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Record W4391165432 · doi:10.1093/ecco-jcc/jjad212.0540

P410 Intraoperative Ultrasonography of the Small Bowel in the evaluation of resection margins during surgery for Crohn's Disease

2024· article· en· W4391165432 on OpenAlexaff
Franco Sacchetti, Fabrizio Pizzolante, Mauro Giambusso, C Nesci, Diana Giannarelli, Federica Galiandro, Daniela Pugliese, Franco Scaldaferri, Angelo Eugenio Potenza, Luigi Sofo

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsMedicineCrohn's diseaseUltrasonographyResectionBowel resectionSurgeryDiseaseRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Histological involvement of surgical resection margins in Crohn’s Disease (CD) is considered an important risk factor for disease recurrence after surgery. The extent of resection is currently left to preoperative investigations and surgeon's experience. Aim of the study is to evaluate usefulness of intra-operative ultrasonography (IOUS) of the small bowel to best identify the surgical site of resection and reduce the risk of histological involvement of resection margins. Methods Consecutive patients who underwent surgery for CD (ileocaecal or ileal resections for first or repeated surgery) from April 2022 to April 2023 were prospectively enrolled (IOUS group). All patients underwent to IOUS through a small mini-laparotomy with a linear wireless probe performed by an expert gastroenterologist and the location of the proximal ileal resection was decided considering the absence of intraoperative small bowel ultrasonographic signs of CD (wall thickness, mucosal, submucosal and muscular layer thickness, echogenicity of the wall stratification and mesenteric fat). A control group from the historical cohort of patients undergoing the same surgical procedures was included; for whom the site of the proximal ileal resection was decided only on the basis of the absence of macroscopic signs of disease as usually assessed. To minimize the selection bias, a propensity score analysis was performed identifying a subgroup of the historical cohort (non-IOUS group) matched for location of disease and repeated surgery. The primary endpoint was histological involvement of the resection margins, judged positive in case of granulomas or signs of active ulcerative inflammation. Results 27 patients (59% male, mean age 39.3 y [SD 16.5], mean BMI 21.24 [SD 2.03]) were consecutively enrolled in the IOUS group. A 1:1 propensity score matching analysis was performed identifying 27 patients included in the non-IOUS group . The two groups were homogeneous in terms of gender, age, smoking, BMI, behavior of disease and surgical technique (laparoscopic or open technique). IOUS group presented a lower rate of histological positive margins compared to the non-IOUS group (18.5% vs 48.1% p = 0.021). No significant differences were found in terms of mean duration of surgery between the two groups (254.2 min vs 225 min [49.3-77.8]; p = 0.11) or in terms of mean length of surgical specimen (24.1 cm vs 34.1 cm [SD 13.5 -23.1]; p = 0.058) Conclusion IOUS of the small bowel appears to be a useful tool for IBD-surgeon in order to obtain a lower rate of histologically positive margins with a comparable duration of the surgery and no significant difference in length of the intestinal specimen.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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 designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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