Unknown

Dataset Information

0

Optimization and Reproducibility of Aortic Valve 18F-Fluoride Positron Emission Tomography in Patients With Aortic Stenosis.


ABSTRACT: 18F-Fluoride positron emission tomography (PET) and computed tomography (CT) can measure disease activity and progression in aortic stenosis. Our objectives were to optimize the methodology, analysis, and scan-rescan reproducibility of aortic valve 18F-fluoride PET-CT imaging. Fifteen patients with aortic stenosis underwent repeated 18F-fluoride PET-CT. We compared nongated PET and noncontrast CT, with a modified approach that incorporated contrast CT and ECG-gated PET. We explored a range of image analysis techniques, including estimation of blood-pool activity at differing vascular sites and a most diseased segment approach. Contrast-enhanced ECG-gated PET-CT permitted localization of 18F-fluoride uptake to individual valve leaflets. Uptake was most commonly observed at sites of maximal mechanical stress: the leaflet tips and the commissures. Scan-rescan reproducibility was markedly improved using enhanced analysis techniques leading to a reduction in percentage error from ±63% to ±10% (tissue to background ratio MDS mean of 1.55, bias -0.05, limits of agreement -0·20 to +0·11). Optimized 18F-fluoride PET-CT allows reproducible localization of calcification activity to different regions of the aortic valve leaflet and commonly to areas of increased mechanical stress. This technique holds major promise in improving our understanding of the pathophysiology of aortic stenosis and as a biomarker end point in clinical trials of novel therapies. URL: http://www.clinicaltrials.gov. Unique identifier: NCT02132026.

SUBMITTER: Pawade TA 

PROVIDER: S-EPMC5068186 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC9319069 | biostudies-literature
| S-EPMC7063623 | biostudies-literature
| S-EPMC5946171 | biostudies-literature
2011-11-01 | GSE21217 | GEO
2011-11-01 | E-GEOD-21217 | biostudies-arrayexpress
2020-03-18 | GSE131769 | GEO
2015-02-09 | E-MTAB-3175 | biostudies-arrayexpress
2020-03-18 | GSE135565 | GEO
| S-EPMC6660502 | biostudies-literature
| S-EPMC6324180 | biostudies-literature