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  • 1.
    Regula, Naresh Kumar
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Lubberink, Mark
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Jorulf, Håkan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Ladjevardi, Sam
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Urology. Uppsala Univ, Urol, Uppsala, Sweden..
    Häggman, Michael
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Urology.
    Sörensen, Jens
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Physiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Dynamic Imaging of Prostate Cancer with 11C-acetate PET/CT2017In: Journal of Nuclear Medicine, ISSN 0161-5505, E-ISSN 1535-5667, Vol. 58, no S1, article id 662Article in journal (Other academic)
    Abstract [en]

    Objectives: Dynamic 11C-acetate PET/CT can be used to study tissue perfusion and carbon flux simultaneously, but studies in cancer are limited. We investigated the kinetics of 11C-acetate in prostate cancer subjects using parametric images with an image-derived input function (IDIF).

    Methods: Twenty-one patients with newly diagnosed low-moderate risk prostate cancer were studied. All underwent pelvic MRI. Dynamic 11C-acetate (5 MBq/kg) PET/CT of the pelvis was acquired for 32 minutes with 32 time frames. An IDIF was acquired from iliac vessels with multiple small regions of interest (ROIs) and a standardized metabolite correction. Parametric images of K1 (extraction), k2 (oxidative metabolism) and Vd (=K1/k2, anabolic metabolism defined as carbon retention) were constructed using a one-tissue compartment model. ROIs of the largest cancer region in each patient and normal prostate tissue were drawn using information from MRI (T2 and DWI images) and from post-surgical histopathology of whole prostate sections (n=7).

    Results: Mean PSA was 8.3±3.9. Median Gleason Sum was 6 (range 5-7). K1, Vd and SUVs were higher in cancerous regions compared to normal prostate for all patients (p<0.001). PSA correlated to early SUV (r=0.50, p=0.02) and K1 (r=0.48, p=0.03). Early and late SUVs were correlated to Vd (r>0.76, p<0.001) and K1 (r>0.61, p<0.005).

    Conclusion: Parametric images could be used to visualize the 11C-acetate kinetics of the prostate. In this cohort of relatively low-risk cancers, PSA values were related to cancer perfusion. SUV of cancerous regions at any time point is primarily associated with anabolic metabolism. Research Support: Swedish Cancer Foundation (Cancerfonden)

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