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Record W4406705857 · doi:10.1093/ecco-jcc/jjae190.0118

DOP079 The impact of integrating pelvic MRI at diagnosis on early detection of perianal Crohn's disease in pediatrics

2025· article· en· W4406705857 on OpenAlexaffabout
M Antaya, Alexandra Hudson, E Paul Lerner, K Nasser, Matthew Carroll, Daniela Migliarese Isaac, Eytan Wine, Troy Perry, Ann Thompson, Hien Q. Huynh

Bibliographic record

VenueJournal of Crohn s and Colitis · 2025
Typearticle
Languageen
FieldMedicine
TopicDiverticular Disease and Complications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineCrohn's diseaseRadiologyDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Perianal Crohn’s disease (CD) can be a severe manifestation of pediatric CD.1,2 It is underrecognized, particularly if asymptomatic, with varied reported incidences (10-60%). Earlier detection by pelvic magnetic resonance imaging (pMR) may alter outcomes.3 The aim of this study was to determine if performing pMR on newly diagnosed pediatric CD patients identifies asymptomatic perianal CD and leads to earlier biologic use and less surgery. Methods New CD patients were prospectively enrolled into the Edmonton Pediatric Inflammatory Bowel Disease Clinic (EPIC) registry; EPIC has done baseline pMR since 2018. A retrospective review (2018-2023) collected pMR, perianal exam, symptoms, blood work, calprotectin, medication, and surgery (luminal and/or perianal) data. A blinded radiologist read pMRs using St. James and Parks criteria. Statistics included descriptive, Fisher’s exact test, multivariable logistic regression, and survival analysis. Results 139 patients were included (63% male, median age 13 [IQR 11-16]). Ninety-six patients (69%) had no pMR perianal disease (pMR-), despite 13/96 (14%) having perianal symptoms and 26/96 (27%) with inflamed (n=6) or non-inflamed (n=14) tags or fissures (n=6). Of the 43 (31%) with pMR+ perianal disease, 27/43 (63%) were asymptomatic (ASx) and 17/43 (40%) had a normal exam. pMR+/ASx patients had physical exam findings that included inflamed (n=4) or non-inflamed (n=5) tags, fissures (n=1), and draining fistula (n=1). Compared to pMR-/ASx, pMR+/ASx patients had a relative risk of 1.40 [95% CI 1.18-1.68] and 1.32 [95% CI 1.17-1.52] of starting a biologic at 6 and 12 months, respectively. For those on biologics for initial maintenance therapy, less anti-TNF was used for pMR+/ASx (n=16/21, 76% of patients on biologics) vs. pMR+/Sx (n=14/14, 100% of patients on biologics). pMR+/Sx needed the most and earlier perianal surgery, but pMR+/ASx also had higher rates and faster time to perianal surgery than pMR-/ASx (p=0.02, Figure 1). Perianal side branch fistula was a significant predictor of perianal surgery (OR 107.6, [95% CI 16.9-2178] p<0.0001). Conclusion The majority of pediatric patients with perianal CD identified on pMR had no perianal symptoms and a normal exam. Even with perianal disease being subclinical, these patients needed more and earlier perianal surgery compared to those with negative pMR. Furthermore, side branch fistula on imaging was a significant predictor of needing perianal surgery. Baseline imaging was also helpful for demonstrating the absence of deeper perianal disease in a quarter of patients who did have perianal symptoms and tags/fissures. References 1.Atia O, Asayag N, Focht G, et al. Perianal Crohn’s Disease Is Associated With Poor Disease Outcome: A Nationwide Study From the epiIIRN Cohort. Clin Gastroenterol Hepatol. 2022;20(3):e484-e495. doi:10.1016/j.cgh.2021.04.007 2.de Zoeten EF, Pasternak BA, Mattei P, Kramer RE, Kader HA. Diagnosis and treatment of perianal Crohn disease: NASPGHAN clinical report and consensus statement. J Pediatr Gastroenterol Nutr. 2013;57(3):401-412. doi:10.1097/MPG.0b013e3182a025ee 3.Chidi VN, Schwartz DA. Imaging of perianal fistulizing Crohn's disease. Expert Rev Gastroenterol Hepatol. 2015;9(6):797-806. doi:10.1586/17474124.2015.1031110

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.192

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 head0.009
GPT teacher head0.280
Teacher spread0.270 · 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.

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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