Non-invasive full quantification of dynamic [11C]PBR28 PET imaging with ASTRA

Non-invasive full quantification of dynamic [11C]PBR28 PET imaging with ASTRA | Research Square Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF Article Non-invasive full quantification of dynamic [ 11 C]PBR28 PET imaging with ASTRA Ludovica Brusaferri, Alexander Whitehead, Leonardo Barzon, Lucia Maccioni, and 17 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8895728/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Quantitative analysis of dynamic PET imaging requires metabolite-corrected arterial input functions, traditionally obtained through invasive arterial sampling. This limits broader adoption of fully quantitative kinetic modelling, particularly for tracers such as [11C]PBR28 that generate radiometabolites. Here we demonstrate that metabolite-corrected input functions can be estimated from dynamic PET images alone across heterogeneous scanners and acquisition protocols, enabling full quantification without blood sampling. We developed a deep learning framework, ASTRA, that estimates subject-specific arterial input functions from brain PET data while quantifying predictive uncertainty. Across two independent multi-centre datasets acquired with different scanners and protocols, ASTRA-derived estimates closely matched arterial blood–based quantification. In a fully held-out clinical cohort without ground-truth blood data, ASTRA reproduced previously reported semi-quantitative SUVR group differences. Finally, in a fourth dataset, ASTRA preserved sensitivity to pharmacological TSPO blockade. This work addresses a longstanding barrier in dynamic PET imaging and establishes a scalable path toward blood-free, fully quantitative [11C]PBR28 PET imaging. Physical sciences/Engineering/Biomedical engineering Health sciences/Biomarkers Physical sciences/Engineering/Biomedical engineering Health sciences/Biomarkers Full Text Additional Declarations There is NO Competing Interest. Supplementary Files Supplementary.pdf Supplementary Information nrreportingsummarymain.pdf Reporting Summary Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information

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