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A novel risk‐scoring system for predicting lymph node metastasis of rectal neuroendocrine tumors

AIM: Although rectal neuroendocrine tumors (NETs) are considered to be rare low‐grade malignancies when lymph node metastasis (LNM) is present, their degree of malignancy is comparable to that of colorectal cancer (CRC). However, it remains unclear as to which patients require radical lymph node dis...

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Autores principales: Chida, Keigo, Watanabe, Jun, Hirasawa, Kingo, Inayama, Yoshiaki, Misumi, Toshihiro, Kunisaki, Chikara, Endo, Itaru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511567/
https://www.ncbi.nlm.nih.gov/pubmed/33005851
http://dx.doi.org/10.1002/ags3.12355
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author Chida, Keigo
Watanabe, Jun
Hirasawa, Kingo
Inayama, Yoshiaki
Misumi, Toshihiro
Kunisaki, Chikara
Endo, Itaru
author_facet Chida, Keigo
Watanabe, Jun
Hirasawa, Kingo
Inayama, Yoshiaki
Misumi, Toshihiro
Kunisaki, Chikara
Endo, Itaru
author_sort Chida, Keigo
collection PubMed
description AIM: Although rectal neuroendocrine tumors (NETs) are considered to be rare low‐grade malignancies when lymph node metastasis (LNM) is present, their degree of malignancy is comparable to that of colorectal cancer (CRC). However, it remains unclear as to which patients require radical lymph node dissection. The aim of this study was to elucidate the risk factors for LNM and develop a risk‐scoring system for LNM to help determine appropriate therapeutic approaches. METHODS: In this study, we examined 103 patients with rectal NETs who underwent local resection (n = 55) or radical resection with LN dissection (n = 48). We evaluated each pathological feature, including the depth of submucosal invasion (SM depth) and tumor budding grade. RESULTS: According to our univariate analyses and previous reports, the significant five risk factors for LNM were weighted with point values: 2 points for tumor size ≥ 15 mm and muscularis invasion, and 1 point each for SM depth ≥ 2000 µm, positive lymphovascular invasion, budding grade 3, and vertical margin. The area under the receiver operating curve for the scoring system was 0.899 (95% CI: 0.843‐0.955). When a score of 2 was used as the cut‐off value, the sensitivity and specificity for the prediction of LNM were 100% and 72.1%, respectively. CONCLUSIONS: The risk‐scoring system for LNM of rectal NETs showed high diagnostic performance. Using this risk‐scoring system, it is possible to predict the risk of LNM and thereby potentially avoid unnecessary surgery. Further prospective external validation studies should be performed. The study was registered in the Japanese Clinical Trials Registry as UMIN000036658.
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spelling pubmed-75115672020-09-30 A novel risk‐scoring system for predicting lymph node metastasis of rectal neuroendocrine tumors Chida, Keigo Watanabe, Jun Hirasawa, Kingo Inayama, Yoshiaki Misumi, Toshihiro Kunisaki, Chikara Endo, Itaru Ann Gastroenterol Surg Original Articles AIM: Although rectal neuroendocrine tumors (NETs) are considered to be rare low‐grade malignancies when lymph node metastasis (LNM) is present, their degree of malignancy is comparable to that of colorectal cancer (CRC). However, it remains unclear as to which patients require radical lymph node dissection. The aim of this study was to elucidate the risk factors for LNM and develop a risk‐scoring system for LNM to help determine appropriate therapeutic approaches. METHODS: In this study, we examined 103 patients with rectal NETs who underwent local resection (n = 55) or radical resection with LN dissection (n = 48). We evaluated each pathological feature, including the depth of submucosal invasion (SM depth) and tumor budding grade. RESULTS: According to our univariate analyses and previous reports, the significant five risk factors for LNM were weighted with point values: 2 points for tumor size ≥ 15 mm and muscularis invasion, and 1 point each for SM depth ≥ 2000 µm, positive lymphovascular invasion, budding grade 3, and vertical margin. The area under the receiver operating curve for the scoring system was 0.899 (95% CI: 0.843‐0.955). When a score of 2 was used as the cut‐off value, the sensitivity and specificity for the prediction of LNM were 100% and 72.1%, respectively. CONCLUSIONS: The risk‐scoring system for LNM of rectal NETs showed high diagnostic performance. Using this risk‐scoring system, it is possible to predict the risk of LNM and thereby potentially avoid unnecessary surgery. Further prospective external validation studies should be performed. The study was registered in the Japanese Clinical Trials Registry as UMIN000036658. John Wiley and Sons Inc. 2020-06-10 /pmc/articles/PMC7511567/ /pubmed/33005851 http://dx.doi.org/10.1002/ags3.12355 Text en © 2020 The Authors. Annals of Gastroenterological Surgery published by John Wiley & Sons Australia, Ltd on behalf of The Japanese Society of Gastroenterological Surgery This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Chida, Keigo
Watanabe, Jun
Hirasawa, Kingo
Inayama, Yoshiaki
Misumi, Toshihiro
Kunisaki, Chikara
Endo, Itaru
A novel risk‐scoring system for predicting lymph node metastasis of rectal neuroendocrine tumors
title A novel risk‐scoring system for predicting lymph node metastasis of rectal neuroendocrine tumors
title_full A novel risk‐scoring system for predicting lymph node metastasis of rectal neuroendocrine tumors
title_fullStr A novel risk‐scoring system for predicting lymph node metastasis of rectal neuroendocrine tumors
title_full_unstemmed A novel risk‐scoring system for predicting lymph node metastasis of rectal neuroendocrine tumors
title_short A novel risk‐scoring system for predicting lymph node metastasis of rectal neuroendocrine tumors
title_sort novel risk‐scoring system for predicting lymph node metastasis of rectal neuroendocrine tumors
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511567/
https://www.ncbi.nlm.nih.gov/pubmed/33005851
http://dx.doi.org/10.1002/ags3.12355
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