An exploration of the prognostic utility of shortened dynamic imaging protocols for PET-FDG scans
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Date
2019-11
Authors
Wu, Qi
O'Sullivan, Finbarr
Muzi, Mark
Mankoff, David
Journal Title
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Publisher
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
Standard whole-body clinical fluoro-deoxyglucose (FDG)-PET scans typically involve imaging for around 15 minutes about 60 minutes after tracer injection. The scan duration is often the critical constraint limiting patient through-put. Scans taken long after tracer injection restrict the ability to assess vascular and perfusion information that might be revealed by the early pattern of tracer uptake. On the other hand, early scanning may compromise the recovery of the late time uptake (SUV) which in many contexts has well established prognostic value. In this study, we explore the potential for short-duration dynamic scans, acquired immediately after tracer injection, to recover information that can predict late-stage uptake of FDG. The work involves re-analysis of existing series of dynamic brain and breast tumour imaging data to simulate the type of information that would arise from early and late scanning. Using a collection of machine learning techniques (including random forests, neural networks, gradient boosting), we find that short-duration clinical protocols, soon after the tracer injection, show significant potential to recover the late stage FDG flux information.
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Keywords
Blood vessels , Brain , Cancer , Haemorheology , Learning (artificial intelligence) , Medical image processing , Positron emission tomography , Tumours , Prognostic utility , PET-FDG scans , Whole-body clinical fluoro-deoxyglucose-PET scans , Tracer injection , Prognostic value , Short-duration dynamic scans , Dynamic brain , Breast tumour , Short-duration clinical protocols , FDG flux information , Dynamic imaging protocols , Critical constraint limiting patient , Neural network , Gradient boosting , Random forests , Tumors , Imaging , Blood , Kinetic theory , Breast cancer , Predictive models
Citation
Wu, Q., O’Sullivan, F., Muzi, M. and Mankoff, D. A. (2019) 'An exploration of the prognostic utility of shortened dynamic imaging protocols for PET-FDG scans'. 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 26 Oct.-2 Nov. 2019, 1-3. doi: 10.1109/NSS/MIC42101.2019.9059874
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