Quantitative metrics improve diagnostic accuracy for benign and malignant breast lesions, indicating their critical role in imaging assessments.
RATIONALE AND OBJECTIVES: This study aimed to evaluate the diagnostic performance of quantitative and semiquantitative parameters obtained from ultrafast DCE-MRI in differentiating benign and malignant breast lesions, and to compare these parameters with morphological MRI findings and ADC values. MATERIALS AND RESULTS: retained significance. Quantitative parameters achieved the highest diagnostic accuracy (AUC 0.953), followed by morphological features (0.936) and ADC (0.913). TTP showed strong but slightly lower performance (0.855). CONCLUSION: Quantitative parameters demonstrated superior diagnostic performance in distinguishing benign from malignant breast lesions compared with ADC, semiquantitative parameters, and morphological features.
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Akin et al. (2026) studied this question.
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