Data-driven identification and semi-automated quantification of molecular targets for tumour-imaging of colorectal liver metastases and primary colorectal tumours
Using a novel data-driven approach, six potential imaging targets were successfully identified and validated. CEACAM5 and CEACAM6 emerged as strong targets that, regardless of neoadjuvant therapy, covered nearly the entire CRLM population-supporting their further probe development and clinical translation.
Authors
- Alexander L. Vahrmeijer (ORCID: https://orcid.org/0000-0001-9370-0011)
- Okker D. Bijlstra (ORCID: https://orcid.org/0000-0001-9069-500X)
- Ronald van Vlierberghe
- Nada Badr (ORCID: https://orcid.org/0009-0006-7540-1476)
- Mats I. Warmerdam (ORCID: https://orcid.org/0000-0002-4546-5966)
- Peter J. K. Kuppen
- A. Stijn L. P. Crobach
- Nidal Amenchar
- J. Sven D. Mieog
- Feline Hutten
Institutions
- Leiden University Medical Center (NL)
Publication Details
- Journal
- EJNMMI Research
- Published
- 2025-12-25
- DOI
- https://doi.org/10.1186/s13550-025-01354-z
- Primary Topic
- Radiopharmaceutical Chemistry and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00