Time-dependent diffusion MRI for noninvasive molecular subtype differentiation and biological correlation in breast...

Breast cancer is a heterogeneous disease, and accurate subtype characterization is essential for guiding personalized treatment. In particular, HER2-low tumors have recently emerged as a distinct clinical entity with potential responsiveness to novel HER2-targeted therapies. However, reliable noninvasive imaging methods to identify these subgroups remain lacking.

To evaluate the potential of time-dependent diffusion MRI (T_d-dMRI) in differentiating breast cancer molecular subtypes and to investigate its correlation with immunohistochemical biomarkers, particularly the newly established three-tier HER2 classification.

In this retrospective study, female patients with untreated invasive ductal carcinoma underwent 3T breast MRI including T_d-dMRI between June 2023 and October 2024. A custom protocol combining oscillating gradient spin-echo (OGSE) and pulsed gradient spin-echo (PGSE) sequences enabled diffusion sampling at multiple diffusion times and frequencies. Microstructural parameters-cellularity, extracellular and intracellular diffusivity (D_ex, D_in), cell diameter, intracellular volume fraction (f_in), and intracellular water residence time (τ_in)-were estimated using a Bayesian model based on a joint multicompartmental framework. Molecular subtypes (Luminal A/B, HER2-enriched, triple-negative [TN]) and HER2 expression levels (HER2-zero, HER2-low, HER2-positive) were determined via IHC and fluorescence in situ hybridization (FISH). Quantitative T_d-dMRI metrics were compared across subtypes and correlated with ER, PR, HER2, and Ki-67 status using ANOVA, Kruskal-Wallis, and ROC curve analysis.

This study included 71 female participants (mean age, 51.3 ± 10.2 years). Multiple T_d-dMRI parameters varied significantly across molecular and HER2 subtypes. ADC_50Hz was significantly higher in Luminal A compared to Luminal B (P = 0.003). HER2-enriched tumors showed higher ADC values and cell diameters but lower cellularity compared to Luminal B (P< 0.05). ER- and PR- tumors had higher ADCs, cell diameters, and D_in, with lower cellularity than positive counterparts. D_in effectively distinguished TN from non-TN cancers (AUC = 0.710). For HER2 stratification, ADC_30ms distinguished HER2-zero from HER2-low tumors with high accuracy (AUC = 0.898), and cell diameter and cellularity were most effective for differentiating HER2-low from HER2-positive tumors (AUC = 0.770). No significant T_d-dMRI differences were observed for Ki-67.

ADC_30ms most effectively distinguished HER2-zero from HER2-low tumors, while microstructural parameters such as cellularity and cell diameter moderately differentiated HER2-low from HER2-positive cancers. These results support the potential of T_d-dMRI as a complementary imaging biomarker for subtype characterization, although findings were limited by small subgroup sizes and the single-center design.