Multiparametric MRI deep learning model based on dynamic Contrast-enhanced and apparent diffusion coefficient map enables accurate prediction of benign and malignant breast lesions

Lijun Wang; Ruobing Wang; Huanhuan Liu; Dengbin Wang

doi:10.1186/s40644-025-00970-1

December 5, 2025Cancer ImagingOpen Access

Multiparametric MRI deep learning model based on dynamic Contrast-enhanced and apparent diffusion coefficient map enables accurate prediction of benign and malignant breast lesions

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Key Points

The deep learning model shows high diagnostic performance for identifying benign lesions and distinguishing them from malignant ones, improving accuracy in breast cancer diagnostics.
Promising results indicate that the model can aid in the radiological assessment of breast lesions, facilitating better clinical decision-making across healthcare settings.
Multiparametric MRI and dynamic contrast-enhanced imaging were utilized, enhancing the algorithm's ability to analyze breast lesions effectively.
Further validation through prospective studies and multicenter trials is essential to confirm the model's effectiveness and reliability in diverse populations.

Implication

Deep learning model demonstrates high diagnostic performance for benign breast lesions, suggesting improved clinical decision-making.

Abstract

The DCE-ADC combined DL model shows promising diagnostic performance and has good potential to assist junior radiologists in improving diagnostic efficacy, which can facilitate clinical decision-making. Further studies will validate these findings in prospective, larger cohorts, multicenter, multiscanner and multinational studies.

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Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/694022612d562116f28fc8b4 https://doi.org/10.1186/s40644-025-00970-1

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Multiparametric MRI deep learning model based on dynamic Contrast-enhanced and apparent diffusion coefficient map enables accurate prediction of benign and malignant breast lesions

Key Points

Implication

Abstract

Discussion

Cite This Study

Multiparametric MRI deep learning model based on dynamic Contrast-enhanced and apparent diffusion coefficient map enables accurate prediction of benign and malignant breast lesions

Key Points

Implication

Abstract

Discussion

Cite This Study

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