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Record W3089381773 · doi:10.1002/jum.15511

Intraoperative Ultrasound for Bowel Deep Infiltrating Endometriosis

2020· article· en· W3089381773 on OpenAlexaff
Andrea Puppo, Elena Olearo, Andrea Gattolin, Roberto Rimonda, Antonia Novelli, Marcello Ceccaroni

Bibliographic record

VenueJournal of Ultrasound in Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsRegina General Hospital
Fundersnot available
KeywordsMedicineEndometriosisNodule (geology)RadiologyLesionUltrasoundSurgeryPathology

Abstract

fetched live from OpenAlex

The decision to perform either conservative surgery or segmental bowel resection for bowel deep infiltrating endometriosis (DIE) is made intraoperatively, after a preoperative assessment, based on the nodule's features. We introduce a technique to evaluate DIE bowel nodules using laparoscopic intraoperative ultrasound (US) during laparoscopic radical treatment of 9 cases of DIE invading the bowel. Once the bowel lesion was isolated, an intraoperative 12-4-MHz US transducer was placed on the surface of the nodules to study their US features and to gain measurements. Deep infiltrating endometriosis nodules appear at intraoperative US as hypoechoic elliptical lesions with a clear definition of margins and the depth of infiltration of the rectal wall.

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)0.001
metaresearch head score (Gemma)0.113
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.439
Threshold uncertainty score0.895

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.113
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.345
Teacher spread0.304 · 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 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

Citations13
Published2020
Admission routes1
Has abstractyes

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