首页 | 本学科首页   官方微博 | 高级检索  
检索        


Assessment of aortitis by semiquantitative analysis of 180-min 18F-FDG PET/CT acquisition images
Authors:Isabel Martínez-Rodríguez  N Martínez-Amador  I Banzo  R Quirce  J Jiménez-Bonilla  M De Arcocha-Torres  S Ibáñez-Bravo  C Lavado-Pérez  Z Bravo-Ferrer  R Blanco  M A González-Gay  J M Carril
Institution:1. Department of Nuclear Medicine, Marqués de Valdecilla University Hospital, University of Cantabria, Santander, Spain
3. S. Medicina Nuclear, Hospital Universitario Marqués de Valdecilla, Avda. Valdecilla, s/n, 39008, Santander, Spain
2. Department of Rheumatology, Marqués de Valdecilla University Hospital, University of Cantabria, Santander, Spain
Abstract:

Purpose

The aim of this study was to evaluate the contribution of semiquantitative analysis of 180-min 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT images for the assessment of aortitis in cases of suspected large vessel vasculitis (LVV) and to establish a threshold index for application in the clinical setting.

Methods

This prospective study included 43 patients (mean age 67.5?±?12.9?years) with suspicion of LVV (25 with a final diagnosis of aortitis). 18F-FDG PET/CT scan was acquired 180 min after injection of 7 MBq/kg of 18F-FDG. A semiquantitative analysis was performed calculating the aortic wall maximum standardized uptake value (SUVmax) (T), the lumen SUVmax (B) and the target to background ratio (TBR). These results were also compared with those obtained in a control population.

Results

The mean aortic wall SUVmax was 2.00?±?0.62 for patients with aortitis and 1.45?±?0.31 for patients without aortitis (p?p?max (0.997 vs 0.871). The highest sensitivity and specificity was obtained for a TBR of 1.34 (sensitivity 100 %, specificity 94.4 %).

Conclusion

Semiquantitative analysis of PET/CT images acquired 180 min after 18F-FDG injection and the TBR index of 1.34 show very high accuracy and, therefore, are strongly recommended for the diagnosis of aortitis in the clinical setting.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号