The SPECT/CT radiomics-based classification of skeletal metastases and benign bone lesions
alone. SPECT radiomics demonstrated strong standalone potential, while integration with CT radiomics further enhanced performance. These findings support radiomics as a complementary tool for more accurate and individualized lesion classification in nuclear medicine.
Authors
- So Eun Choi
- Ji-Young Kim (ORCID: https://orcid.org/0000-0002-3226-2991)
- Hai‐Jeon Yoon (ORCID: https://orcid.org/0000-0001-8752-6280)
- So Hyun Ahn (ORCID: https://orcid.org/0000-0002-0116-3325)
Institutions
- Ewha Womans University (KR)
- Dongwha Pharm (South Korea) (KR)
- Ewha Womans University Medical Center (KR)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-04-17
- DOI
- https://doi.org/10.1038/s41598-026-45978-0
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea