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Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer
Sentinel lymph node (SLN) status is closely related to axillary lymph node metastasis in breast cancer. However, SLN biopsy has certain limitations due to invasiveness and diagnostic efficiency. This study aimed to develop a model to predict the risk of axillary SLN metastasis in early-stage breast...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589595/ https://www.ncbi.nlm.nih.gov/pubmed/37861524 http://dx.doi.org/10.1097/MD.0000000000035672 |
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author | Yuan, Caixing Xu, Guolin Zhan, Xiangmei Xie, Min Luo, Mingcong She, Lilan Xue, Yunjing |
author_facet | Yuan, Caixing Xu, Guolin Zhan, Xiangmei Xie, Min Luo, Mingcong She, Lilan Xue, Yunjing |
author_sort | Yuan, Caixing |
collection | PubMed |
description | Sentinel lymph node (SLN) status is closely related to axillary lymph node metastasis in breast cancer. However, SLN biopsy has certain limitations due to invasiveness and diagnostic efficiency. This study aimed to develop a model to predict the risk of axillary SLN metastasis in early-stage breast cancer based on mammography, a noninvasive, cost-effective, and potential complementary way. Herein, 649 patients with early-stage breast cancer (cT1–T2) who received SLN biopsy were assigned to the training cohort (n = 487) and the validation cohort (n = 162). A prediction model based on specific characteristics of tumor mass in mammography was developed and validated with R software. The performance of model was evaluated by receiver operating characteristic curve, calibration plot, and decision curve analysis. Tumor margins, spicular structures, calcification, and tumor size were independent predictors of SLN metastasis (all P < .05). A nomogram showed a satisfactory performance with an AUC of 0.829 (95% CI = 0.792–0.865) in the training cohort and an AUC of 0.825 (95% CI = 0.763–0.888) in validation cohort. The consistency between model-predicted results and actual observations showed great Hosmer–Lemeshow goodness-of-fit (P = .104). Patients could benefit from clinical decisions guided by the present model within the threshold probabilities of 6% to 84%. The prediction model for axillary SLN metastasis showed satisfactory discrimination, calibration abilities, and wide clinical practicability. These findings suggest that our prediction model based on mammography characteristics is a reliable tool for predicting SLN metastasis in patients with early-stage breast cancer. |
format | Online Article Text |
id | pubmed-10589595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-105895952023-10-22 Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer Yuan, Caixing Xu, Guolin Zhan, Xiangmei Xie, Min Luo, Mingcong She, Lilan Xue, Yunjing Medicine (Baltimore) 6800 Sentinel lymph node (SLN) status is closely related to axillary lymph node metastasis in breast cancer. However, SLN biopsy has certain limitations due to invasiveness and diagnostic efficiency. This study aimed to develop a model to predict the risk of axillary SLN metastasis in early-stage breast cancer based on mammography, a noninvasive, cost-effective, and potential complementary way. Herein, 649 patients with early-stage breast cancer (cT1–T2) who received SLN biopsy were assigned to the training cohort (n = 487) and the validation cohort (n = 162). A prediction model based on specific characteristics of tumor mass in mammography was developed and validated with R software. The performance of model was evaluated by receiver operating characteristic curve, calibration plot, and decision curve analysis. Tumor margins, spicular structures, calcification, and tumor size were independent predictors of SLN metastasis (all P < .05). A nomogram showed a satisfactory performance with an AUC of 0.829 (95% CI = 0.792–0.865) in the training cohort and an AUC of 0.825 (95% CI = 0.763–0.888) in validation cohort. The consistency between model-predicted results and actual observations showed great Hosmer–Lemeshow goodness-of-fit (P = .104). Patients could benefit from clinical decisions guided by the present model within the threshold probabilities of 6% to 84%. The prediction model for axillary SLN metastasis showed satisfactory discrimination, calibration abilities, and wide clinical practicability. These findings suggest that our prediction model based on mammography characteristics is a reliable tool for predicting SLN metastasis in patients with early-stage breast cancer. Lippincott Williams & Wilkins 2023-10-20 /pmc/articles/PMC10589595/ /pubmed/37861524 http://dx.doi.org/10.1097/MD.0000000000035672 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | 6800 Yuan, Caixing Xu, Guolin Zhan, Xiangmei Xie, Min Luo, Mingcong She, Lilan Xue, Yunjing Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer |
title | Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer |
title_full | Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer |
title_fullStr | Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer |
title_full_unstemmed | Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer |
title_short | Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer |
title_sort | molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer |
topic | 6800 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589595/ https://www.ncbi.nlm.nih.gov/pubmed/37861524 http://dx.doi.org/10.1097/MD.0000000000035672 |
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