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Predictive factors of lymph node metastasis in papillary thyroid cancer
This study aimed to evaluate factors that predict lymph node metastasis (LNM) in papillary thyroid cancer (PTC). This retrospective cross-sectional study compared the demographic, clinical, and ultrasonographic findings of patients with PTC with and without LNM. Subgroup analysis was conducted for m...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681174/ https://www.ncbi.nlm.nih.gov/pubmed/38011178 http://dx.doi.org/10.1371/journal.pone.0294594 |
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author | Song, Woo Jin Um, In Chan Kwon, Sa Rang Lee, Jin Ho Lim, Hye Won Jeong, Yong Uk Chung, Seung Min Moon, Jun Sung Yoon, Ji Sung Won, Kyu Chang Lee, Hyoung Woo |
author_facet | Song, Woo Jin Um, In Chan Kwon, Sa Rang Lee, Jin Ho Lim, Hye Won Jeong, Yong Uk Chung, Seung Min Moon, Jun Sung Yoon, Ji Sung Won, Kyu Chang Lee, Hyoung Woo |
author_sort | Song, Woo Jin |
collection | PubMed |
description | This study aimed to evaluate factors that predict lymph node metastasis (LNM) in papillary thyroid cancer (PTC). This retrospective cross-sectional study compared the demographic, clinical, and ultrasonographic findings of patients with PTC with and without LNM. Subgroup analysis was conducted for micro-PTCs (<1 cm). Among total (n = 512; mean age, 47.3 ± 12.7 years) and micro-PTC patients (n = 312), 35.7% and 19.6% had LNM, respectively. Younger age, male sex, tumor size, bilaterality, and suspicious ultrasound features of the tumor were associated with LNM. In multiple logistic regression analysis, among all patients, age, tumor size, and extrathyroidal extension were independent risk factors for LNM (all p<0.05). In the micro-PTC subgroup, age, extrathyroidal extension, bilaterality of tumor, and presence of autoimmune thyroid disease were independent risk and protective factors for LNM (all p<0.05). In the receiver operating characteristic analysis, the accuracy of the multivariable logistic regression model for predicting LNM among all patients and micro-PTC was acceptable (area under the curve = 0.729 and 0.733, respectively). Age, sex, tumor size, and extrathyroidal extension can assist in predicting LNM in PTC patients. Additionally, the bilaterality of tumors and presence of autoimmune thyroid disease can assist in predicting LNM in micro-PTCs. |
format | Online Article Text |
id | pubmed-10681174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106811742023-11-27 Predictive factors of lymph node metastasis in papillary thyroid cancer Song, Woo Jin Um, In Chan Kwon, Sa Rang Lee, Jin Ho Lim, Hye Won Jeong, Yong Uk Chung, Seung Min Moon, Jun Sung Yoon, Ji Sung Won, Kyu Chang Lee, Hyoung Woo PLoS One Research Article This study aimed to evaluate factors that predict lymph node metastasis (LNM) in papillary thyroid cancer (PTC). This retrospective cross-sectional study compared the demographic, clinical, and ultrasonographic findings of patients with PTC with and without LNM. Subgroup analysis was conducted for micro-PTCs (<1 cm). Among total (n = 512; mean age, 47.3 ± 12.7 years) and micro-PTC patients (n = 312), 35.7% and 19.6% had LNM, respectively. Younger age, male sex, tumor size, bilaterality, and suspicious ultrasound features of the tumor were associated with LNM. In multiple logistic regression analysis, among all patients, age, tumor size, and extrathyroidal extension were independent risk factors for LNM (all p<0.05). In the micro-PTC subgroup, age, extrathyroidal extension, bilaterality of tumor, and presence of autoimmune thyroid disease were independent risk and protective factors for LNM (all p<0.05). In the receiver operating characteristic analysis, the accuracy of the multivariable logistic regression model for predicting LNM among all patients and micro-PTC was acceptable (area under the curve = 0.729 and 0.733, respectively). Age, sex, tumor size, and extrathyroidal extension can assist in predicting LNM in PTC patients. Additionally, the bilaterality of tumors and presence of autoimmune thyroid disease can assist in predicting LNM in micro-PTCs. Public Library of Science 2023-11-27 /pmc/articles/PMC10681174/ /pubmed/38011178 http://dx.doi.org/10.1371/journal.pone.0294594 Text en © 2023 Song et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Song, Woo Jin Um, In Chan Kwon, Sa Rang Lee, Jin Ho Lim, Hye Won Jeong, Yong Uk Chung, Seung Min Moon, Jun Sung Yoon, Ji Sung Won, Kyu Chang Lee, Hyoung Woo Predictive factors of lymph node metastasis in papillary thyroid cancer |
title | Predictive factors of lymph node metastasis in papillary thyroid cancer |
title_full | Predictive factors of lymph node metastasis in papillary thyroid cancer |
title_fullStr | Predictive factors of lymph node metastasis in papillary thyroid cancer |
title_full_unstemmed | Predictive factors of lymph node metastasis in papillary thyroid cancer |
title_short | Predictive factors of lymph node metastasis in papillary thyroid cancer |
title_sort | predictive factors of lymph node metastasis in papillary thyroid cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681174/ https://www.ncbi.nlm.nih.gov/pubmed/38011178 http://dx.doi.org/10.1371/journal.pone.0294594 |
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