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Volume 20, Issue 1
  • ISSN: 1573-4056
  • E-ISSN: 1875-6603
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Abstract

Aim:

Our aim was to explore the feasibility of using radiomics data derived from intratumoral and peritumoral edema on fat-suppressed T2-weighted imaging (T2 FS) to distinguish triple-negative breast cancer (TNBC) from non-triple-negative breast cancer (non-TNBC).

Methods:

This retrospective study enrolled 174 breast cancer patients. According to the MRI examination time, patients before 2021 were divided into training (n = 119) or internal test (n = 30) cohorts at a ratio of 8:2. Patients from 2022 were included in the external test cohort (n = 25). Four regions of interest for each lesion were defined: intratumoral regions, peritumoral edema regions, regions with a combination of intratumoral and peritumoral edema, and regions with a combination of intratumoral and 5-mm peritumoral. Four radiomic signatures were built using the least absolute shrinkage and selection operator (LASSO) method after selecting features. Furthermore, a radio mic-radiological model was constructed using a combination of intratumoral and peritumoral edema regions along with clinical-radiologic features. Area under the receiver operating characteristic curve (AUC) calculations, decision curve analysis, and calibration curve analysis were performed to assess the performance of each model.

Results:

The radiomic-radiological model showed the highest AUC values of 0.906 (0.788-1.000) and 0.825 (0.622-0.947) in both the internal and external test sets, respectively. The radiology-radiomic model exhibited excellent predictive performance, as evidenced by the calibration curves and decision curve analysis.

Conclusion:

The ensemble model based on T2 FS-based radiomic features of intratumoral and peritumoral edema, along with radiological factors, performed better in distinguishing TNBC from non-TNBC than a single model. We explored the possibility of developing explainable models to support the clinical decision-making process.

© 2024 The Author(s). Published by Bentham Science Publisher.
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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2024-04-19
2025-05-30

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/content/journals/cmir/10.2174/0115734056293294240417100820
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Intratumoral and Peritumoral Edema Radiomics Based on Fat-Suppressed T2-Weighted Imaging for Preoperative Prediction of Triple-Negative Breast Cancer
Curr. Med. Imaging 20, e15734056293294 (2024); https://doi.org/10.2174/0115734056293294240417100820
/content/journals/cmir/10.2174/0115734056293294240417100820
/content/journals/cmir/10.2174/0115734056293294240417100820
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  • Article Type:     Research Article
Keyword(s): Breast cancer; Fat-suppressed T2-weighted imaging; Magnetic resonance imaging; Model explainability; Peritumoral edema; Radiomics; Triple-negative breast cancer

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