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European Radiology
Published in: European Radiology 12/2020

01-12-2020 | Metastasis | Breast

Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study

Authors: Ning Mao, Ping Yin, Qin Li, Qinglin Wang, Meijie Liu, Heng Ma, Jianjun Dong, Kaili Che, Zhongyi Wang, Shaofeng Duan, Xuexi Zhang, Nan Hong, Haizhu Xie

Published in: European Radiology | Issue 12/2020

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Abstract

Objective

This study aims to establish and validate a radiomics nomogram based on contrast-enhanced spectral mammography (CESM) for prediction of axillary lymph node (ALN) metastasis in breast cancer.

Methods

This retrospective study included 394 patients with breast cancer who underwent CESM examination in two hospitals. The least absolute shrinkage and selection operator (LASSO) logistic regression was established for feature selection and utilized to construct radiomics signature. The nomogram model included the radiomics signature and independent clinical factors. The receiver operating characteristic (ROC) curves were used to confirm the performance of the nomogram in training and validation sets.

Results

The nomogram model, which includes the radiomics signature and the CESM-reported lymph node status, has areas under the ROC curves of 0.774 (95% confidence interval (CI) 0.689–0.858), 0.767 (95% CI 0.583–0.857), and 0.79 (95% CI 0.63–0.94) in the training, internal validation, and external validation sets, respectively. We identified the cutoff score in the radiomics nomogram as − 1.49, which corresponded to a total point of 49 that could diagnose ALN metastasis with a sensitivity of > 95%.

Conclusions

The CESM-based radiomics nomogram is a noninvasive predictive tool that shows good application prospects in the preoperative prediction of ALN metastasis in breast cancer.

Key Points

• The CESM-based radiomics nomogram shows good performance in predicting ALN metastasis in breast cancer.
• The application of radiomics nomogram in this study provides a new approach for establishing a prediction model with multiple characteristics.
• The nomogram has good application prospects in assisting clinical decision makers.
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Metadata
Title
Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study
Authors
Ning Mao
Ping Yin
Qin Li
Qinglin Wang
Meijie Liu
Heng Ma
Jianjun Dong
Kaili Che
Zhongyi Wang
Shaofeng Duan
Xuexi Zhang
Nan Hong
Haizhu Xie
Publication date
01-12-2020
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 12/2020
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-020-07016-z

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