Extranodal extension is an independent predictor of extensive nodal metastasis in T1 papillary thyroid cancer.
Extranodal extension
Lymph node
Metastasis
Papillary thyroid cancer
Journal
Langenbeck's archives of surgery
ISSN: 1435-2451
Titre abrégé: Langenbecks Arch Surg
Pays: Germany
ID NLM: 9808285
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
19
08
2021
accepted:
23
12
2021
pubmed:
12
2
2022
medline:
19
7
2022
entrez:
11
2
2022
Statut:
ppublish
Résumé
Extensive lymph node metastasis (ELM) can occur in some patients with T1 papillary thyroid cancer (PTC). However, the risk factors for ELM in patients with T1 PTC have not been fully explored. In this study, we aimed to examine the association between extranodal extension (ENE) and ELM in patients with T1 PTC. We identified 645 consecutive patients who had T1 PTC initially resected at our centre. Clinical and pathological data were reviewed. Univariate and multivariate logistic regression analyses were performed to identify the risk factors for ELM. ELM was identified in 3.9% of T1 PTC patients, and ENE was identified in 8.1% of patients. ENE was associated with male sex, large tumour size, more positive nodes, and comprehensive surgical treatment. In multivariate analysis, three variables were independently associated with ELM, including ENE (odds ratio [OR], 11.15; 95% confidence interval [CI], 4.54 to 27.30; P < 0.001), age (OR, 0.96; 95% CI, 0.93 to 0.99; P = 0.022), and tumour size (OR, 1.18; 95% CI, 1.06 to 1.31; P = 0.002). Bilateral multifocality and sex were not independently associated with ELM. ENE is a strong independent predictor of ELM in patients with T1 PTC. Patients with ENE-positive nodes might need extensive neck dissection.
Identifiants
pubmed: 35146548
doi: 10.1007/s00423-021-02425-0
pii: 10.1007/s00423-021-02425-0
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1647-1652Subventions
Organisme : Henan Health Commission
ID : 2018020490
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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