Individualized Prognostication Based on Deep‐Learning Models Using Computed Tomography as an Imaging Biomarker After Hepatocellular Carcinoma Resection
Our DL models using CT as an imaging biomarker are useful for individualized prognostication and may help optimize treatment planning for patients with HCC.
Authors
- Chihoko Nobori (ORCID: https://orcid.org/0009-0001-7654-0279)
- Hisashi Ikoma (ORCID: https://orcid.org/0000-0002-2647-6854)
- Satoshi Yasuda (ORCID: https://orcid.org/0000-0003-4323-7422)
- Hiroji Shinkawa (ORCID: https://orcid.org/0000-0002-0164-2414)
- S Kurimoto
- Masaki Kaibori (ORCID: https://orcid.org/0000-0002-0577-3921)
- Ryo Morimura
- Hisashi Kosaka (ORCID: https://orcid.org/0000-0002-2926-9973)
- Tsukasa Aihara (ORCID: https://orcid.org/0000-0003-1463-0073)
- Masaki Ueno (ORCID: https://orcid.org/0000-0001-6310-0795)
- Masahiko Kinoshita (ORCID: https://orcid.org/0000-0002-6716-6377)
- Takeaki Ishizawa (ORCID: https://orcid.org/0000-0002-9534-6973)
- Daiju Ueda (ORCID: https://orcid.org/0000-0002-3878-3616)
- Takayoshi Nakajima (ORCID: https://orcid.org/0000-0001-7330-8645)
- Shinya Hayami (ORCID: https://orcid.org/0000-0002-4177-6281)
- Takuya Nakai
- Yasuko Matsuo
Institutions
- Kansai Medical University (JP)
- Wakayama Medical University (JP)
- Osaka City University (JP)
- Kyoto Prefectural University of Medicine (JP)
- Miwa Hospital (JP)
- Osaka Health Science University (JP)
- Osaka Metropolitan University (JP)
- Nara Medical University (JP)
- Tokyo Metropolitan University (JP)
- Kindai University (JP)
Publication Details
- Journal
- Hepatology Research
- Published
- 2025-10-11
- DOI
- https://doi.org/10.1111/hepr.70055
- Citations
- 1
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.32