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1.
Phys Med ; 62: 33-40, 2019 Jun.
Article in English | MEDLINE | ID: mdl-31153396

ABSTRACT

The application of an individualised dosimetric procedure for radioiodine therapy requires the intensive use of resources in nuclear medicine facilities. In practice, the amount of data taken per patient is too limited to obtain an accurate estimate of the absorbed dose in the thyroid. The individualised absorbed dose estimates can be enhanced using statistical tools for population-based approaches. The aim of this work was to build a population biokinetic model of thyroid uptake and elimination of radioiodine using a nonlinear mixed-effects approach in patients with Graves' disease. Input data for the model development were taken from a dosimetric method based on 123I imaging data. 123I decay-corrected uptake values were estimated at 4, 24, and 96 h post-administration and for 58 patients. The root mean squared error (RMSE) for predicted 123I uptake values by the fitted model was 4%. The root mean squared error of prediction (RMSEP) for out-of-sample 123I uptake values, computed by a leave-one-out cross-validation, was 12%. We calculated 131I activity to administer from out-of-sample predicted 123I uptake values and compared the result with that calculated from observed 123I uptake values. RMSEP values for therapeutic activity revealed that there were measuring points with higher weight than others in the model. The mixed-effects approach can be used to enhance the accuracy of dosimetric calculations in therapies using 131I. Assessing the accuracy of the predictive model enables choosing among different time-sampling schedules of the radioiodine thyroid uptake curve. This methodology can also be applied in other areas of radiation dosimetry.


Subject(s)
Hyperthyroidism/radiotherapy , Iodine Radioisotopes/therapeutic use , Models, Biological , Precision Medicine , Adult , Aged , Aged, 80 and over , Female , Humans , Kinetics , Male , Middle Aged , Nonlinear Dynamics , Radiometry
2.
Persoonia ; 37: 13-20, 2016 12.
Article in English | MEDLINE | ID: mdl-28232758

ABSTRACT

Baudoinia was described to accommodate a single species, B. compniacensis. Known as the 'whiskey fungus', this species is the predominant member of a ubiquitous microbial community known colloquially as 'warehouse staining' that develops on outdoor surfaces subject to periodic exposure to ethanolic vapours near distilleries and bakeries. Here we examine 19 strains recovered from environmental samples near industrial settings in North America, South America, the Caribbean, Europe and the Far East. Molecular phylogenetic analysis of a portion of the nucLSU rRNA gene confirms that Baudoinia is a monophyletic lineage within the Teratosphaeriaceae (Capnodiales). Multilocus phylogenetic analysis of nucITS rRNA (ITS1-5.8S-ITS2) and partial nucLSU rRNA, beta-tubulin (TUB) and elongation factor 1-alpha (TEF1) gene sequences further indicates that Baudoinia consists of five strongly supported, geographically patterned lineages representing four new species (viz. Baudoinia antilliensis, B. caledoniensis, B. orientalis and B. panamericana).

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