Abstract #0096

Deep Learning Synthesized Hepatobiliary Phase Images for Optimizing Clinical Workflow of Gd-EOB-DTPA-enhanced Liver MRI: A Multicenter Study

Kaixuan Zhao¹, Yan Liu², Yajing Zhang³, Yongzhou Xu⁴, Yiming Wang⁵, Jie Qin⁶, Feng Yang⁷, Jianping Liu⁸, Thoralf Niendorf⁹, Zaiyi Liu¹⁰, and Guangyi Wang¹⁰

¹Guangdong Provincial People‘s Hospital, Guangzhou, China, ²Medical Imaging Center, Nanfang Hospital, Guangzhou, China, ³GE Healthcare, Beijing, China, Beijing, China, ⁴Philips Healthcare Guangzhou Ltd, Guangzhou, China, ⁵Bayer, Guangzhou, China, Guangzhou, China, ⁶Department of Radiology, Third Affiliated Hospital of Sun Yat-sen Hospital, Guangzhou, China, ⁷Department of Radiology, Xiangyang No.1 People’s Hospital, Xiangyang, China, ⁸Department of Radiology, The First People’s Hospital of Foshan, Foshan, China, ⁹Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, ¹⁰Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China

Synopsis

Keywords: Liver, AI/ML Image Reconstruction

Motivation: Our previous feasibility study showed potential of deep learning synthesized hepatobiliary phase for clinical workflow optimization. Comprehensive clinical evaluation of our preliminary findings is warranted.

Goal(s): To investigate the impact of synHBP on clinical diagnosis and identification of optimized sequence combinations for model inputs

Approach: Conditional generative adversarial network models trained using four sequence combinations obtained from 2049 examinations and evaluated on internal and external datasets.

Results: SynHBP achieved similar differential diagnosis accuracy as acquired hepatobiliary(P>0.05). Integrating early HBP images(5 minutes) as input achieved the best results evaluated by SSIM(0.88±0.06 and 0.82±0.08), PSNR(30.65±2.81 and 28.04±3.80), lesion-parenchyma-contrast-consistency(ICC=0.91 and 0.86) for internal and external datasets, respectively.

Impact: Our study demonstrated the importance of an early HBP scan of 5 minutes for high-quality HBP synthesis. Our findings help to shorten examination times and support the optimization of scanning protocols of Gd-EOB-DTPA-enhanced liver MRI.

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