Comparative Quantitative Analysis in Ultrafast DCE Breast MRI: Population-Based Versus Individual Arterial Input Functions

Motivation: CAIPIRINHA-Dixon-TWIST-VIBE (CDTV) ultrafast dynamic contrast-enhanced MRI helps in characterizing breast cancer. Goal(s): However, no study has compared the accuracies of quantitative analysis using population-based arterial input function (P-AIF) and individual AIF (I-AIF) for diagnosing breast cancer. Approach: This study aimed to evaluate and compare the diagnostic accuracies of the inline quantitative analysis with P-AIF and I-AIF in diagnosing breast cancer. Results: It demonstrated a similarity in the quantitative analysis using P-AIF from CDTV and I-AIF in characterizing breast lesions. Impact: This study transforms breast cancer diagnosis by validating P-AIF's efficiency in CDTV MRI, offering prospects for streamlined, faster clinical application. It encourages exploration into broader adaptations, aiming to provide the accurate diagnosis and prognosis through expedited, accessible testing methodologies.