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Identification of thyroid gland activity in radioiodine therapy

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00472057" target="_blank" >RIV/67985556:_____/17:00472057 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.imu.2017.02.004" target="_blank" >http://dx.doi.org/10.1016/j.imu.2017.02.004</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.imu.2017.02.004" target="_blank" >10.1016/j.imu.2017.02.004</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identification of thyroid gland activity in radioiodine therapy

  • Original language description

    The Bayesian identification of a linear regression model (called the biphasic model) for time dependence of thyroid gland activity in 131I radioiodine therapy is presented. Prior knowledge is elicited via hard parameter constraints and via the merging of external information from an archive of patient records. This prior regularization is shown to be crucial in the reported context, where data typically comprise only two or three high-noise measurements. The posterior distribution is simulated via a Langevin diffusion algorithm, whose optimization for the thyroid activity application is explained. Excellent patient-specific predictions of thyroid activity are reported. The posterior inference of the patient-specific total radiation dose is computed, allowing the uncertainty of the dose to be quantified in a consistent form. The relevance of this work in clinical practice is explained.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Informatics in Medicine Unlocked

  • ISSN

    2352-9148

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    11

  • Pages from-to

    23-33

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85016324996