Background: Methylphenidate (MPH) is the first-line pharmacological treatment of attention-deficit/hyperactivity disorder (ADHD). MPH binds to the dopamine (DA) transporter (DAT), which has high density in the striatum. Assessments of the striatal dopamine transporter by single positron emission computed tomography (SPECT) in childhood and adolescent patients are rare but can provide insight on how the effects of MPH affect DAT availability. The aim of our within-subject study was to investigate the effect of MPH on DAT availability and how responsivity to MPH in DAT availability is linked to clinical symptoms and cognitive functioning. Methods Thirteen adolescent male patients (9–16 years) with a diagnosis of ADHD according to the DSM-IV and long-term stimulant medication (for at least 6 months) with MPH were assessed twice within 7 days using SPECT after application of I-123-β-CIT to examine DAT binding potential (DAT BP). SPECT measures took place in an on- and off-MPH status balanced for order across participants. A virtual reality continuous performance test was performed at each time point. Further clinical symptoms were assessed for baseline off-MPH. Results On-MPH status was associated with a highly significant change (−29.9%) of striatal DAT BP as compared to off-MPH (t = −4.12, p = 0.002). A more pronounced change in striatal DAT BP was associated with higher off-MPH attentional and externalizing symptom ratings (Pearson r = 0.68, p = 0.01). Striatal DAT BP off-MPH, but not on-MPH, was associated with higher symptom ratings (Pearson r = 0.56, p = 0.04). Conclusion Our findings corroborate previous reports from mainly adult samples that MPH changes striatal DAT BP availability and suggest higher off-MPH DAT BP, likely reflecting low baseline DA levels, as a marker of symptom severity.

Background: Sorbents have been shown to adsorb iodinated radiocontrast media. Objective: In this study we describe a simple method to compare various sorbents in terms of capacity to adsorb radiocontrast media. Methods: Iodixanol solution was injected into columns filled with three types of sorbent at filtration velocities of increasing magnitude. Two variables of interest – contrast removal rate and matched iodine retention (MIR) – were calculated to measure the adsorption efficiency and the mass of contrast iodine adsorbed versus sorbent used, respectively. Results: The highest contrast removal and MIR for Porapak Q, CST 401 and Amberlite XAD4 were 41, 38 and 16% (p = 0.22 and 0.0005 for comparisons between Porapak Q-CST 401 and CST 401-Amberlite XAD4) and 0.060, 0.055 and 0.024, respectively (p = 0.18 and 0.0008). Extrapolation to a clinical scenario may suggest that removal of 8 ml iodixanol could be achieved by masses of sorbents of 43, 47 and 107 g, respectively. Conclusion: In this study we set a benchmark for comparing the radiocontrast-adsorbing efficiency of polymer sorbents during first-pass experiments, using a readily available methodology.

