Abstract #2267

Deep learning reconstruction of zero echo time imaging: bone erosion detection in axial spondyloarthritis

Seok Hahn¹, Jisook Yi², Ho-Joon Lee², Sunggun Lee³, Sekyoung Park⁴, Joonsung Lee⁵, Jose de Arcos⁶, and Maggie Fung⁷

¹Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea, Republic of, ²Department of Radiology, IHaeundae Paik Hospital, Inje University College of Medicine, Busan, Korea, Republic of, ³Division of Rheumatology, Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea, Republic of, ⁴Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea, Republic of, ⁵GE Healthcare, Seoul, Korea, Republic of, ⁶GE Healthcare, Little Chalfont, United Kingdom, ⁷GE Healthcare, New York, NJ, United States

Synopsis

Keywords: Joints, MSK, sacroiliac joint, zero echo time imaging, deep learning reconstructionThe aim of this study was to compare the diagnostic performance of DLR of ZTE imaging for bone erosion in axial spondyloarthritis, using CT as the reference standard. Twenty-three patients with suspicion of sacroiliitis underwent both CT and MR scans of sacroiliac joints included for analysis. ZTE with or with DLR showed higher correlation coefficients than T1WI for two readers. Inter-reader agreements showed moderate to substantial agreement. ZTE DLR improves diagnostic performance in the detection of SIJ bone erosion in patients with axial spondyloarthritis compared with T1WI and ZTE without DLR.

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