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Detailed characterization of metastatic lymph nodes improves the prediction accuracy of currently used risk stratification systems in N1 stage papillary thyroid cancer

Authors
 Jandee Lee  ;  Chan Hee Kim  ;  In Kyung Min  ;  Seonhyang Jeong  ;  Hyunji Kim  ;  Moon Jung Choi  ;  Hyeong Ju Kwon  ;  Sang Geun Jung  ;  Young Suk Jo 
Citation
 EUROPEAN JOURNAL OF ENDOCRINOLOGY, Vol.183(1) : 83-93, 2020-07 
Journal Title
 EUROPEAN JOURNAL OF ENDOCRINOLOGY 
ISSN
 0804-4643 
Issue Date
2020-07
MeSH
Adult ; Female ; Humans ; Lymph Nodes / pathology ; Lymphatic Metastasis / diagnosis* ; Lymphatic Metastasis / pathology* ; Male ; Middle Aged ; Neoplasm Recurrence, Local / diagnosis ; Retrospective Studies ; Risk Assessment ; Risk Factors ; Thyroid Cancer, Papillary / diagnosis* ; Thyroid Cancer, Papillary / pathology* ; Thyroid Neoplasms / diagnosis* ; Thyroid Neoplasms / pathology*
Abstract
Objective: The characteristics of metastatic lymph nodes (MLNs) have been investigated as important predictors of recurrence and progression in papillary thyroid cancer (PTC). However, clinically applicable risk stratification systems are limited to the assessment of size and number of MLNs. This study investigated the predictive value of detailed characteristics of MLNs in combination with currently used risk stratification systems. Design and methods: We retrospectively characterized 2811 MLNs from 9014 harvested LNs of 286 patients with N1 PTC according to the maximum diameter of MLN (MDLN), maximum diameter of metastatic focus (MDMF), ratio of both diameters (MDMFR), lymph node ratio (LNR, number of MLNs/number of total harvested LNs), presence of extranodal extension (ENE), desmoplastic reaction (DR), cystic component, and psammoma body. Results: Factors related to the size and number of MLNs were associated with increased risk of recurrence and progression. Extensive presence of ENE (>40%) and DR (≥50%) increased the risk of recurrence/progression. The combination of MDLN, LNR, ENE, and DR had the highest predictive value among MLN characteristics. Combination of these parameters with ATA risk stratification or 1-year response to therapy improved the predictive power for recurrence/progression from a Harrell's C-index of 0.781 to 0.936 and 0.867 to 0.960, respectively. Conclusions: The combination of currently used risk stratification systems with detailed characterization of MLNs may improve the predictive accuracy for recurrence/progression in N1 PTC patients.
Full Text
https://eje.bioscientifica.com/view/journals/eje/183/1/EJE-20-0131.xml
DOI
10.1530/EJE-20-0131
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Lee, Jan Dee(이잔디) ORCID logo https://orcid.org/0000-0003-4090-0049
Jo, Young Suk(조영석) ORCID logo https://orcid.org/0000-0001-9926-8389
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/179609
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