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Record W4226151179 · doi:10.1080/02656736.2021.1923836

Stereotactic body radiation therapy for colorectal liver metastases

2022· review· en· W4226151179 on OpenAlexaff
Issa Mohamad, Aisling Barry, Laura A. Dawson, Ali Hosni

Bibliographic record

VenueInternational Journal of Hyperthermia · 2022
Typereview
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineAblative caseRadiofrequency ablationRadiosurgeryRadiation therapyStereotactic radiation therapyCryotherapyRadiologyModalitiesQuality of life (healthcare)AblationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Multidisciplinary case discussion of patients with colorectal liver metastases (CRLM) has led to improved selection of more complex patients with the oligometastatic disease for treatment with surgical resection, locally ablative therapy or a combination of local modalities to improve the therapeutic ratio in patients with CRLM. Stereotactic body radiation therapy (SBRT) is a noninvasive local therapy with a potential role in the management of oligometastatic CRLM and may be considered as an alternate choice to other locally ablative therapies like radiofrequency ablation, radioembolization, chemoembolization or surgery or after the failure of other local treatment or in combination with surgery. Existing evidence reports for highly selected patients with CRLM, one to five fractions SBRT can be delivered safely, with satisfactory long-term local control, overall survival and quality of life. This review article will present the evidence of SBRT in this setting.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0020.000

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 head0.138
GPT teacher head0.353
Teacher spread0.215 · 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
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

Citations143
Published2022
Admission routes1
Has abstractyes

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