Cargando…

A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery

Based on the American College of Surgeons Oncology Group (ACOSOG)-Z0011, a useful nomogram has been constructed to identify patients who do not require intraoperative frozen sections to evaluate sentinel lymph nodes in the previous study. This study investigated the developed nomogram by ultrasonogr...

Descripción completa

Detalles Bibliográficos
Autores principales: Kang, Young-Joon, Park, Jung Hyun, Ju, Young Wook, Kim, Kyoung-Eun, Kim, Yumi, Lee, Eunshin, Lee, Han-Byoel, Noh, Dong-Young, Han, Wonshik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287421/
https://www.ncbi.nlm.nih.gov/pubmed/35840785
http://dx.doi.org/10.1038/s41598-022-16538-z
_version_ 1784748248903188480
author Kang, Young-Joon
Park, Jung Hyun
Ju, Young Wook
Kim, Kyoung-Eun
Kim, Yumi
Lee, Eunshin
Lee, Han-Byoel
Noh, Dong-Young
Han, Wonshik
author_facet Kang, Young-Joon
Park, Jung Hyun
Ju, Young Wook
Kim, Kyoung-Eun
Kim, Yumi
Lee, Eunshin
Lee, Han-Byoel
Noh, Dong-Young
Han, Wonshik
author_sort Kang, Young-Joon
collection PubMed
description Based on the American College of Surgeons Oncology Group (ACOSOG)-Z0011, a useful nomogram has been constructed to identify patients who do not require intraoperative frozen sections to evaluate sentinel lymph nodes in the previous study. This study investigated the developed nomogram by ultrasonography (US) and positron emission tomography (PET)/computed tomography (CT) as a modality. In the training set, 89/1030 (8.6%) patients had three or more positive nodes. Larger tumor size, higher grade ultrasonographic ALN classification, and findings suspicious of positive ALN on PET/CT were associated in multivariate analysis. The areas under the receiver operating characteristic curve (AUC) of the nomogram were 0.856 [95% CI 0.815–0.897] in the training set. The AUC in the validation set was 0.866 [95% CI 0.799–0.934]. Application of the nomogram to 1067 patients who met the inclusion criteria of ACOSOG-Z0011 showed that 90 (8.4%) patients had scores above the cut-off and a false-negative result was 37 (3.8%) patients. And the specificity was 93.8%, and the negative predictive value was 96.4%. The upgraded nomogram improved the predictive accuracy, using only US and PET/CT. This nomogram is useful for identifying patients who do not require intraoperative analysis of sentinel lymph nodes and considering candidates for identifying neoadjuvant chemotherapy. The patients consisted of clinical T1-2 and node-negative invasive breast cancer. The training and validation set consisted of 1030 and 781 patients, respectively. A nomogram was constructed by analyzing factors related to three or more axillary lymph node metastases. The patients who matched the ACOSOG-Z0011 criteria were selected and applied to the new nomogram.
format Online
Article
Text
id pubmed-9287421
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-92874212022-07-17 A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery Kang, Young-Joon Park, Jung Hyun Ju, Young Wook Kim, Kyoung-Eun Kim, Yumi Lee, Eunshin Lee, Han-Byoel Noh, Dong-Young Han, Wonshik Sci Rep Article Based on the American College of Surgeons Oncology Group (ACOSOG)-Z0011, a useful nomogram has been constructed to identify patients who do not require intraoperative frozen sections to evaluate sentinel lymph nodes in the previous study. This study investigated the developed nomogram by ultrasonography (US) and positron emission tomography (PET)/computed tomography (CT) as a modality. In the training set, 89/1030 (8.6%) patients had three or more positive nodes. Larger tumor size, higher grade ultrasonographic ALN classification, and findings suspicious of positive ALN on PET/CT were associated in multivariate analysis. The areas under the receiver operating characteristic curve (AUC) of the nomogram were 0.856 [95% CI 0.815–0.897] in the training set. The AUC in the validation set was 0.866 [95% CI 0.799–0.934]. Application of the nomogram to 1067 patients who met the inclusion criteria of ACOSOG-Z0011 showed that 90 (8.4%) patients had scores above the cut-off and a false-negative result was 37 (3.8%) patients. And the specificity was 93.8%, and the negative predictive value was 96.4%. The upgraded nomogram improved the predictive accuracy, using only US and PET/CT. This nomogram is useful for identifying patients who do not require intraoperative analysis of sentinel lymph nodes and considering candidates for identifying neoadjuvant chemotherapy. The patients consisted of clinical T1-2 and node-negative invasive breast cancer. The training and validation set consisted of 1030 and 781 patients, respectively. A nomogram was constructed by analyzing factors related to three or more axillary lymph node metastases. The patients who matched the ACOSOG-Z0011 criteria were selected and applied to the new nomogram. Nature Publishing Group UK 2022-07-15 /pmc/articles/PMC9287421/ /pubmed/35840785 http://dx.doi.org/10.1038/s41598-022-16538-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kang, Young-Joon
Park, Jung Hyun
Ju, Young Wook
Kim, Kyoung-Eun
Kim, Yumi
Lee, Eunshin
Lee, Han-Byoel
Noh, Dong-Young
Han, Wonshik
A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery
title A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery
title_full A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery
title_fullStr A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery
title_full_unstemmed A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery
title_short A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery
title_sort nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287421/
https://www.ncbi.nlm.nih.gov/pubmed/35840785
http://dx.doi.org/10.1038/s41598-022-16538-z
work_keys_str_mv AT kangyoungjoon anomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT parkjunghyun anomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT juyoungwook anomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT kimkyoungeun anomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT kimyumi anomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT leeeunshin anomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT leehanbyoel anomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT nohdongyoung anomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT hanwonshik anomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT kangyoungjoon nomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT parkjunghyun nomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT juyoungwook nomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT kimkyoungeun nomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT kimyumi nomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT leeeunshin nomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT leehanbyoel nomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT nohdongyoung nomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery
AT hanwonshik nomogramforpredictingthreeormoreaxillarylymphnodeinvolvementbeforebreastcancersurgery