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Cancers (Basel)2025;17(23)December 4, 2025Journal Article

Enhancing PRRT Outcome Prediction in Neuroendocrine Tumors: Aggregated Multi-Lesion PET Radiomics Incorporating Inter-Tumor Heterogeneity.

Maziar Sabouri1,2, Ghasem Hajianfar3, Omid Gharibi1,2, Alireza Rafiei Sardouei4, Yusuf Menda5, Ayca Dundar5, Camila Gadens Zamboni5, Sanchay Jain5, Marc Kruzer6, Habib Zaidi3, Fereshteh Yousefirizi2, Arman Rahmim1,2,7, Ahmad Shariftabrizi5
1Department of Physics and Astronomy, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
2Department of Basic and Translational Research, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
3Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, 1205 Geneva, Switzerland.
4Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
5Division of Nuclear Medicine, Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
6MIM Software Inc., Cleveland, OH 44122, USA.
7Department of Radiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
PubMed PMC DOI PDF

Abstract

INTRODUCTION: Peptide Receptor Radionuclide Therapy (PRRT) with [177Lu]Lu-DOTA-TATE is effective in treating advanced Neuroendocrine Tumors (NETs), yet predicting individual response in this treatment remains a challenge due to inter-lesion heterogeneity. There is a lack of standardized, effective methods for using multi-lesion radiomics to predict progression and Time to Progression (TTP) in PRRT…

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