Shi Diwei, Wang Xiaoxia, Li Sisi, Liu Fan, Jiang Xiaoyu, Chen Li, Zhang Jiuquan, Guo Hua, Xu Junzhong
Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
Department of Radiology, Chongqing University Cancer Hospital, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing 400030, China.
Magn Reson Imaging. 2025 Oct;122:110433. doi: 10.1016/j.mri.2025.110433. Epub 2025 Jun 1.
The evaluation of tumor response to neoadjuvant chemotherapy is critical for the personalized management of cancer patients, aiming to minimize unnecessary toxicity, costs, and treatment delays. Current imaging techniques primarily depend on detecting tumor volume changes, which reflect downstream effects. In contrast, advanced microstructural diffusion MRI (dMRI) methods offer cellular-level insights but are limited by biased estimates of cell density due to oversimplified biophysical models. We present a novel dMRI-based approach, EXCHANGE, which incorporates transcytolemmal water exchange into a quantitative multi-compartmental biophysical model. This method enables simultaneous mapping of cell size, density, and transcytolemmal water exchange, providing a comprehensive characterization of tumor microstructure. Validation through computer simulations and in vitro studies demonstrated the good accuracy of EXCHANGE-derived metrics. In a proof-of-concept study, EXCHANGE was applied to animal models and patients with triple-negative breast cancer, showcasing its potential to evaluate tumor therapeutic response to neoadjuvant chemotherapy. EXCHANGE offers a unique capability to characterize tumor microstructural properties at the cellular level, paving the way for improved monitoring of treatment response in clinical settings.
评估肿瘤对新辅助化疗的反应对于癌症患者的个性化管理至关重要,旨在将不必要的毒性、成本和治疗延迟降至最低。目前的成像技术主要依赖于检测肿瘤体积变化,这反映的是下游效应。相比之下,先进的微观结构扩散磁共振成像(dMRI)方法能提供细胞水平的见解,但由于生物物理模型过于简化,细胞密度估计存在偏差,限制了其应用。我们提出了一种基于dMRI的新方法EXCHANGE,该方法将跨细胞膜水交换纳入定量多室生物物理模型。这种方法能够同时绘制细胞大小、密度和跨细胞膜水交换图,全面表征肿瘤微观结构。通过计算机模拟和体外研究验证,结果表明EXCHANGE得出的指标具有良好的准确性。在一项概念验证研究中,EXCHANGE应用于动物模型和三阴性乳腺癌患者,展示了其评估肿瘤对新辅助化疗治疗反应的潜力。EXCHANGE具有在细胞水平表征肿瘤微观结构特性的独特能力,为临床环境中改善治疗反应监测铺平了道路。