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Prediction of the Lymph Node Status in Patients with Intrahepatic Cholangiocarcinoma: Analysis of 320 Surgical Cases

Purpose: This study was conducted to identify factors involved in lymph node metastasis (LNM) and evaluate their role in predicting LNM in clinically lymph node negative (clinical stage I–III) intrahepatic cholangiocarcinoma (ICC). Materials and Methods: We selected 320 patients who were diagnosed w...

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Autores principales: Chen, Yi-Xing, Zeng, Zhao-Chong, Tang, Zhao-You, Fan, Jia, Zhou, Jian, Jiang, Wei, Zeng, Meng-Su, Tan, Yun-Shan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355947/
https://www.ncbi.nlm.nih.gov/pubmed/22649763
http://dx.doi.org/10.3389/fonc.2011.00042
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author Chen, Yi-Xing
Zeng, Zhao-Chong
Tang, Zhao-You
Fan, Jia
Zhou, Jian
Jiang, Wei
Zeng, Meng-Su
Tan, Yun-Shan
author_facet Chen, Yi-Xing
Zeng, Zhao-Chong
Tang, Zhao-You
Fan, Jia
Zhou, Jian
Jiang, Wei
Zeng, Meng-Su
Tan, Yun-Shan
author_sort Chen, Yi-Xing
collection PubMed
description Purpose: This study was conducted to identify factors involved in lymph node metastasis (LNM) and evaluate their role in predicting LNM in clinically lymph node negative (clinical stage I–III) intrahepatic cholangiocarcinoma (ICC). Materials and Methods: We selected 320 patients who were diagnosed with ICC with no apparent clinical LNM (T(1–3)N(0)M(0)). Age, gender, tumor boundary, histological differentiation, tumor size, and carbohydrate antigen 19-9 value were the studied factors. Univariate and multivariate logistic analysis were conducted. Receiver operating characteristics curve analysis was used to test the predicting value of each factor and a test which combined the associated factors was used to predict LNM. Results: LNM was observed in 76 cases (76/320, 23.8%). Univariate and multivariate analysis showed that histological differentiation as well as tumor boundary and tumor size significantly correlated with LNM. The sensitivity and negative predictive value for LNM for the three factors when combined was 96.1 and 95% respectively. This means that 5% of the patients who did not have the risk factors mentioned above developed LNM. Conclusion: This model used the combination of three factors (low-graded histological differentiation, distinct tumor boundary, small tumor size) and they proved to be useful in predicting LNM in ICC with clinically lymph node negative cases. In patients with these criteria, lymph node dissection or lymph node irradiation may be omitted and such cases may also be good candidates for stereotactic body radiotherapy (SBRT).
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spelling pubmed-33559472012-05-30 Prediction of the Lymph Node Status in Patients with Intrahepatic Cholangiocarcinoma: Analysis of 320 Surgical Cases Chen, Yi-Xing Zeng, Zhao-Chong Tang, Zhao-You Fan, Jia Zhou, Jian Jiang, Wei Zeng, Meng-Su Tan, Yun-Shan Front Oncol Oncology Purpose: This study was conducted to identify factors involved in lymph node metastasis (LNM) and evaluate their role in predicting LNM in clinically lymph node negative (clinical stage I–III) intrahepatic cholangiocarcinoma (ICC). Materials and Methods: We selected 320 patients who were diagnosed with ICC with no apparent clinical LNM (T(1–3)N(0)M(0)). Age, gender, tumor boundary, histological differentiation, tumor size, and carbohydrate antigen 19-9 value were the studied factors. Univariate and multivariate logistic analysis were conducted. Receiver operating characteristics curve analysis was used to test the predicting value of each factor and a test which combined the associated factors was used to predict LNM. Results: LNM was observed in 76 cases (76/320, 23.8%). Univariate and multivariate analysis showed that histological differentiation as well as tumor boundary and tumor size significantly correlated with LNM. The sensitivity and negative predictive value for LNM for the three factors when combined was 96.1 and 95% respectively. This means that 5% of the patients who did not have the risk factors mentioned above developed LNM. Conclusion: This model used the combination of three factors (low-graded histological differentiation, distinct tumor boundary, small tumor size) and they proved to be useful in predicting LNM in ICC with clinically lymph node negative cases. In patients with these criteria, lymph node dissection or lymph node irradiation may be omitted and such cases may also be good candidates for stereotactic body radiotherapy (SBRT). Frontiers Research Foundation 2011-11-10 /pmc/articles/PMC3355947/ /pubmed/22649763 http://dx.doi.org/10.3389/fonc.2011.00042 Text en Copyright © 2011 Chen, Zeng, Tang, Fan, Zhou, Jiang, Zeng and Tan. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
spellingShingle Oncology
Chen, Yi-Xing
Zeng, Zhao-Chong
Tang, Zhao-You
Fan, Jia
Zhou, Jian
Jiang, Wei
Zeng, Meng-Su
Tan, Yun-Shan
Prediction of the Lymph Node Status in Patients with Intrahepatic Cholangiocarcinoma: Analysis of 320 Surgical Cases
title Prediction of the Lymph Node Status in Patients with Intrahepatic Cholangiocarcinoma: Analysis of 320 Surgical Cases
title_full Prediction of the Lymph Node Status in Patients with Intrahepatic Cholangiocarcinoma: Analysis of 320 Surgical Cases
title_fullStr Prediction of the Lymph Node Status in Patients with Intrahepatic Cholangiocarcinoma: Analysis of 320 Surgical Cases
title_full_unstemmed Prediction of the Lymph Node Status in Patients with Intrahepatic Cholangiocarcinoma: Analysis of 320 Surgical Cases
title_short Prediction of the Lymph Node Status in Patients with Intrahepatic Cholangiocarcinoma: Analysis of 320 Surgical Cases
title_sort prediction of the lymph node status in patients with intrahepatic cholangiocarcinoma: analysis of 320 surgical cases
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355947/
https://www.ncbi.nlm.nih.gov/pubmed/22649763
http://dx.doi.org/10.3389/fonc.2011.00042
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