Effects of data-driven respiratory gating on visualization and quantification of breast and upper abdominal cancers in FDG PET/CT examinations
This study demonstrated that DDG improved visualization and quantification of breast and upper abdominal cancers in FDG PET/CT examinations. DDG PET images exhibited an increase in SUVmax, a decrease in MTV, and changes in TFs.
Authors
- Risa Momoi
- Noriyuki Tomiyama (ORCID: https://orcid.org/0000-0001-9918-7327)
- Kayako Isohashi (ORCID: https://orcid.org/0000-0002-2081-3020)
- Naomi Morita
- Mitsuaki Tatsumi (ORCID: https://orcid.org/0000-0003-1778-0421)
- Akira Kida
- Atsuya Okada
Institutions
- Osaka Hospital (JP)
- Osaka University Hospital (JP)
- The University of Osaka (JP)
Publication Details
- Journal
- Annals of Nuclear Medicine
- Published
- 2025-01-23
- DOI
- https://doi.org/10.1007/s12149-025-02017-8
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Osaka University