Quantitative CT analysis for predicting the PD-L1 expression in lung adenocarcinoma
High PD-L1 expression rates may be associated with higher rates of solid components in lung adenocarcinoma.
Authors
- Masahiro Tanabe (ORCID: https://orcid.org/0000-0002-0302-4257)
- Taiga Kobayashi (ORCID: https://orcid.org/0000-0002-0981-1614)
- Yoshinobu Hoshii (ORCID: https://orcid.org/0000-0003-0192-7791)
- Katsuyoshi Ito (ORCID: https://orcid.org/0000-0002-1483-0369)
- Fumi Kameda (ORCID: https://orcid.org/0000-0003-4142-5438)
- Yoshie Kunihiro (ORCID: https://orcid.org/0000-0002-5730-211X)
- Toshiki Tanaka (ORCID: https://orcid.org/0000-0002-1183-3636)
- Masaya Tanabe
- Masatoshi Nakashima
Institutions
- Yamaguchi University (JP)
- National Institute of Technology, Ube College (JP)
- Shimonoseki City Hospital (JP)
- Yamaguchi University Hospital (JP)
- Ube (Japan) (JP)
Publication Details
- Journal
- Japanese Journal of Radiology
- Published
- 2025-08-26
- DOI
- https://doi.org/10.1007/s11604-025-01857-8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00