinicians when preoperatively evaluating the status of the LN-prRLN with regard to LNM-prRLN in PTC patients. For patients at high risk for LNM-prRLN, the preventive dissection of LN-prRLNs can be considered.

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