ArticleAmerican journal of translational research2025
Performance of low- and high-temporal-resolution DCE-MRI texture analysis in distinguishing breast lesions from background enhancement.
Article in American journal of translational research, 2025. 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
objectivesTo investigate the diagnostic potential of texture-based analysis of dynamic contrast-enhanced MRI (DCE-MRI) for breast lesions and background enhancement (BE).
methodsThis retrospective study analyzed 62 patients who underwent preoperative high-temporal resolution DCE-MRI (1+26 phases), including 39 malignant and 23 benign lesions. A control group of 78 patients received preoperative low-temporal resolution DCE-MRI (1+5 phases), comprising 46 malignant and 32 benign lesions. All patients also underwent conventional T1WI, T2WI MRI scans, and DCE-MRI. Quantitative parameters were obtained using a two-compartment Extended Tofts model, calculating pharmacokinetic parameters: volume transfer constant (K
resultsPharmacokinetic parameters significantly differed between high-temporal resolution and low-temporal resolution DCE-MRI (P < 0.05). In the malignant group, the average K
conclusionsTexture analysis based on high-temporal resolution DCE-MRI may potentially improve breast cancer diagnostic performance. Specifically, combining the lesion, BE area, and K
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