Assessment of deep learning reconstruction effects on detection and differentiation of liver metastasis from hepatic hemangioma in diffusion-weighted imaging
DL-DWI enhanced both qualitative and quantitative aspects of image quality in abdominal DWI. However, its diagnostic performance, including ADC cutoff values for differentiating between metastases and hemangiomas, is comparable to that of CS-DWI.
Authors
- Yasutomo Katsumata
- Shota Ishida (ORCID: https://orcid.org/0000-0002-0728-8057)
- Satoshi Goshima
- Hideomi Hasegawa
- Masami Yoneyama
- Yukichi Tanahashi (ORCID: https://orcid.org/0000-0003-1602-9396)
- Kumi Ozaki (ORCID: https://orcid.org/0000-0002-1454-7512)
- Jihun Kwon (ORCID: https://orcid.org/0000-0003-1810-0205)
Institutions
- Hamamatsu University School of Medicine (JP)
- Kyoto College of Medical Science (JP)
Publication Details
- Journal
- Japanese Journal of Radiology
- Published
- 2025-11-06
- DOI
- https://doi.org/10.1007/s11604-025-01904-4
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00