Affiliation:
1. Medical Imaging Center, Shenzhen Hospital Southern Medical University Shenzhen China
2. The Third School of Clinical Medicine Southern Medical University Guangzhou China
3. Central Research Institute United Imaging Healthcare Shanghai China
4. Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China
Abstract
AbstractThe purpose of the current study was to evaluate the performance of a continuous‐time random‐walk (CTRW) diffusion model for differentiating malignant and benign breast lesions and to consider the potential association between CTRW parameters and the Ki‐67 expression. Sixty‐four patients (46.2 ± 11.4 years) with breast lesions (29 malignant and 35 benign) were evaluated with the CTRW model, intravoxel incoherent motion model, and diffusion‐weighted imaging. Echo planar diffusion‐weighted imaging was conducted using 13 b‐values (0‐3000 s/mm2). Three CTRW model parameters, including an anomalous diffusion coefficient Dm, and two parameters related to temporal and spatial diffusion heterogeneity, α and β, respectively, were obtained, and had MRI b‐values of 0–3000 s/mm2. Receiver operating characteristic (ROC) analysis was conducted to determine the sensitivity, specificity, and diagnostic accuracy of CTRW parameters for differentiating malignant from benign breast lesions. In malignant breast lesions, the CTRW parameters Dm, α, and β were significantly lower than the corresponding parameters of benign breast lesions. In the malignant breast lesion group, the CTRW parameter Dm was significantly lower in high Ki‐67 expression than in low Ki‐67 expression. In ROC analysis, the combination of CTRW parameters (Dm, α, β) demonstrated the highest area under the curve value (0.985) and diagnostic accuracy (94.23%) in differentiating malignant and benign breast lesions. The CTRW model effectively differentiated malignant from benign breast lesions. The CTRW diffusion model offers a new way for noninvasive assessment of breast malignancy and better understanding of the proliferation of malignant lesions.
Funder
Shenzhen Science and Technology Innovation Program
Subject
Spectroscopy,Radiology, Nuclear Medicine and imaging,Molecular Medicine
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献