FDG PET/CT in vascular graft infection: a pictorial review
Manar Badarna1, Zohar Keidar2,3, Elite Arnon-Sheleg4,5
1Department of Nuclear Medicine, Rambam HealthCare Campus, Haifa, Israel - manar.badarnah@gmail.com.
Abstract:
Vascular graft infections (VGI) are rare but severe complications following vascular surgery, with significant morbidity and mortality. Diagnosing VGI requires a multidisciplinary approach combining clinical, laboratory, and imaging findings. While CTA remains the first-line imaging modality, its limitations in detecting chronic or low-grade infections highlight the value of advanced nuclear medicine techniques, particularly [18F]FDG PET/CT. In this review, we discuss the role of [18F]FDG PET/CT in diagnosing VGI, emphasizing its high sensitivity and negative predictive value, which are critical for ruling out infection. Nevertheless, there are currently no universally accepted criteria for analyzing PET/CT findings in VGI, which poses challenges for consistent interpretation and clinical decision-making. This review aims to provide a comprehensive understanding of FDG PET/CT imaging in the context of VGI by exploring visual grading scales, uptake patterns, and semi-quantitative parameters while highlighting potential pitfalls such as post-surgical inflammation and false-positive results due to graft materials or surgical adhesives. Through a series of illustrative cases, we outline characteristic imaging patterns of infected and non-infected grafts, offering practical guidance for accurate interpretation. Additionally, we discuss the evolving role of FDG PET/CT in assessing treatment response and guiding follow-up in VGI management. This pictorial review seeks to enhance diagnostic accuracy and bridge the gap in standardized PET/CT interpretation criteria, ultimately contributing to improved patient care.
![Quantification of Atherosclerotic Plaque Activity and Vascular Inflammation using [18-F] Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography FDG-PET/CT](/_next/image?url=https%3A%2F%2Fcloudfront.jove.com%2FCDNSource%2Fteasers%2F3777.jpg&w=3840&q=50)

