Dynamic rubidium-82 PET/CT as a novel tool for quantifying hemodynamic differences in renal blood flow using a one-tissue compartment model.

Autor: van de Burgt A; Department of Nuclear Medicine, Alrijne hospital, Leiderdorp, The Netherlands.; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands., van Velden FHP; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands., Kwakkenbos K; Department of Nuclear Medicine, Alrijne hospital, Leiderdorp, The Netherlands.; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands., Smit F; Department of Nuclear Medicine, Alrijne hospital, Leiderdorp, The Netherlands.; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands., de Geus-Oei LF; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.; Biomedical Photonic Imaging Group, University of Twente, Enschede, The Netherlands.; Department of Radiation Science & Technology, Delft University of Technology, Delft, The Netherlands., Dekkers IA; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Jazyk: angličtina
Zdroj: Medical physics [Med Phys] 2024 Jun; Vol. 51 (6), pp. 4069-4080. Date of Electronic Publication: 2024 May 06.
DOI: 10.1002/mp.17080
Abstrakt: Purpose: Assessing renal perfusion in-vivo is challenging and quantitative information regarding renal hemodynamics is hardly incorporated in medical decision-making while abnormal renal hemodynamics might play a crucial role in the onset and progression of renal disease. Combining physiological stimuli with rubidium-82 positron emission tomography/computed tomography ( 82 Rb PET/CT) offers opportunities to test the kidney perfusion under various conditions. The aim of this study is: (1) to investigate the application of a one-tissue compartment model for measuring renal hemodynamics with dynamic 82 Rb PET/CT imaging, and (2) to evaluate whether dynamic PET/CT is sensitive to detect differences in renal hemodynamics in stress conditions compared to resting state.
Methods: A one-tissue compartment model for the kidney was applied to cardiac 82 Rb PET/CT scans that were obtained for ischemia detection as part of clinical care. Retrospective data, collected from 17 patients undergoing dynamic myocardial 82 Rb PET/CT imaging in rest, were used to evaluate various CT-based volumes of interest (VOIs) of the kidney. Subsequently, retrospective data, collected from 10 patients (five impaired kidney functions and five controls) undergoing dynamic myocardial 82 Rb PET/CT imaging, were used to evaluate image-derived input functions (IDIFs), PET-based VOIs of the kidney, extraction fractions, and whether dynamic 82 Rb PET/CT can measure renal hemodynamics differences using the renal blood flow (RBF) values in rest and after exposure to adenosine pharmacological stress.
Results: The delivery rate (K 1 ) values showed no significant (p = 0.14) difference between the mean standard deviation (SD) K 1 values using one CT-based VOI and the use of two, three, and four CT-based VOIs, respectively 2.01(0.32), 1.90(0.40), 1.93(0.39), and 1.94(0.40) mL/min/mL. The ratio between RBF in rest and RBF in pharmacological stress for the controls were overall significantly lower compared to the impaired kidney function group for both PET-based delineation methods (region growing and iso-contouring), with the smallest median interquartile range (IQR) of 0.40(0.28-0.66) and 0.96(0.62-1.15), respectively (p < 0.05). The K 1 of the impaired kidney function group were close to 1.0 mL/min/mL.
Conclusions: This study demonstrated that obtaining renal K 1 and RBF values using 82 Rb PET/CT was feasible using a one-tissue compartment model. Applying iso-contouring as the PET-based VOI of the kidney and using AA as an IDIF is suggested for consideration in further studies. Dynamic 82 Rb PET/CT imaging showed significant differences in renal hemodynamics in rest compared to when exposed to adenosine. This indicates that dynamic 82 Rb PET/CT has potential to detect differences in renal hemodynamics in stress conditions compared to the resting state, and might be useful as a novel diagnostic tool for assessing renal perfusion.
(© 2024 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.)
Databáze: MEDLINE
Externí odkaz: