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Abstract #4826

The application of REACT based on CS-AI for abdominal vessel imaging in kidney-pancreas transplantation and diabetic nephropathy patients

Hongbin Wang1, Wenyun Liu1, Lei Zhang1, Zhuo Wang1, Ying Qiu1, Yuejiao Sun1, Dandan Guo1, and Yi Zhu2
1Department of Radiology, the First Hosipital of Jilin University, Changchun, China, 2Philips Healthcare, Beijing, China

Synopsis

Keywords: Vessels, Image Reconstruction, REACTPatients with diabetic nephropathy and terminal renal insufficiency and those requiring combined kidney-pancreas transplantation should avoid using gadolinium-based contrast agents MR Angiography due to its potential nephrotoxicity. Compressed SENSE (CS) Artificial Intelligence (CS-AI) reconstructed Relaxation-Enhanced Angiography without Contrast and Triggering (REACT) sequence provides a simultaneous depiction of abdominal arterial and venous vessels. This study aims to improve the image quality of REACT sequence with CS-AI and further quantitatively evaluate the image quality in patients with diabetic nephropathy, and CS-AI reconstructed REACT sequence was first applied to image transplanted renal arteries in patients with combined kidney-pancreas transplantation.

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