Abstract
PURPOSE Radiolabelled somatostatin analogues targeting somatostatin receptors (SSR) are well established for combined positron emission tomography/computer tomography (PET/CT) imaging of neuroendocrine tumours (NET). 18FSiTATE has recently been introduced showing high image quality, promising clinical performance and improved logistics compared to the clinical reference standard 68Ga-DOTA-TOC. Here we present the first dosimetry and optimal scan time analysis. METHODS Eight NET patients received a 18FSiTATE-PET/CT (250 ± 66~MBq) with repeated emission scans (10, 30, 60, 120, 180~min after injection). Biodistribution in normal organs and SSR-positive tumour uptake were assessed. Dosimetry estimates for risk organs were determined using a combined linear-monoexponential model, and by applying 18F S-values and reference target masses for the ICRP89 adult male or female (OLINDA 2.0). Tumour-to-background ratios were compared quantitatively and visually between different scan times. RESULTS After 1 h, normal organs showed similar tracer uptake with only negligible changes until 3 h post-injection. In contrast, tracer uptake by tumours increased progressively for almost all types of metastases, thus increasing tumour-to-background ratios over time. Dosimetry resulted in a total effective dose of 0.015 ± 0.004~mSv/MBq. Visual evaluation revealed no clinically relevant discrepancies between later scan times, but image quality was rated highest in 60 and 120~min images. CONCLUSION 18FSiTATE-PET/CT in NET shows overall high tumour-to-background ratios from 60 to 180~min after injection and an effective dose comparable to 68Ga-labelled alternatives. For clinical use of 18FSiTATE, the best compromise between image quality and tumour-to-background contrast is reached at 120~min, followed by 60~min after injection.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
URN: | urn:nbn:de:bvb:19-epub-76532-0 |
Sprache: | Englisch |
Dokumenten ID: | 76532 |
Datum der Veröffentlichung auf Open Access LMU: | 20. Jul. 2021, 07:07 |
Letzte Änderungen: | 02. Feb. 2022, 07:32 |