Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
662-04-009 ISMRM Abstract

Super-Resolution Deep Learning Reconstruction Improves Assessment of Myometrial Invasion in Endometrial Cancer

Primary: Body - Uterus
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
662-04-009 · Artificial Intelligence-Based Image Reconstruction in the Body · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row C
Keywords: Deep learning reconstruction Endometrial Cancer Magnetic Resonance Imaging (MRI) Diagnostic performance Super-Resolution Deep Learning Reconstruction
Accepted
Takumi Tanigaki1, Atsushi Nakamoto 2,3, Hideyuki Fukui1, Takashi Ota1, Toru Honda1, Kengo Kiso1, Eriko Yoshidome1, Masatoshi Hori4, noriyuki tomiyama1
1Department of Diagnostic and Interventional Radiology, The University of Osaka Graduate School of Medicine, Suita, Japan
2The University of Osaka Graduate School of Medicine, Suita, Japan
3Department of Future Diagnostic Radiology, The University of Osaka Graduate School of Medicine, Suita, Japan
4Department of Artificial Intelligence in Diagnostic Radiology, The University of Osaka Graduate School of Medicine, Suita, Japan
Presenting Author: Atsushi Nakamoto

Synopsis

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References

1. Ota T, Tsuboyama T, Onishi H, et al. Diagnostic accuracy of MRI for evaluating myometrial invasion in endometrial cancer: a comparison of MUSE-DWI, rFOV-DWI, and DCE-MRI. Radiol Med. 2023;128(6):629-643. doi: 10.1007/s11547-024-01928-2 [doi]
2. Herrmann J, Koerzdoerfer G, Nickel D, et al. Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging. Diagnostics (Basel). 2021;11(8):1484. doi: 10.3390/diagnostics11081484 [doi]
3. Matsumoto S, Tsuboyama T, Onishi H, et al. Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction: Assessment of Image Quality and Diagnostic Performance. Invest Radiol. 2024;59(7):479-488. doi: 10.1097/RLI.0000000000001047 [doi]
4. Gassenmaier S, Afat S, Nickel MD, et al. Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE Imaging. Cancers (Basel). 2021;13(14):3593. doi: 10.3390/cancers13143593 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/662-04-009