18Fluorine-sodium fluoride positron emission tomography to evaluate arterial calcification in patients with chronic kidney disease: a pilot study
Year: 2025
Type: article
Abstract: 18 Fluorine-Sodium Fluoride Positron Emission Tomography ( 18 F-NaF PET) allows for the detection of arterial micro-calcification, but its data on people with chronic kidney disease (CKD) is limited. This pilot study aimed to determine the optimal time to perform 18 F-NaF PET static scan and to characterize arterial macro- and micro-calcification in CKD. In 7 patients with CKD stages 3b-4 and 3 non-CKD individuals, following the injection of 18 F-NaF, an electrocardiogram-gated chest CT, a 30-min dynamic PET, and three 10-min static PET were acquired. Radiopharmaceutical uptake was quantified for regions including the lumbar spine and 4 aortic segments. Arterial macro-calcification was quantified using Agatston scoring and micro-calcification using tissue-to-background ratio (TBR; reference: right atrium). The standardized uptake value (SUV) in lumbar spine reached a steady state ~ 60 min after injection and was comparable at each time point between CKD and non-CKD (p: 0.58–0.92). Among CKD participants, 6 had macro-calcification in coronary arteries. Abdominal aorta had the greatest macro-calcification, and ascending aorta had the lowest TBR peak . In the ascending aorta, macro-calcification negatively correlated with TBR peak (rho = − 0.86, p = 0.01). In descending thoracic aorta, TBR peak negatively correlated with serum calcium (rho = − 0.81, p = 0.03), and positively correlated with parathyroid hormone (rho = 0.93, p = 0.003) and thrombomodulin (rho = 0.79, p = 0.04). The optimal time for 18 F-NaF PET static scan is ~ 60 min for people with and without CKD. Evaluation of macro- and micro-calcification in aorta revealed preliminary spatial patterns and their associated serum markers. Our findings help to establish technical specifications for image acquisition and analyses of 18 F-NaF PET/CT in CKD.
Authors: Aspan M. Shokrekhuda, Rylen Stratford, Wenzhu Mowrey, Na Song, Kexin Zhang, Sara Saini, Mario T. Di Dea, Gabriel Duah, Zahra Karimi, Nicholas E. S. Sibinga, Yonatan Schwartz, Jeffrey M. Levsky, Marc R. Dweck, Renee Moadel, Lionel S. Zuckier, Mark I. Travin, Wei Chen
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,390
Awards: G1557182087, G258448198
OpenAlex ID: W4416235273
