| Literature DB >> 30122994 |
Yi Luo1, Xiao-Cheng Xu2, Jie Shen3, Jing-Jing Shi4, Si Lu5, Wei He6, Jian-Yong Lei7, Ding-Cun Luo4.
Abstract
BACKGROUND: Cervical lymph node metastasis (LNM) is a prognostic factor of papillary thyroid carcinoma (PTC). The way to deal with lymph node posterior to the right recurrent laryngeal nerve (LN-prRLN) is controversial. Nevertheless, if metastatic lymph nodes are not removed during the first operation, the subsequent salvage surgery of recurrent tumor in this area would entail high risk and complication. The purpose of this study was to develop a preoperative prediction model for LN-prRLN metastasis in PTC patients using clinicopathological characteristics. PATIENTS AND METHODS: We performed a prospective study of 595 patients with PTC who underwent LN-prRLN dissection from March 2014 to June 2017. The clinicopathological data were randomly divided into derivation (n=476) and validation sets (n=119). A predictive model was initially established based upon the data of the derivation set via multivariate analyses, and the accuracy of the model was then examined with data of the validation set. The discriminative power of this model was assessed in both sets.Entities:
Keywords: lymph node posterior to right recurrent laryngeal nerve; metastasis; model; neck dissection; papillary thyroid carcinoma; risk factors
Year: 2018 PMID: 30122994 PMCID: PMC6084087 DOI: 10.2147/CMAR.S167997
Source DB: PubMed Journal: Cancer Manag Res ISSN: 1179-1322 Impact factor: 3.989
Baseline characteristics of all patients
| Risk factors | LN-prRLN metastasis
| Metastasis rate | ||
|---|---|---|---|---|
| Yes (n=102) | No (n=493) | |||
| 0.011 | ||||
| Male | 31 | 94 | 24.80% | |
| Female | 71 | 399 | 15.11% | |
| 39.5 (30.00–55.25) | 46.5 (37.00–54.00) | 0.005 | ||
| 1.20 (0.70–2.00) | 0.60 (0.40–0.90) | <0.001 | ||
| 0.027 | ||||
| 1 | 81 | 424 | 16.04% | – |
| 2 | 13 | 53 | 19.70% | 0.452 |
| 3 | 2 | 11 | 15.38% | 0.949 |
| ≥4 | 6 | 5 | 54.55% | 0.003 |
| <0.001 | ||||
| Positive | 46 | 93 | 33.09% | |
| Negative | 56 | 400 | 12.28% | |
| <0.001 | ||||
| Positive | 50 | 45 | 52.63% | |
| Negative | 52 | 448 | 10.40% | |
Note: ‘’–’’ Not applicable.
Abbreviation: LN-prRLN, lymph node posterior to the right recurrent laryngeal nerve.
Risk factors of LN-prRLN metastasis in the derivation and validation data sets
| Risk factors | Derivation data | Validation data | Total | |
|---|---|---|---|---|
| Female sex, n (%) | 373 (78.4) | 97 (81.5) | 470 (79) | 0.450 |
| Age, median (interquartile range) | 45.5 (35–53) | 47 (36–55) | 46 (36–54) | 0.880 |
| Tumor size, median (interquartile range), cm | 0.65 (0.5–1.1) | 0.7 (0.5–1.0) | 0.7 (0.5–1.0) | 0.226 |
| Multifocality, n (%) | 76 (16.0) | 12 (10.1) | 88 (14.8) | 0.106 |
| Capsular invasion, n (%) | 110 (23.1) | 29 (24.4) | 139 (23.4) | 0.771 |
| Right lateral lymph node metastasis, n (%) | 73 (15.3) | 22 (18.5) | 95 (16) | 0.401 |
| LN-prRLN metastasis, n (%) | 82 (17.2) | 20 (16.8) | 102 (17.1) | 0.913 |
Abbreviation: LN-prRLN, lymph node posterior to the right recurrent laryngeal nerve.
Univariate and multivariate analysis of LN-prRLN metastasis in the derivation set
| Risk factors | Univariate analysis
| Multivariate analysis
| ||
|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | |||
| Male sex | 2.054 (1.216–3.469) | 0.007 | 1.673 (0.916–3.058) | 0.094 |
| Age | 0.965 (0.945–0.985) | 0.001 | 0.971 (0.949–0.994) | 0.013 |
| Tumor size | 3.387 (2.328–4.926) | <0.001 | 2.163 (1.431–3.270) | <0.001 |
| Multifocality | 1.485 (0.814–2.710) | 0.197 | ||
| Capsular invasion | 3.616 (2.185–5.983) | <0.001 | 1.934 (1.062–3.522) | 0.031 |
| Right lateral lymph node metastasis | 7.551 (4.348–13.115) | <0.001 | 3.786 (2.012–7.123) | <0.001 |
Notes: Multifocality was not included in the multivariate analysis as the p value didn’t match the inclusion criteria of p<0.05.
Abbreviations: LN-prRLN, lymph node posterior to the right recurrent laryngeal nerve; OR, odds ratio.
Figure 1ROC curves were used to evaluate the discrimination performance.
Notes: In the derivation set (A), the sensitivity and specificity were 71.95% and 78.68%, respectively, with an AUC of 0.790. In the validation set (B), the sensitivity and specificity were 85.00% and 78.79%, respectively, with an AUC of 0.878.
Abbreviations: AUC, area under the curve; ROC, receiver operating characteristic.