Abstract #5086

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

Tianwen Xie^1,2, Qiufeng Zhao³, Caixia Fu⁴, Grimm Robert⁵, Marcel Dominik Nickel⁵, Weijun Peng^1,2, and Yajia Gu^1,2

¹Radiology, Fudan University Shanghai Cancer Center, Shanghai, China, ²Oncology, Shanghai Medical College, Fudan University, Shanghai, China, ³Radiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China, ⁴MR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, ⁵MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany

Synopsis

Keywords: Breast, Breast, Cancer

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.

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