ORIGINAL RESEARCH article
Front. Oncol.
Sec. Breast Cancer
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1403262
This article is part of the Research TopicDynamic Contrast-enhanced Imaging: Technology Progress and Clinical Application in OncologyView all 5 articles
Analysis of dynamic contrast enhancement T1 weighted imaging parameters in type II TIC breast lesions
Provisionally accepted
- Shanghai Fourth People's Hospital, Shanghai, China
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Background: In dynamic contrast-enhanced magnetic resonance imaging (DCE-T1WI) of breast lesions, type III time-intensity curves (TICs) are associated with malignant lesions, and type I TICs are associated with benign lesions, but the association of type II curves with the status of breast lesions remain controversial. This study aimed to analyze the semi-quantitative parameters derived from DCE-T1WI in patients with type II TIC breast lesions and to develop a nomogram for benign/malignant classification of lesions with type II TIC curves.Methods: Patients with type II TIC breast lesions were retrospectively collected. Semi-quantitative parameters were collected: signal intensity of pre-contrast (SIpre), peak signal intensity (SIp), signal intensity of wash-in (SIwi), slope of peak (Sp), slope of wash-in (Swi), time to peak (Tp), time of wash-in (Twi), enhancement rate of peak (ERp) and the enhancement rate of wash-in (ERwi). Univariable and multivariable analyses were performed to select useful clinical and DCE-T1WI features. Selected features were used for nomogram model development. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and area under the curve (AUC) were used for model performance evaluation.Results: Ninety-eight female patients with type II TIC breast lesions were included (53 with malignant lesions). After univariable and multivariable logistic regression analyses, only Tp showed an odds ratio of 0.95 (P = 0.014, 95% confidence interval: 0.93-0.97). A nomogram was constructed and included Swi, SIp, SIwi, SIpre, Tp, Erp, and Sp. The sensitivity, specificity, PPV, NPV, and accuracy of the nomogram were 0.827, 0.761, 0.795, 0.796, and 0.796, respectively. The AUC was 0.862.Conclusion: DCE-T1WI semi-quantitative parameters were different among benign and malignant lesions in patients with type II TIC lesions. Tp showed the most significant difference after a multivariable logistic regression analysis. The results suggest that DCE-T1WI semi-quantitative parameters can be used to predict malignant lesions in patients with type II TIC.
Keywords: breast cancer, Time signal intensity curve, Multivariable analysis, Classification, nomogram
Received: 19 Mar 2024; Accepted: 21 Jul 2025.
Copyright: © 2025 Jiang, Ma, Li, Han and Luo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yu Luo, Shanghai Fourth People's Hospital, Shanghai, China
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