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Record W2269001853 · doi:10.22038/ijmp.2006.8127

Comparison of the Obtained Results from Two Calibration Methods in MRI Brachytherapy Normoxic Polymer Gel Dosimetry

2006· article· en· W2269001853 on OpenAlexaff
Mahbod Sedaghat, M. H. Zahmatkesh, Ramin Jaberi, Sh. Akhalghpoor, M. Allahverdi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsBrachytherapyDosimeterDosimetryMaterials scienceCalibrationNuclear medicineRadiation treatment planningMedical physicsBiomedical engineeringRadiation therapyMedicinePhysicsRadiology

Abstract

fetched live from OpenAlex

Introduction: Despite the fact that the clinical implementation of polymer gel dosimetry has been facilitated after the introduction of normoxic gels, there are still complications in its clinical routine use that are under investigation. In the current work, the feasibility of using a normoxic polymer gel dosimeter named MAGICA has been investigated for use in our clinical brachytherapy applications at ImamHospital and the deviations between the results obtained from two different calibration methods were investigated. Materials and Methods: The gel fabrication was performed at Novin Medical Radiation Institute and 4 Perspex walled phantoms designed especially for brachytherapy irradiations were filled with the same gel, together with 15 plastic calibration test tubes. The test tubes were irradiated with a range of known doses using a cobalt-60 teletherapy unit and the phantoms were irradiated with two brachytherapy remote-after-loaders using Cs137 and Co60 brachytherapy sources according to the treatment planning data. Imaging was performed with a Multi-spin-echo protocol using a Siemens 1.5T MRI machine. Image processing was performed in MATLAB environment to extract R2 maps of the dose distributions. Gel fabrication, irradiation and imaging were performed at three different centers, so the dosimeters and test tubes were transferred from one center to another under non-uniform conditions. R2 values of the first dosimeter which was irradiated with a single cesium source were extracted from different distances from the source along a horizontal profile and correlated to the dose values at the same distances in treatment planning data. This was used as the second calibration method to extract the absolute measured values of the other three dosimeters. Diagrams of the absorbed dose versus distance were plotted for each dosimeter and the results obtained from the two calibration methods were compared. Results: Results of the measured values that were calibrated with the test tubes show a 3 to 6 Gy dose difference in plateaus and more than 2 mm distance to agreement gap in steep dose gradients. However, the results of using the second calibration method show at most a 0.36 Gy dose difference in plateaus and less than 2 mm distance to agreement gap in steep dose gradients. Discussion and Conclusion: As the gel fabrication, irradiation and imaging conditions were the same for all the gel dosimeters and the calibration tubes, the unexpected deviations between the results of the two calibration methods deserves more investigations. It seems plausible to attribute this deviation to the difference in the size of calibration test tubes and original dosimeters. From a practical point of view, as the origin of this effect has not yet been investigated, it would be best to use a calibration phantom with the same size and characteristics as the original dosimeters.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.371
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2006
Admission routes1
Has abstractyes

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