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Record W4241805171 · doi:10.1007/978-1-60761-567-5_17

High-Dose-Rate Preoperative Endorectal Brachytherapy for Patients with Rectal Cancer

2010· book-chapter· en· W4241805171 on OpenAlexaff
T. Vuong, Slobodan Dević, Ervin B. Podgoršak

Bibliographic record

VenueHumana Press eBooks · 2010
Typebook-chapter
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineBrachytherapyColorectal cancerRadiologyMagnetic resonance imagingRadiation treatment planningRadiation therapyExternal beam radiotherapyCancerInternal medicine

Abstract

fetched live from OpenAlex

High-dose-rate endorectal brachytherapy (HDREBT) is a novel treatment modality for patients with rectal cancer. It is based on modern tumor imaging, in particular magnetic resonance imaging (MRI), which is used to choose eligible patients and improve tumor visualization. Treatment planning is performed using 3D CT simulation and 3D treatment planning. Treatments are delivered on an outpatient basis and require minimal local anesthesia. Validation of this technique was carried out through a preoperative study. In this chapter, we describe the technical aspects of HDREBT and the ongoing studies exploring the clinical applications of this treatment modality for patients with rectal cancer: As neoadjuvant treatment for patients with operable rectal tumor As a dose escalation modality following external beam radiation for elderly and medically inoperable patients As a modality to promote to sphincter preservation surgery (SPS) for patients with low-lying rectal cancer As an option to improve local control in patients with newly diagnosed rectal cancer in the setting of previous pelvic radiation therapy

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.285
Teacher spread0.247 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations8
Published2010
Admission routes1
Has abstractyes

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