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Record W2614033103 · doi:10.1002/mp.12335

Comparison of <sup>192</sup>Ir, <sup>169</sup>Yb, and <sup>60</sup>Co high‐dose rate brachytherapy sources for skin cancer treatment

2017· article· en· W2614033103 on OpenAlexaff
Habib Safigholi, Ali S. Meigooni, William Y. Song

Bibliographic record

VenueMedical Physics · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsSunnybrook HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsBrachytherapyImaging phantomDosimetryMaterials scienceNuclear medicineMonte Carlo methodPhysicsOpticsRadiation therapyMedicineMathematics

Abstract

fetched live from OpenAlex

Purpose To evaluate the possibility of utilizing the high‐dose rate ( HDR ) 169 Yb and 60 Co sources, in addition to 192 Ir, for the treatment of skin malignancies with conical applicators. Methods Monte Carlo ( MC ) simulations were used to benchmark the dosimetric parameters of single 169 Yb (4140), 60 Co (Co0.A86), and 192 Ir ( mHDR ‐V2) brachytherapy sources in a water phantom and compared their results against published data. A standard conical tungsten alloy Leipzig‐style applicator (Stand.Appl) was used for determination of the dose distributions at various depths with a single dwell position of the HDR sources. The HDR sources were modeled with its long axis parallel to the treatment plane within the opening section of the applicator. The source‐to‐surface distance ( SSD ) was 1.6 cm, which included a 0.1 cm thick removable plastic end‐cap used for clinical applications. The prescription depth was considered to be 0.3 cm in a water phantom following the definitions in the literature for this treatment technique. Dose distributions generated with the Stand.Appl and the 169 Yb and 60 Co sources have been compared with those of the 192 Ir source, for the same geometry. Then, applicator wall thickness for the 60 Co source was increased (doubled) in MC simulations in order to minimize the leakage dose and penumbra to levels that were comparable to that from the 192 Ir source. For each source‐applicator combination, the optimized plastic end‐cap dimensions were determined in order to avoid over‐dosage to the skin surface. Results The normalized dose profiles at the prescription depth for the 169 Yb‐Stand.Appl and the 60 Co‐double‐wall applicator were found to be similar to that of the 192 Ir‐Stand.Appl, with differences &lt; 2.5%. The percentage depth doses ( PDD ) for the 192 Ir‐, 169 Yb‐ and 60 Co‐Stand.Appl were found to be comparable to the values with the 60 Co‐double‐walled applicator, with differences &lt; 1.7%. The applicator output‐factors at the prescription depth were also comparable at 0.309, 0.316, and 0.298 ( cG y/ hU ) for the 192 Ir‐, 169 Yb‐Stand.Appl, and 60 Co‐double‐wall applicators respectively. The leakage dose around the Stand.Appl for distance &gt; 2 cm from the applicator surface was &lt; 5% for 192 Ir, &lt; 1% for 169 Yb, and &lt; 18% for 60 Co relative to the prescription dose. However, using the double‐walled applicator for the 60 Co source reduced the leakage dose to around 5% of the prescription dose, which is comparable with that of the 192 Ir source. The optimized end‐cap thicknesses for the 192 Ir‐, 169 Yb‐Stand.Appl, and the 60 Co‐double‐wall applicator were found to be 1.1, 0.6, and 3.7 mm respectively. Conclusions Application of the 169 Yb (with Stand.Appl) or the 60 Co source (with double‐wall applicator) has been evaluated as alternatives to the existing 192 Ir source (with Stand.Appl) for the HDR brachytherapy of skin cancer patients. These alternatives enable the clinics that may have 169 Yb or 60 Co sources instead of the 192 Ir source to perform the skin brachytherapy and achieve comparable results. The conical surface applicators must be used with a protective plastic end‐cap to eliminate the excess electrons that are created in the source and applicator, in order to avoid skin surface over‐dosage. The treatment times for the 60 Co source remain to be determined. Additionally, for 169 Yb, the source needs to be changed on monthly basis due to its limited half‐life.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.355
Teacher spread0.332 · 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 teacher head, not a consensus.

Study designOther design
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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Citations41
Published2017
Admission routes1
Has abstractyes

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