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Record W4403759697 · doi:10.1016/j.brachy.2024.08.201

PO0310

2024· article· gl· W4403759697 on OpenAlexaffabout
Maryam Rahbaran, Brian A. Bergmark, Kevin Croce, James Man Git Tsui, Phillip M. Devlin, Shirin A. Enger

Bibliographic record

VenueBrachytherapy · 2024
Typearticle
Languagegl
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsMcGill University Health CentreMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineFamily medicineTraditional medicine

Abstract

fetched live from OpenAlex

Purpose Drug-eluting stents are the first-line therapy for in-stent restenosis. However, intravascular brachytherapy (IVBT) is used to treat patients whose drug-eluting stents fail. Current clinical dosimetry for IVBT is water-based, i.e., the absorbed dose in the target volume is calculated by assuming that the patient's artery, calcified plaques, metallic stents, and off-centred guidewire from the IVBT delivery system are all water with unit mass density. We have previously developed a Monte Carlo-based dosimetry software, RapidBrachyIVBT, to account for these heterogeneities and allow for dose calculations on optical coherence tomography images (OCT). This study examines the impact of off-centred guidewires on dose inhomogeneity during irradiation, considering scenarios with multiple guidewires, often overlooked in previous studies. Multiple guidewires are used in cases where the source train passes through a bifurcation of blood vessels. Materials and Methods RapidBrachyIVBT, a Monte Carlo dosimetry software based on the Geant4 toolkit, including the Novoste Beta-Cath 3.5F IVBT device with a 90 Sr 90 Y source train, was used. OCT images from a patient undergoing coronary IVBT for recurrent in-stent restenosis treated at Brigham and Women's Hospital (Boston, Massachusetts) were used to calculate the absorbed dose considering all heterogeneities compared to the dose calculated in water. The patient artery was segmented as water (lumen), fibrotic plaque (around the lumen), calcified plaque (behind the fibrotic plaque), smooth muscle (tunica media) and cobalt-alloy (stents). The source position was assumed to be at the origin of the image, where the OCT imaging device was placed. The guidewire positions were assumed to be at the exact locations used during imaging. Simulations were performed on the Digital Research Alliance of Canada Cedar computing cluster with 200 million decay events to yield less than 1% uncertainty on absorbed dose in the target volume, 2 mm from the source center. The absorbed dose was scored in rectangular voxels of 0.1 × 0.1 × 1.0 mm 3 along a 42 mm length, which includes the stents, source train and an additional 2 mm margin. The prescribed dose was 23 Gy to the target volume. The dose homogeneity index, the maximum to minimum dose ratio in the target volume, was calculated in both water and patient cases. Results The dose difference between the water and patient-specific cases was up to 56.2%, 55.8%, and 64.6% in the target volume with one, two, and three guidewires, respectively. The mean dose at the target volume was reduced by 3.4% and an additional 4.1% when adding the second and third guidewire, respectively. The dose homogeneity index was 1.29 in water and 2.96, 2.94, and 3.33 for the respective patient-specific cases. Each guidewire added a cold spot around the IVBT source at the target volume. Conclusions The dose at the target volume in IVBT is significantly reduced when three guidewires are present. Limiting the number of guidewires present during irradiation would reduce cold spots and dose inhomogeneity at the target volume.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.782
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0160.006

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 head0.020
GPT teacher head0.330
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2024
Admission routes2
Has abstractyes

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