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Record W2036369627 · doi:10.1097/dcr.0000000000000123

Development and Implementation of a Synoptic MRI Report for Preoperative Staging of Rectal Cancer on a Population-Based Level

2014· article· en· W2036369627 on OpenAlex
Erin Kennedy, Laurent Milot, Mark Fruitman, Eisar Al‐Sukhni, G Dimitri N Heine, Selina Schmocker, Gina Brown, Robin S. McLeod

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDiseases of the Colon & Rectum · 2014
Typearticle
Languageen
FieldMedicine
TopicRadiology practices and education
Canadian institutionsLunenfeld-Tanenbaum Research InstituteSt Joseph's Health CentreUniversity of TorontoSunnybrook Health Science CentreMount Sinai Hospital
FundersNational Institute for Health and Care Research
KeywordsMedicineColorectal cancerSurgical oncologyColorectal surgeryGeneral surgeryProctoscopyRadiologyCancerPopulationRectumMedical physicsSurgeryAbdominal surgeryInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Colorectal cancer physician champions across the province of Ontario, Canada, reported significant concern about appropriate selection of patients for preoperative chemoradiotherapy because of perceived variation in the completeness and consistency of MRI reports. OBJECTIVE: The purpose of this work was to develop, pilot test, and implement a synoptic MRI report for preoperative staging of rectal cancer. DESIGN: This was an integrated knowledge translation project. SETTINGS: This study was conducted in Ontario, Canada. PATIENTS: Surgeons, radiologists, radiation oncologists, medical oncologists, and pathologists treating patients with rectal cancer were included in this study. INTERVENTIONS: A multifaceted knowledge translation strategy was used to develop, pilot test, and implement a synoptic MRI report. This strategy included physician champions, audit and feedback, assessment of barriers, and tailoring to the local context. A radiology webinar was conducted to pilot test the synoptic MRI report. MAIN OUTCOME MEASURES: Seventy-three (66%) of 111 Ontario radiologists participated in the radiology webinar and evaluated the synoptic MRI report. RESULTS: A total of 78% and 90% radiologists expressed that the synoptic MRI report was easy to use and included all of the appropriate items; 82% noted that the synoptic MRI report improved the overall quality of their information, and 83% indicated they would consider using this report in their clinical practice. An MRI report audit after implementation of the synoptic MRI report showed a 39% improvement in the completeness of MRI reports and a 37% uptake of the synoptic MRI report format across the province. LIMITATIONS: Radiologists evaluating the synoptic MRI report and participating in the radiology webinar may not be representative of gastroenterologic radiologists in other geographic jurisdictions. The evaluation of completeness and uptake of the synoptic MRI reports is limited because of unmeasured differences that may occur before and after the MRI. CONCLUSIONS: A synoptic MRI report for preoperative staging of rectal cancer was successfully developed and pilot tested in the province of Ontario, Canada.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.163

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)0.0000.000

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 head0.032
GPT teacher head0.371
Teacher spread0.338 · 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