Enhancing PRRT Outcome Prediction in Neuroendocrine Tumors: Aggregated Multi-Lesion PET Radiomics Incorporating Inter-Tumor Heterogeneity
This study demonstrates that informed lesion selection and tailored aggregation strategies significantly impact the predictive performance of radiomics-based models for progression and TTP prediction in PRRT-treated NET patients. These approaches can potentially enhance model accuracy and better capture tumor heterogeneity, supporting more personalized and practical PRRT implementation.
Authors
- Ahmad Shariftabrizi (ORCID: https://orcid.org/0000-0003-2397-6914)
- Habib Zaidi (ORCID: https://orcid.org/0000-0001-7559-5297)
- Arman Rahmim (ORCID: https://orcid.org/0000-0002-9980-2403)
- Sanchay Jain (ORCID: https://orcid.org/0000-0002-6598-8035)
- Yusuf Menda (ORCID: https://orcid.org/0000-0001-7551-2789)
- Ayca Dundar (ORCID: https://orcid.org/0000-0002-3128-6801)
- Ghasem Hajianfar (ORCID: https://orcid.org/0000-0001-5359-2407)
- Omid Gharibi (ORCID: https://orcid.org/0000-0003-3403-9168)
- Fereshteh Yousefirizi (ORCID: https://orcid.org/0000-0001-5261-6163)
- Camila Gadens Zamboni (ORCID: https://orcid.org/0000-0002-2365-7908)
- Maziar Sabouri (ORCID: https://orcid.org/0000-0001-7525-8952)
- Marc Kruzer
- Alireza Rafiei Sardouei
Institutions
- University of Iowa (US)
- University of British Columbia (CA)
- Spinal Cord Injury BC (CA)
- University Hospital of Geneva (CH)
Publication Details
- Journal
- Cancers
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3390/cancers17233887
- Primary Topic
- Neuroendocrine Tumor Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 0.00