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Evaluation of a continuous‐time random‐walk diffusion model for the differentiation of malignant and benign breast lesions and its association with Ki‐67 expression

Mu Du, Zou Da, Peng Gao, Zhongxian Yang, Yanzhen Hou, Liyun Zheng, Na Zhang, Yubao Liu

2023NMR in Biomedicine11 citationsDOI

Abstract

Abstract The 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/mm 2 ). Three CTRW model parameters, including an anomalous diffusion coefficient D m , 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/mm 2 . 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 D m , α , and β were significantly lower than the corresponding parameters of benign breast lesions. In the malignant breast lesion group, the CTRW parameter D m was significantly lower in high Ki‐67 expression than in low Ki‐67 expression. In ROC analysis, the combination of CTRW parameters ( D m , 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.

Topics & Concepts

Expression (computer science)Random walkAssociation (psychology)DiffusionDiffusion MRIPathologyOncologyComputational biologyMedicineInternal medicineBiologyPsychologyStatisticsComputer scienceMathematicsMagnetic resonance imagingPhysicsRadiologyPsychotherapistProgramming languageThermodynamicsMRI in cancer diagnosisMathematical Biology Tumor GrowthRadiomics and Machine Learning in Medical Imaging