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.
| Τίτλος: | 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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| Συγγραφείς: | Garau, Ludovico M, Rosso, Veronica, Bastianutti, Livio, Schiattarella, Stefano, Gregorio, Fernando Di |
| Πηγή: | Radiation Protection Dosimetry; Jul2026, Vol. 202 Issue 11, p892-903, 12p |
| Θεματικοί όροι: | JavaScript programming language, Radioactive decay, Statistical reliability, Radiation doses, Model validation, Iodine isotopes, Computer simulation |
| Περίληψη: | 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] |
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| Βάση Δεδομένων: | Complementary Index |
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