Die präklinische Forschung stellt den ersten wichtigen Meilenstein in der Klärung und Untersuchung klinisch-relevanter Erkrankungen dar. Darüber hinaus unterstützt die präklinische Forschung erheblich die Entwicklung von Therapien. Die Kleintier-Positronenemissionstomographie (µ-PET) spielt dabei eine wichtige Rolle, da sie in der Lage ist, funktionelle, physiologische und biochemische Prozesse in vivo darzustellen und zu quantifizieren. Trotz diverser etablierter PET-Datenauswertungs-Programme bleibt die Analyse von in vivo akquirierten Bilddaten aufgrund der Vielzahl an medizinischen Fragestellungen, der Komplexität der Krankheitsbilder, sowie der Etablierung neuer Radiotracer weiterhin eine große Herausforderung in der Medizin. Ziel dieser Doktorarbeit ist es daher, ein geeignetes, brauchbares Auswertungstool für eine einfache und effiziente Analyse von akquirierten µ-PET-Daten zu entwickeln und zu etablieren, welches das Spektrum bereits vorhandener Programme erweitert. Das entwickelte nuklearmedizinische Datenverarbeitungs-Analyseprogramm (engl. nuclear medicine data processing analysis tool, NU_DPA) wurde in Matlab implementiert und anhand dreier präklinischer Versuchs- bzw. Testreihen erprobt und etabliert. Bei den Datenreihen handelt es sich um µ-PET-Datensätze verschiedener Schlaganfall-Rattenhirnmodelle unter Verwendung folgender Radiotracer. Zum einen die im Gehirn homogen akkumulierende 2-[18F]Fluor-2-desoxy-glukose ([18F]FDG) zum anderen das spezifisch an P-Selektin anreichernde [68Ga]Fucoidan. Das NU_DPA umfasst die automatische Selektion des Zielvolumens (volume-of-interest, VOI) aus dem vollständigen PET-Bild und die anschließende Ausrichtung des VOI mit Hilfe eines PET-Templates (gemittelter PET-Datensatz). Dieses PET Template wird aus den eigenen akquirierten PET-Daten erstellt. Durch das Einbinden eines geeigneten anatomischen MRT-Atlas‘ (anpassbar) können die ausgerichteten PET-Daten einzelnen, Atlas-spezifischen Teilregionen zugeordnet werden. Eine solche Subklassifikation des VOI erlaubt eine genauere Betrachtung und Auswertung der Radiotracer-Akkumulation. Des Weiteren bietet NU_DPA die Möglichkeit einer semiquantitativen Auswertung der PET-Bilddaten anhand von drei unterschiedlichen Parametern, der normalisierten Aktivität, dem Standardized Uptake Value und der Uptake Ratio. Durch die Matlab-integrierten Statistik-Algorithmen ist zusätzlich eine Möglichkeit der statistischen Auswertung der zuvor berechneten Parameter gegeben. Das NU_DPA-Programm stellt somit ein semi-automatisiertes Datenauswertungs-Programm dar, das sowohl die Registrierung als auch die semiquantitative Auswertung von PET-Bilddaten innerhalb einer Versuchsreihe ermöglicht und bereits erfolgreich für die Radiotracer [18F]FDG und [68Ga]Fucoidan in Tiermodellen getestet wurde. Nach derzeitigem Kenntnisstand ist kein Datenauswertungs-Programm bekannt, das PET-Bilddaten unter Verwendung des hinzugefügten Atlas‘ semi-automatisiert analysieren kann und potenziell für homogene und Target-spezifisch akkumulierende Radiotracer geeignet ist.

Purpose One therapy option for prostate cancer patients with bone metastases is the use of [\(^{223}\)Ra]RaCl\(_{2}\). The α-emitter \(^{223}\)Ra creates DNA damage tracks along α-particle trajectories (α-tracks) in exposed cells that can be revealed by immunofluorescent staining of γ-H2AX+53BP1 DNA double-strand break markers. We investigated the time- and absorbed dose-dependency of the number of α-tracks in peripheral blood mononuclear cells (PBMCs) of patients undergoing their first therapy with [\(^{223}\)Ra]RaCl\(_{2}\). Methods Multiple blood samples from nine prostate cancer patients were collected before and after administration of [\(^{223}\)Ra]RaCl\(_{2}\), up to 4 weeks after treatment. γ-H2AX- and 53BP1-positive α-tracks were microscopically quantified in isolated and immuno-stained PBMCs. Results The absorbed doses to the blood were less than 6 mGy up to 4 h after administration and maximally 16 mGy in total. Up to 4 h after administration, the α-track frequency was significantly increased relative to baseline and correlated with the absorbed dose to the blood in the dose range < 3 mGy. In most of the late samples (24 h - 4 weeks after administration), the α-track frequency remained elevated. Conclusion The γ-H2AX+53BP1 assay is a potent method for detection of α-particle-induced DNA damages during treatment with or after accidental incorporation of radionuclides even at low absorbed doses. It may serve as a biomarker discriminating α- from β-emitters based on damage geometry.

Tracing its roots back to the 1940s, theranostics in nuclear oncology has proved successful mainly due to the beneficial effects of image-guided therapeutic concepts for patients afflicted with a variety of different cancers. The majority of these treatments are not only characterized by substantial prolongation of progression-free and overall survival, but are also generally safe, rendering theranostic agents as an attractive treatment option in various clinical scenarios in oncology. In this Special Issue Novel Theranostic Agents, nine original articles from around the globe provide further evidence on the use of the theranostic concept for neuroendocrine neoplasm (NEN), prostate cancer (PC), meningioma, and neuroblastoma. The investigated diagnostic and therapeutic radiotracers target not only established structures, such as somatostatin receptor, prostate-specific membrane antigen or norepinephrine transporter, but also recently emerging targets such as the C-X-C motif chemokine receptor 4. Moreover, the presented original articles also combine the concept of theranostics with in-depth read-out techniques such as radiomics or novel reconstruction algorithms on pretherapeutic scans, e.g., for outcome prediction. Even 80 years after its initial clinical introduction, theranostics in oncology continues to thrive, now more than ever.