ArticleDiagnostic and interventional radiology (Ankara, Turkey)2026
Comparative analysis of the diagnostic value of dynamic contrast-enhanced magnetic resonance imaging kinetic heterogeneity and apparent diffusion coefficient for grading invasive breast cancer.
Article in Diagnostic and interventional radiology (Ankara, Turkey), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeTo quantitatively compare the diagnostic value of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) kinetic heterogeneity and conventional diffusion-weighted imaging (DWI) for the extent of breast cancer infiltration.
methodsThis study employed a retrospective analysis of DCE-MRI data of patients with invasive breast cancer (IBC) diagnosed by pathology in our hospital between January 2023 and February 2025. The aim was to obtain quantitative measures of kinetic heterogeneity and apparent diffusion coefficients (ADCs) from DWI, and to extract the six main parameters for lesion heterogeneity analysis from preoperative MRI data using MATLAB, SPM12, and R 4.4.1. The parameters included peak, enhancement volume, persistent fraction, plateau, washout, and heterogeneity. The diagnostic efficacy of DCE-MRI, conventional DWI, and their combination on the extent of IBC infiltration was compared by analyzing the receiver operating characteristic curves, sensitivities, specificities, and correlations among the parameters.
resultsThe high-grade group exhibited significantly higher peak, plateau, washout, and heterogeneity values, along with lower persistent and ADC values, compared with the low-grade group (all
conclusionDCE-MRI combined with DWI has significant diagnostic value in identifying the extent of IBC infiltration. CLINICAL SIGNIFICANCE: DCE-MRI kinetic heterogeneity combined with DWI enables noninvasive discrimination of the extent of IBC infiltration before surgery, facilitating personalized systemic therapy and nodal evaluation while avoiding overtreatment in patients at low risk. Computer-aided, whole-tumor heterogeneity analysis replaces limited region-of-interest sampling, significantly improving both efficiency and accuracy of IBC grading. Integration of kinetic heterogeneity plus diffusion parameters provides a panoramic view of tumor size, location, and perilesional relationships, empowering multi-disciplinary teams to rapidly individualize surgical and adjuvant treatment strategies.
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