Purpose: The need for an interval between the administration of long-acting Somatostatin Receptor Analogues (SSA) and the [Ga]Ga-DOTA-TATE PET has been questioned based on recent literature in the new EANM guidelines. Here an earlier studies showed that SSA injection immediately before SSTR PET had minimal effect on normal organ and tumor uptake (1). However, data are scarce and there are (small) differences between [Ga]Ga-DOTA-TATE and [Ga]Ga-DOTA-TOC binding affinity, and it remains unknown whether these findings can be directly translated to scans with [Ga]Ga-DOTA-TOC as well. The purpose of this study was to assess the effect of SSA use on the biodistribution in a subsequent [Ga]Ga-DOTA-TOC PET/CT and compare this intra-individually across several cycles of SSA treatments.
Methods: Retrospectively, 35 patients with NENs were included. [Ga]Ga-DOTA-TOC PET at staging and after the 1st and 2nd cycle of SSA were included. SUVmean and SUVmax of blood, visceral organs, primary tumor and two metastases were determined. Also, the interval between SSA therapy and the PET scan was registered.
Results: Treatment with SSA resulted in a significantly higher bloodpool activity and lower visceral tracer uptake. This effect was maintained after a 2nd cycle of SSA therapy. Furthermore, there was an inverse relationship between bloodpool tracer availability and visceral tracer binding and a positive correlation between bloodpool tracer availability and primary tumor tracer uptake. With an interval of up to 5 days, there was a significantly higher bloodpool activity than at longer intervals.
Conclusion: Absolute comparison of the SUV on [Ga]Ga-DOTA-TOC PET should be done with caution as the altered biodistribution of the tracer after SSA treatment should be taken into account. We recommend not to perform a scan within the first 5 days after the injection of lanreotide.
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http://dx.doi.org/10.1007/s00259-024-06659-0 | DOI Listing |
Mov Disord Clin Pract
January 2025
TSE/Prion Biochemistry Section, DIR, National Institute of Allergy and Infectious Diseases (NIAID), Hamilton, Montana, USA.
Background: Cerebrospinal fluid (CSF) α-synuclein seeding activity (SSA) via a seed amplification assay might predict central Lewy body diseases (LBD) in at-risk individuals.
Objective: The aim was to assess CSF SSA in a prospective, longitudinal study.
Methods: Participants self-reported risk factors were genetics, olfactory dysfunction, dream enactment behavior, orthostatic intolerance, or hypotension; individuals who had ≥3 confirmed risk factors underwent CSF sampling and were followed for up to 7.
JACC Adv
December 2024
Department of Clinical Medicine and Therapeutics, University of Nairobi, Nairobi, Kenya.
Background: There is a growing burden of acute coronary syndrome (ACS) and heart failure (HF) in sub-Saharan Africa (SSA), yet outcomes remain poor compared to high-income countries. The European Society of Cardiology (ESC) international guidelines are pivotal to the delivery of evidence-based care; however, their representation of populations from SSA remains unclear.
Objectives: The purpose of the study was to evaluate the representation of populations from SSA in randomized controlled trials (RCTs) that inform ESC ACS and HF guidelines.
Environ Sci Technol
January 2025
Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China.
Mercury (Hg) is a neurotoxic pollutant that is ubiquitous on the planet and receives global concern because of its adverse health effects. Particle-bound Hg formation in the atmosphere stems mainly from the adsorption of reactive gaseous Hg on aerosol particles, particularly sea salt aerosol. However, the observed comparable abundance of Hg over Hg in the marine atmosphere has not been reproduced by traditional statistics-based schemes, which were constructed by continental observations.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Engineering, College of Computer and Information Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia.
Proper modeling of PV cells/modules through parameter identification based on the real current-voltage (I-V) data is important for the efficiency of PV systems. Most related works have concentrated on the classical single-diode model (SDM) and double-diode model (DDM) and their parameter extraction by various metaheuristic algorithms. In order to render more accurate and representative modeling, this paper adds a small resistance in series with the diodes in SDM and DDM.
View Article and Find Full Text PDFN Engl J Med
January 2025
From the Departments of Emergency Medicine (E.F.S.), Radiology (B.P.A.), Medicine (S.S.A.), and Neurology (D.J.L.), Massachusetts General Hospital, and the Departments of Emergency Medicine (E.F.S.), Radiology (B.P.A.), Medicine (S.S.A.), and Neurology (D.J.L.), Harvard Medical School - both in Boston.
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