Academic Journal
A JavaScript-based computational method for predicting decay activity of 131I: development, benchmark- and phantom-based assessment of an open-access research tool.
| Title: | A JavaScript-based computational method for predicting decay activity of 131I: development, benchmark- and phantom-based assessment of an open-access research tool. |
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| Authors: | Garau, Ludovico M, Rosso, Veronica, Bastianutti, Livio, Schiattarella, Stefano, Gregorio, Fernando Di |
| Source: | Radiation Protection Dosimetry; Jul2026, Vol. 202 Issue 11, p892-903, 12p |
| Subject Terms: | JavaScript programming language, Radioactive decay, Statistical reliability, Radiation doses, Model validation, Iodine isotopes, Computer simulation |
| Abstract: | This study investigated the use of JavaScript (JS) to develop and test an open-access method, provided as a research resource, for predicting the decay and cumulative activity of iodine-131 (131I). A client-side JS engine was implemented to simulate decay using mono-exponential and piecewise multi-segmented models. Built-in JS functions were used to perform logarithmic and exponential operations. The tool's performance was validated against ion-chamber measurements from a thyroid phantom containing a pre-calibrated 131I capsule; moreover, measurement reliability was assessed. The phantom test showed a mean absolute error of 0.010 μSv/h for the mono-exponential model and 0.008 μSv/h for the multi-segmented model. The intraclass correlation coefficient (ICC) demonstrated excellent inter-observer agreement (ICC range: 0.998–0.999), while the mean intra-observer difference was 0.3% (SD = 0.2%; range: 0.1%–0.6%). By quantifying instrument-related error in advance, future studies may more confidently isolate biological variability, thereby supporting the robustness of patient-level interpretation and dose-prediction models. [ABSTRACT FROM AUTHOR] |
| Copyright of Radiation Protection Dosimetry is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=01448420&ISBN=&volume=202&issue=11&date=20260701&spage=892&pages=892-903&title=Radiation Protection Dosimetry&atitle=A%20JavaScript-based%20computational%20method%20for%20predicting%20decay%20activity%20of%20131I%3A%20development%2C%20benchmark-%20and%20phantom-based%20assessment%20of%20an%20open-access%20research%20tool.&aulast=Garau%2C%20Ludovico%20M&id=DOI:10.1093/rpd/ncag024 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Header | DbId: edb DbLabel: Complementary Index An: 195158743 RelevancyScore: 1082 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1082.42175292969 |
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| Items | – Name: Title Label: Title Group: Ti Data: A JavaScript-based computational method for predicting decay activity of <superscript>131</superscript>I: development, benchmark- and phantom-based assessment of an open-access research tool. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Garau%2C+Ludovico+M%22">Garau, Ludovico M</searchLink><br /><searchLink fieldCode="AR" term="%22Rosso%2C+Veronica%22">Rosso, Veronica</searchLink><br /><searchLink fieldCode="AR" term="%22Bastianutti%2C+Livio%22">Bastianutti, Livio</searchLink><br /><searchLink fieldCode="AR" term="%22Schiattarella%2C+Stefano%22">Schiattarella, Stefano</searchLink><br /><searchLink fieldCode="AR" term="%22Gregorio%2C+Fernando+Di%22">Gregorio, Fernando Di</searchLink> – Name: TitleSource Label: Source Group: Src Data: Radiation Protection Dosimetry; Jul2026, Vol. 202 Issue 11, p892-903, 12p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22JavaScript+programming+language%22">JavaScript programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Radioactive+decay%22">Radioactive decay</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+reliability%22">Statistical reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Radiation+doses%22">Radiation doses</searchLink><br /><searchLink fieldCode="DE" term="%22Model+validation%22">Model validation</searchLink><br /><searchLink fieldCode="DE" term="%22Iodine+isotopes%22">Iodine isotopes</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study investigated the use of JavaScript (JS) to develop and test an open-access method, provided as a research resource, for predicting the decay and cumulative activity of iodine-131 (<superscript>131</superscript>I). A client-side JS engine was implemented to simulate decay using mono-exponential and piecewise multi-segmented models. Built-in JS functions were used to perform logarithmic and exponential operations. The tool's performance was validated against ion-chamber measurements from a thyroid phantom containing a pre-calibrated <superscript>131</superscript>I capsule; moreover, measurement reliability was assessed. The phantom test showed a mean absolute error of 0.010 μSv/h for the mono-exponential model and 0.008 μSv/h for the multi-segmented model. The intraclass correlation coefficient (ICC) demonstrated excellent inter-observer agreement (ICC range: 0.998–0.999), while the mean intra-observer difference was 0.3% (SD = 0.2%; range: 0.1%–0.6%). By quantifying instrument-related error in advance, future studies may more confidently isolate biological variability, thereby supporting the robustness of patient-level interpretation and dose-prediction models. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Radiation Protection Dosimetry is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/rpd/ncag024 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 892 Subjects: – SubjectFull: JavaScript programming language Type: general – SubjectFull: Radioactive decay Type: general – SubjectFull: Statistical reliability Type: general – SubjectFull: Radiation doses Type: general – SubjectFull: Model validation Type: general – SubjectFull: Iodine isotopes Type: general – SubjectFull: Computer simulation Type: general Titles: – TitleFull: A JavaScript-based computational method for predicting decay activity of 131I: development, benchmark- and phantom-based assessment of an open-access research tool. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Garau, Ludovico M – PersonEntity: Name: NameFull: Rosso, Veronica – PersonEntity: Name: NameFull: Bastianutti, Livio – PersonEntity: Name: NameFull: Schiattarella, Stefano – PersonEntity: Name: NameFull: Gregorio, Fernando Di IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01448420 Numbering: – Type: volume Value: 202 – Type: issue Value: 11 Titles: – TitleFull: Radiation Protection Dosimetry Type: main |
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