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Penalized-likelihood reconstruction of [11C]metomidate PET in patients with primary aldosteronism
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Endocrine Surgery.ORCID iD: 0000-0003-3802-0974
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.ORCID iD: 0000-0002-0384-8045
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Endocrine Surgery.ORCID iD: 0000-0002-5322-5073
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry.ORCID iD: 0000-0002-1525-5255
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Objective

[11C]metomidate PET/CT is used for adrenocortical cancer imaging and is currently evaluated as an adjunct to adrenal vein sampling (AVS) for lateralization of aldosterone-producing adenomas (APA) in patients with primary aldosteronism (PA). This study assessed the image quality of a block-sequential regularized expectation maximization (BSREM) reconstruction algorithm (Q.Clear, GE Healthcare, Milwaukee, USA), to determine the optimal penalization factor (expressed as beta values) for clinical [11C]metomidate PET/CT. The time-of-flight coupled ordered subset expectation maximization (TOF OSEM) algorithm was used as the reference reconstruction.

 

Methods

Retrospectively, seven patients with primary aldosteronism were assessed, for whom raw data and TOF OSEM reconstructions of [11C]metomidate PET were available. Raw data were reconstructed applying BSREM with β-values 70-800. Tumour SUVmax in the APAs was measured and image quality was assessed mainly in terms of signal-to-background ratio (SBR) and signal-to-noise ratio (SNR) in comparison with TOF OSEM, applying a two-tailed Wilcoxon matched-pairs signed rank test. In addition, we addressed the effect of BSREM on lateralization.

 

Results

With the BSREM algorithm, and as compared to TOF OSEM reconstruction, the average lesion SUVmax increased for β-values 70 and 130 (p=0.0156).

SBR increased for β-values 130 or higher (p=0.0156) and SNR increased only for β-value 130 (p=0.0156). By using an adenoma-to-normal-adrenal gland ratio of 1.25 as the cut-off, one additional patient was lateralized by [11C]metomidate PET reconstructed with the BSREM (β 70 and 130, p=0.0156 and p=0.0312) as compared to TOF OSEM.

 

Conclusions

The BSREM reconstruction algorithm improves image quality, without compromising SUVmax quantification. In this study, a β-value between 70 and 130 was found optimal. BSREM may therefore improve lateralization by [11C]metomidate PET/CT in primary aldosteronism, with the expectation of the greatest impact on small adenomas.

Keywords [en]
metomidate, positron emission tomography, block sequential regularized expectation maximization, primary aldosteronism
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:uu:diva-487615OAI: oai:DiVA.org:uu-487615DiVA, id: diva2:1707166
Available from: 2022-10-30 Created: 2022-10-30 Last updated: 2022-10-31
In thesis
1. Improved adrenocortical PET imaging
Open this publication in new window or tab >>Improved adrenocortical PET imaging
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Introduction: Adrenal tumours can either be benign or malignant, hormone secreting or not, and they can be discovered through clinical examination of the patient or by pure chance. 

Increased knowledge in the area, plus the widespread use of imaging techniques, have resulted in a rising number of patients with adrenal tumours that subsequently need to be diagnosed. Improved imaging is needed for primary aldosteronism (PA) and adrenocortical carcinoma (ACC) but the positron emission tomography (PET) tracer currently in use, [11C]metomidate (MTO), has many important limitations. This thesis aims to improve adrenocortical PET imaging.

Methods: Paper 1 investigated the pre-clinical properties of Para-Chloro-2-[18F]fluoroethyl-etomidate (CETO), by autoradiography, binding studies, ex vivo biodistribution on rats and in vivo imaging using mice and one non-human primate (NHP). Paper II investigated the clinical properties of [18F]CETO and included patients with various kinds of adrenocortical tumours, and healthy volunteers. Metabolic and kinetic analyses were performed and three out of five healthy volunteers also underwent [15O]water PET/CT to measure adrenal blood flow. Test-retest was performed on all healthy volunteers.  Paper III assessed the in vivo and in-human radiation dosimetry of [18F]CETO. Ex vivo uptake data from rats and in vivo PET/CT from NHP and humans were used to calculate residence times. Paper IV evaluated the use of the block-sequential regularized expectation maximization (BSREM) reconstruction algorithm (Q.Clear, GE Healthcare, Milwaukee, USA) for [11C]MTO PET/CT in patients with PA.

Results: Papers I and II demonstrated that [18F]CETO is highly specific to the adrenal cortex both in vitro and in vivo. The non-specific binding of [18F]CETO in the liver was significantly lower than that of [11C]MTO. [18F]CETO metabolizes rapidly and the single tissue irreversible (1T1k) kinetic model provided the best fit.  [15O]water PET/CT results indicated that the adrenal [18F]CETO uptake was flow limited. Several retest values, including adrenal blood flow, were lower than the test values. Paper III found that the effective dose based on human data was 18.2 μSv/MBq and that the adrenal glands were the limiting organ regardless of species used. Paper IV showed that the BSREM reconstruction algorithm improves image quality, without compromising SUVmax quantification, and a β-value between 70 and 130 was found optimal.

Conclusion: [18F]CETO PET/CT is a promising method for adrenocortical imaging and is safe for clinical imaging in terms of radiation dose. [18F]CETO PET/CT should be further investigated in patients with PA or ACC, preferably in conjunction with BSREM reconstruction.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2022. p. 41
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 1885
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:uu:diva-487682 (URN)978-91-513-1654-3 (ISBN)
Public defence
2022-12-19, H:son Holmdahlssalen, Akademiska sjukhuset, ing 100, Uppsala, 09:00 (Swedish)
Opponent
Supervisors
Available from: 2022-11-24 Created: 2022-10-31 Last updated: 2022-11-24

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Silins, IsabellaLindström, ElinHellman, PerAntoni, GunnarSigfridsson, JonathanLubberink, MarkSundin, Anders

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