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Record W2153250892 · doi:10.1118/1.4736051

WE‐A‐BRB‐10: Validation of the AAPM/ESTRO TG‐192 Protocol for Robotic Implantation of Brachytherapy Seeds: Spatial Positioning Assessment

2012· article· en· W2153250892 on OpenAlexaff
Tarun K. Podder, Luc Beaulieu, Barrett S. Caldwell, Robert A. Cormack, J. Crass, Adam P. Dicker, Aaron Fenster, Gábor Fichtinger, Michael Meltsner, Marinus A. Moerland, Ravinder Nath, Mark J. Rivard, Septimiu E. Salcudean, D. Song, Bruce Thomadsen, Yanyan Yu

Bibliographic record

VenueMedical Physics · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsRobarts Clinical TrialsCentre hospitalier universitaire de QuébecQueen's UniversityUniversity of British Columbia
Fundersnot available
KeywordsBrachytherapyImaging phantomComputer scienceProtocol (science)Medical physicsBiomedical engineeringSimulationNuclear medicineMedicineRadiologyRadiation therapy

Abstract

fetched live from OpenAlex

Purpose: To date, 13 robotic brachytherapy systems have been developed incorporating a variety of imaging, control, and delivery techniques. The joint AAPM/ESTRO TG‐192 report presents a new protocol for the validation of brachytherapy robotic systems and a review of the various brachytherapy systems. This study examines spatial positioning accuracy of implanted seeds. Methods: A recommendation is that a uniform test protocol should be followed for evaluating performance of any robotic systems that would be used for brachytherapy, especially for radioactive source implantation. Parameters needed to be evaluated are needle tip positioning accuracy, needle tip positioning repeatability, positioning accuracy of the delivered sources, robot‐to‐imager calibration accuracy, and qualitative assessment of tissue damage if needle rotation is used. To accomplish these goals, a phantom (polyvinylchloride) mimicking soft tissue is recommended. For the validation study, phantoms were prepared at Thomas Jefferson University and then sent to participating institutes to ensure phantom consistency and quality. A treatment plan was developed with needle and seed coordinates. Participating institutes would deposit 100 dummy seeds in the phantom using their robotic system. Five seeds would be deposited along each needle at inter‐seed spacing of 10mm; needles would be arranged in a specified order in a 10mm×10mm grid. Upon completion of seed deposition, the phantoms would be imaged using CT and fluoroscopy and/or digital photography. An example test run and observed accuracies are presented. Results: Observations so far from two robotic brachytherapy systems indicate that the protocol is feasible and easy to implement. Robotic systems following this protocol can deposit seeds within 1mm (3D) of the intended location. Conclusions: The TG‐192 protocol will be useful for commissioning any robotic brachytherapy seed‐implantation system. Use of this standardized method will allow quantitative comparisons of seed deposition positioning accuracies obtained from any robotic brachytherapy system.

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)0.015
metaresearch head score (Gemma)0.009
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 score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.019
GPT teacher head0.362
Teacher spread0.343 · 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".

Quick stats

Citations2
Published2012
Admission routes1
Has abstractyes

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