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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...

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Autores principales: Yuan, Caixing, Xu, Guolin, Zhan, Xiangmei, Xie, Min, Luo, Mingcong, She, Lilan, Xue, Yunjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
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.
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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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