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Record W2989588910 · doi:10.1016/j.prro.2019.11.002

A Cancer Care Ontario Organizational Guideline for the Delivery of Stereotactic Radiosurgery for Brain Metastasis in Ontario, Canada

2019· review· en· W2989588910 on OpenAlexafffundabout
Arjun Sahgal, Sarah Kellett, Mark Ruschin, Jeffrey Greenspoon, Matthew Follwell, John Sinclair, Omar Islam, James Perry

Bibliographic record

VenuePractical Radiation Oncology · 2019
Typereview
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsKingston General HospitalOttawa HospitalRoyal Victoria Regional Health CentreSunnybrook HospitalJuravinski Cancer CentreSunnybrook Health Science Centre
FundersCancer Care OntarioMinistry of Health, Ontario
KeywordsMedicineRadiosurgeryQuality assuranceMedical physicsMultidisciplinary approachGuidelineRadiation oncologistBrain metastasisMedical imagingRadiation therapyRadiologyCancerMetastasis

Abstract

fetched live from OpenAlex

PURPOSE: In Ontario, Canada, there is increasing demand for stereotactic radiosurgery (SRS) for brain metastases. Recommendations for safe SRS delivery are needed to ensure that patients receive an equitable level of care across the province. This guideline presents the minimal recommendations for the organization and delivery of SRS with respect to the multidisciplinary team, applicable technologies, imaging requirements, quality assurance program, and patient follow-up. METHODS AND MATERIALS: The recommendations are based on the consensus opinion of the Cancer Care Ontario SRS for Brain Metastasis Guideline Development Group and clinical evidence when available. Primary consideration was given to the perceived benefits for patients and the small likelihood of harm arising from recommendation implementation. With the exception of the magnetic resonance imaging (MRI) follow-up strategy, all evidence was considered indirect and was provided by the working group in conjunction with their collective expertise in the field of SRS. RESULTS: The application of SRS requires a multidisciplinary team consisting of a radiation oncologist, neurosurgeon, neuroradiologist, medical physicist, radiation therapist, and medical dosimitrist. Volumetric imaging scanning parameters must be set to ensure sufficient spatial resolution, geometric fidelity, and contrast signal for brain metastases to be adequately and reliably visualized, contoured, and planned. The MRI-to-treatment time interval should be as short as possible, ideally no more than 7 days and certainly no more than 14 days as a maximum. Quality assurance programs must ensure that the treatment unit is in compliance with the manufacturer and with national and international guidelines. Follow-up of patients undergoing SRS should consist of routine clinical visits with an MRI every 2 to 3 months for the first year; every 3 to 4 months for the second and third year; and thereafter as determined by the multidisciplinary case conference. CONCLUSIONS: The recommendations enclosed provide a framework for the minimum requirements for a cancer center in Ontario, Canada, to offer SRS for brain metastases.

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)0.009
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score0.773

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0030.006
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0060.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0080.002

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 head0.099
GPT teacher head0.421
Teacher spread0.322 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2019
Admission routes3
Has abstractyes

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