Nuclear medicine and radiopharmaceuticals for molecular diagnosis

Özdemir, Derya İlem; Gündoğdu, Evren; Ekinci, Meliha; Özgenç, Emre; Aşıkoğlu, Makbule

doi:10.1016/b978-0-12-816506-5.00017-6

Cited by 10 publications

(13 citation statements)

References 106 publications

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“…A Low T/NT ratio was observed in comparison with other organs with high radioactive accumulation such as the liver, spleen, and kidney. The minimum T/NT ratio to obtain high-quality images in SPECT imaging is 2 (Ilem-Ozdemir, et al, 2019).…”

Section: Ex Vivo Biodistribution and Pharmacokinetics Studymentioning

confidence: 99%

Drug interaction evaluation of [99mTc]Tc-ketoconazole uptake with ketoconazole administration in Candidiasis mice model

et al. 2021

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The use of radiopharmaceuticals for infection detection has gained increasing attention for their application in nuclear medicine. The administration of [99mTc]Tc-ketoconazole may altere pharmacological aspects including interaction data with some antifungals especially ketoconazole as a common drug for candidiasis treatment. The current study investigated the ex vivo biodistribution and pharmacokinetic interaction of [99mTc]Tc-ketoconazole after ketoconazole administration in BALB/c mice. In this research,The [99mTc]Tc-ketoconazole was prepared with radiochemical purity 94.59% (n=3). The ex vivo biodistribution uptake in infected muscle as a target organ showed 0.16±0.13%ID/g for control, 0.17±0.12 for 1 h, and 0.05±0.04 for 3 h after ketoconazole administration. The Target/Non-Target (T/NT) ratio between infected muscle compared with normal muscle showed 1.19±0.13 for the control group, 2.56±1.71 for 1 h and 0.86±0.67 for 3 h. The ex vivo biodistribution also showed high radioactivity uptake on the liver, lung, spleen and kidney. Pharmacokinetics analysis using PKSolver showed [99mTc]Tc-ketoconazole half-life elimination (t1/2 beta) for the therapy group showed shorter elimination time 13.78±4.77 h compared with the control group 44.77±2.74 h after ketoconazole administration. Pharmacokinetics parameter change also occurred on the area under the curve of therapy group (AUC 0-inf) that is 26.10±18.97 %ID/g*h and maximum concentration (Cmax) 13.05±9.48 %ID/g which was related with radiopharmaceutical absorption rate. This study proves that based on biodistribution and pharmacokinetics evaluation, the [99mTc]Tc-ketoconazole application was recommended at 1 h post ketoconazole administration.

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Section: Ex Vivo Biodistribution and Pharmacokinetics Studymentioning

confidence: 99%

Drug interaction evaluation of [99mTc]Tc-ketoconazole uptake with ketoconazole administration in Candidiasis mice model

et al. 2021

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“…The HENRYWIN program calculates the Henry's Law Constant, HLC, of organic compounds at 25 °C using two different methods: bond contribution; group contribution. The HLC [Pa•m 3 /mole] values in EPI Suite TM present the following information for the molecules: > 10 -1 very volatile from water; 10 -1 -10 -3 volatile from water; 10 -3 -10 -5 moderately volatile from water; 10 -5 -10 -7 slightly volatile from water; <10 -7 nonvolatile.…”

Section: Modelling -Epi Suite Tmmentioning

confidence: 99%

“…K OC can be described like the concentration of chemical adsorbed per unit weight of organic carbon, OC, in the soil to the amount of the chemical in solution at equilibrium as distribution ratio [40]. K oc [dm 3 /kg] or [cm 3 /g] represent information about chemical partition between solid and solution phases in soil, or between water and sediment in aquatic ecosystems [41]. The logK oc values in EPI Suite TM provide the following information about the chemical: > 4.5 very strong sorption to soil/sediment, negligible migration to ground water; 3.5-4.4 strong sorption to soil/sediment, negligible to slow migration to ground water; 2.5-3.4 moderate sorption to soil/sediment, slow migration to ground water; 1.5-2.4 low sorption to soil / sediment, moderate migration to ground water; < 1.5 negligible sorption to soil/sediment, rapid migration to ground water.…”

Section: Modelling -Epi Suite Tmmentioning

confidence: 99%

“…Pharmaceuticals are a specific type of environmental pollutant (micropollutants) with various detrimental effects on the ecosystem [1,2]. An interesting representative of this category are radiopharmaceuticals (RP) which are routinely administered worldwide in the form of nuclear medicine for therapeutic and diagnostic purposes [3,4]. As a result of all medical disposal, radioactive effluents can reach wastewater treatment plants (WWTP) and these facts are well-known to public bodies concerned with the release of artificial isotopes into the environment [5].…”

Section: Introductionmentioning

confidence: 99%

“…This organic part of RP can be accepted as radiopharmaceutical residuals (RPR) which will cause for longer time effect on nature [19,20] than conjugated radioisotopes (short half-lives from minutes to days). The plethora of existing bifunctional agents [21] responsible for conjugation of radioisotopes and bioactive molecules will provoke more different behaviour of RP in WWTP or in exact ecosystem than restricted number of suitable for nuclear medicine radioisotopes [3]. Keeping in mind very low concentrations of RPR in natural samples and followed instrumental straits [19,22] application of computational methods for predicting environmental behaviour are very appropriate.…”

Section: Introductionmentioning

confidence: 99%

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Environmental Effect of Potential Radiopharmaceuticals Residuals

Todorov

Nedyalkova

Simeonov

2020

Ecological Chemistry and Engineering S

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Driven by the current development of quantitative structure-properties relationship (QSPR) methods in the environmental science, we proposed an approach based on chemometric tools for selection of appropriate physicochemical parameters of radiopharmaceuticals residuals for predicting of partitioning, hazards and biodegradation of such compounds into the environment or into wastewater treatment plant. The present scheme was successfully applied for prediction of missing values for 24 different physicochemical and assessment response of the environmental fate descriptors for 11 tetrazine derivatives and 12 cyclooctene derivatives. The multivariate statistics was also proved to be useful in the evaluation of the obtained modelling results for identification of the ecological effect of radiopharmaceuticals residuals. The presented approach can be one of the first steps and support tools in the assessment of chemicals in terms of their environmental impact. The problem studies are significant since it allows a special point of view to the underestimated radiopharmaceutical pollutants.

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