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DOI 10.1016/j.crad.2025.107019

Медицинская библиотека · Clinical radiology · 2025

Combining intratumoral and peritumoral multimodality magnetic resonance imaging (MRI) to predict the expression level of human epidermal growth factor receptor-2 (HER-2) in breast cancer.

Feng Wen, Qu Mengmeng, Xiong Yuhui, Ji Kun, Dang Wencheng, Wang Zihan, Lei Junqiang

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

AIM: Human epidermal growth factor receptor-2 (HER-2), a proto-oncogene associated with breast cancer (BC) development and prognosis. This study investigated the predictive value of intratumoural and peritumoural multimodal magnetic resonance imaging (MRI) for HER-2 expression levels in BC.

MATERIALS AND

METHODS

This retrospective study involved 82 patients with preoperative MRI and postoperative pathological evaluation for HER-2 expression, divided into negative (n = 57) and positive groups (n = 25). MRI was conducted using a 3.0T field strength and involved sequences including iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification (IDEAL-IQ), multiplexed sensitivity encoding intravoxel incoherent motion (MUSE-IVIM), and magnetic resonance image complication (MAGIC). Assessment focused on intratumoural and peritumoural parameters such as fat fraction (FF), relaxation rate (R2∗), tissue diffusivity (Dt), pseudo-diffusivity (Dp), perfusion fraction (f), apparent diffusion coefficient (ADC), T1 (-/+C), T2 (-/+C), and proton density (PD, -/+C) to enhance differentiation between two groups. Statistical analyses included the Kolmogorov-Smirnov, Student's t-test, and Mann-Whitney U-test, along with logistic regression and receiver operating characteristic curves (AUC) for diagnostic performance evaluation.

RESULTS

There were significant differences in FF-R1, R2∗-R1, MUSE-Dt-R1, MUSE-Dt-R2, MUSE-Dp-R2, MUSE-ADC-R2, T1-R2, T1+C-R1, T1+C-R2, T1+C-R3, and sub-T1-R2 between the HER-2 positive and negative group. The ROC analysis showed that the combined model (AUC = 0.822, P < 0.001, 95% CI = 0.730, 0.913) had higher diagnostic performance for predicting HER-2 expression in BC than other models.

CONCLUSION

Intratumoural and peritumoural multimodal MRI parameters based on preoperative breast MRI showed potential for the noninvasive evaluation of HER-2 status in BC.

Для цитирования: Feng Wen, Qu Mengmeng, Xiong Yuhui, Ji Kun, Dang Wencheng, Wang Zihan, Lei Junqiang. Combining intratumoral and peritumoral multimodality magnetic resonance imaging (MRI) to predict the expression level of human epidermal growth factor receptor-2 (HER-2) in breast cancer.. Clinical radiology. 2025. DOI: 10.1016/j.crad.2025.107019.

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