Abstract Purpose: Tumour perfusion is nutrient-agnostic biomarker for cancer metabolic rate. Use of tumour perfusion for cancer growth assessment has been limited by complicated image acquisition, image analysis and limited field-of-view scanners. Long axial field-of-view (LAFOV) PET scan using [¹⁵O]H₂O, allows quantitative assessment of whole-body tumour perfusion. We created a tool for automated creation of quantitative parametric whole-body tumour perfusion images in metastatic cancer. Methods: Ten metastatic prostate cancer patients underwent dynamic LAFOV [¹⁵O]H₂O PET (Siemens, Quadra) followed by [¹⁸F]PSMA-1007 PET. Perfusion was measured as [¹⁵O]H₂O K₁ (mL/min/mL) with a single-tissue compartment model and an automatically captured cardiac image-derived input function. Parametric perfusion images were calculated using the basis-function method with initial voxel-wise delay estimation and a leading-edge approach. Results: For 8 primary tumours, 64 lymph node metastases, and 85 bone metastases, median tumour perfusion were 0.19 (0.15–0.27) mL/min/mL, 0.16 (0.13–0.27) mL/min/mL, and 0.26 (0.21–0.39), respectively. The correlation between calculated perfusion from time-activity-curves and parametric images was excellent (r = 0.99, p < 0.0001). Conclusion: LAFOV PET imaging using [¹⁵O]H₂O allows creation of truly quantitative parametric images of whole-body tumour perfusion, a potential biomarker for guiding personalized treatment and monitoring treatment response.
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Jochumsen et al. (2024) studied this question.
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