Automated radiosynthesis of [ 18 F]CETO, a PET radiotracer for imaging adrenal glands, on Synthra RNplus.
Matthew HirdJoseph J RussellLei Li CorriganIstvan BorosPatrik NordemanGunnar AntoniMark GurnellFranklin I AigbirhioPublished in: Journal of labelled compounds & radiopharmaceuticals (2023)
Primary aldosteronism (PA) is the leading secondary cause of hypertension. Determining whether one (unilateral) or both (bilateral) adrenal glands are the source of PA in a patient remains challenging, and yet it is a critical step in the decision whether to recommend potentially curative surgery (adrenalectomy) or lifelong medical therapy (typically requiring multiple drugs). Recently, we have developed a fluorine-18 radiopharmaceutical [ 18 F]CETO to permit greater access to PA molecular imaging. Herein, we report an automated synthesis of this radiotracer. To manufacture the radiopharmaceutical routinely for clinical PET studies, we implemented an automated radiosynthesis method on a Synthra RNplus© synthesiser for which Cl-tosyletomidate was used as the precursor for radiolabelling via nucleophilic [ 18 F]fluorination. [ 18 F]CETO was produced with 35 ± 1% (n = 7), decay corrected and 25 ± 4% (n = 7) non-decay corrected radiochemical yield with molar activities ranging from 150 to 400 GBq/μmol. The GMP compliant manufacturing process produces a sterile formulated [ 18 F]CETO injectable solution for human use as demonstrated by the results of quality control. Automation of the radiosynthesis of [ 18 F]CETO should facilitate uptake by other adrenal centres and increase access to molecular imaging in PA.
Keyphrases
- pet imaging
- quality control
- positron emission tomography
- endothelial cells
- blood pressure
- computed tomography
- case report
- minimally invasive
- healthcare
- machine learning
- coronary artery bypass
- high throughput
- stem cells
- decision making
- escherichia coli
- pet ct
- mesenchymal stem cells
- acute coronary syndrome
- tissue engineering
- induced pluripotent stem cells
- hyaluronic acid
- prognostic factors