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Record W2100654767 · doi:10.1667/rr3178.1

Effects of Dose-Delivery Time Structure on Biological Effectiveness for Therapeutic Carbon-Ion Beams Evaluated with Microdosimetric Kinetic Model

2013· article· en· W2100654767 on OpenAlexaff
Taku Inaniwa, Masao Suzuki, T. Furukawa, Yuki Kase, Nobuyuki Kanematsu, Toshiyuki Shirai, Roland B. Hawkins

Bibliographic record

VenueRadiation Research · 2013
Typearticle
Languageen
FieldMedicine
TopicRadiation Therapy and Dosimetry
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsRelative biological effectivenessNuclear medicineIrradiationLesionRadiation therapyDose rateAbsorbed doseMedicineTherapeutic indexBiomedical engineeringRadiochemistryDosimetryChemistryMedical physicsRadiologySurgeryPhysicsPharmacologyNuclear physics

Abstract

fetched live from OpenAlex

Treatment plans of carbon-ion radiotherapy have been made on the assumption that the beams are delivered instantaneously irrespective to the dose delivery time as well as the interruption time. The advanced therapeutic techniques such as a hypofractionation and a respiratory gating usually require more time to deliver a fractioned dose than conventional techniques. The purpose of this study was to investigate the effects of dose-delivery time structure on biological effectiveness in carbon-ion radiotherapy. The rate equations defined in the microdosimetric kinetic model (MKM) for primary lesions caused in the DNA were reanalyzed and applied to continuous or interrupted irradiation with therapeutic carbon-ion beams. The rate constants characterizing the time of the primary nonlethal lesions to repair or to convert to lethal lesion were experimentally determined for human salivary gland (HSG) tumor cells. Treatment plans were made for a patient case on the assumption that the beam is delivered instantaneously. The RBE weighted absorbed doses of 2.65, 3.45 and 6.86 Gy (RBE) was prescribed to the target. These plans were recalculated by varying the dose delivery time and the interruption time ranging from 1-60 min based on the MKM with the determined parameters. The sum of rate constants for nonlethal lesion to repair a and to convert to lethal lesion c, (a + c), is 2.19 ± 0.40 h⁻¹. The biological effectiveness in the target decreases with the dose delivery time T in continuous irradiation compared to the planned one due to the repair of nonlethal lesions during the irradiation. The biological effectiveness in terms of equivalent acute dose decreases to 99.7% and 96.4% for T = 3 and 60 min in 2.65 Gy (RBE), 99.5% and 94.3% in 4.35 Gy (RBE), and 99.4% and 91.7% in 6.86 Gy (RBE), respectively. For all the cases, the decrease of biological effectiveness is larger at the proximal side with low-LET than the distal side with high-LET. Similar reductions of biological effectiveness with comparable amounts are observed in the interrupted irradiations with prolonged interruption time τ. For the fraction time, i.e., T and/or τ, shorter than 3 min, the decrease of the biological effectiveness with respect to the planned one is less than 1.0%. However, if the fraction time prolongs to 30 min or longer, the biological effectiveness is significantly influenced in carbon-ion radiotherapy, especially with high-prescribed doses. These effects, if confirmed by clinical studies, should be considered in designing the carbon-ion treatment planning.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.344
Teacher spread0.307 · 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 designSimulation or modeling
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".

Quick stats

Citations71
Published2013
Admission routes1
Has abstractyes

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