Abstract PS1-06-07: Non-contrast detection of breast cancer using high-resolution restriction spectrum imaging

作者：Stéphane Loubrie, J. Lim, Summer Batasin, H. J. Yu, Jingjing Zou, S. Ebrahimi, C. C. Conlin, A. Guidon, T. M. Seibert, A. M. Dale, A. M. Wallace, Haydee Ojeda-Fournier, A. E. Rodriguez-Soto, Rebecca Rakow‐Penner · 发表于：Clinical Cancer Research · 年份：2026 · DOI：10.1158/1557-3265.sabcs25-ps1-06-07 · 研究领域：MRI in cancer diagnosis、Radiomics and Machine Learning in Medical Imaging、Advanced Neuroimaging Techniques and Applications

Abstract Problem: Breast MRI is recommended annually for high-risk individuals, typically using dynamic contrast-enhanced (DCE) MRI, which requires intravenous gadolinium. However, the added cost and invasiveness limit its use in average-risk populations. Developing a non-contrast MRI method would allow for expansion to broader screening. Diffusion-weighted imaging (DWI), a non-contrast technique, holds promise but suffers from low spatial resolution, limiting detection of small lesions. Restriction Spectrum Imaging (RSI), which uses multi-shell DWI, separates signal into restricted, hindered, free, and flow components without exogenous contrast, and has shown improved lesion characterization. This abstract presents a novel RSI model using multi-b-value input and high-resolution multi-band (MB) acquisition, achieving 2 mm isotropic resolution and improving small lesion detectability. Methods: Along with standard clinical DWI and DCE, high-resolution multi-shell (b-values (# of directions) 0 (1), 100 (6), 800 (6), 1500 (6), 3000 (12) s/mm2) DWI was collected using MB on 122 breast cancer and screening patients. RSI models follow a multi-exponential formula: S(b) = S0Σexp(-b*ADCi) = ΣCiexp(-b*ADCi). Tri- and tetra-exponential models (3C- and 4C-RSI) ADCi (fixed compartment apparent diffusion coefficients) were first calculated on large cancers (largest dimension > 2cm - 61 cancers). Ci signal contribution maps (C-maps) were estimated and provided spatial representation o...