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Optimal Cut-Off Values of Lymph Node Ratio Predicting Recurrence in Papillary Thyroid Cancer

Authors
 Seul Gi Lee  ;  Joon Ho  ;  Jung Bum Choi  ;  Tae Hyung Kim  ;  Min Jhi Kim  ;  Eun Jeong Ban  ;  Cho Rok Lee  ;  Sang-Wook Kang  ;  Jong Ju Jeong  ;  Kee-Hyun Nam  ;  Sang Geun Jung  ;  Young Suk Jo  ;  Jandee Lee  ;  Woong Youn Chung 
Citation
 MEDICINE, Vol.95(5) : 2692, 2016 
Journal Title
 MEDICINE 
ISSN
 0025-7974 
Issue Date
2016
MeSH
Adolescent ; Adult ; Aged ; Carcinoma/epidemiology ; Carcinoma/pathology* ; Carcinoma, Papillary ; Female ; Humans ; Lymph Nodes/pathology* ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Recurrence, Local/epidemiology* ; Predictive Value of Tests ; Republic of Korea/epidemiology ; Retrospective Studies ; Thyroid Neoplasms/epidemiology ; Thyroid Neoplasms/pathology* ; Young Adult
Abstract
Regional lymph node (LN) metastasis has a significant impact for prediction of recurrence in patients with papillary thyroid cancers (PTC); however, the prognostic value of the lymph node ratio (LNR), which is defined as the ratio of the number of metastatic LNs to the total number of investigated LNs, is controversial. In this study, we determined the optimal cut-off values of LNRs for the prediction of recurrence in PTC patients.This large cohort study retrospectively evaluated 2294 patients who had undergone total thyroidectomy for PTC at a single institution from October 1985 to June 2009. The prediction probability of central LNR (cLNR, level VI) and total LNR (tLNR, levels II-VI) were estimated by binominal logistic regression analysis. Hazard ratios of the cut-off LNR values for cancer recurrence were calculated for relevant covariates using multivariate Cox regression analyses. Kaplan-Meier analyses were also utilized to assess the effects of estimated LNR cut-off values on recurrence-free survival (RFS).Of the 2294 patients, 138 (6.0%) presented cancer recurrence during the follow-up period (median duration = 107.1 months). The prediction probability indicated that LNRs of 0.4 and 0.5 for central LN and total LN, respectively, are optimal cut-off values for precise prediction with minimization of outliers. Multivariate Cox regression analyses revealed that cLNR ≥0.4 was independently predictive of recurrence in patients with N0 and N1a PTCs (hazard ratio [HR]: 7.016, 95% confidence interval [CI]: 3.72-12.986, P < 0.001) and that tLNR ≥0.5 indicated a significantly increased risk of recurrence in patients with N1b PTCs (HR: 2.372, 95% CI: 1.458-3.860, P < 0.001). In addition, Kaplan-Meier analyses clearly demonstrated that these LNR cut-off values are precisely operational in RFS estimation.The cut-off LNR values of 0.4 and 0.5 for cLNR and tLNR, respectively, were identified. Risk stratification combined with these LNR cut-off values may prove useful to determine treatment and follow-up strategies for PTC patients.
Files in This Item:
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DOI
10.1097/MD.0000000000002692
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kang, Sang Wook(강상욱) ORCID logo https://orcid.org/0000-0001-5355-833X
Kim, Min Jhi(김민지)
Kim, Tae Hyung(김태형)
Nam, Kee Hyun(남기현) ORCID logo https://orcid.org/0000-0002-6852-1190
Ban, Eun Jeong(반은정)
Lee, Seul Gi(이슬기) ORCID logo https://orcid.org/0000-0003-3233-7823
Lee, Jan Dee(이잔디) ORCID logo https://orcid.org/0000-0003-4090-0049
Lee, Cho Rok(이초록) ORCID logo https://orcid.org/0000-0001-7848-3709
Chung, Woung Youn(정웅윤)
Jeong, Jong Ju(정종주) ORCID logo https://orcid.org/0000-0002-4155-6035
Jo, Young Suk(조영석) ORCID logo https://orcid.org/0000-0001-9926-8389
Choi, Jung Bum(최정범)
Ho, Joon(허준)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/146331
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