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Record W4407285219 · doi:10.1093/jcag/gwae059.033

A33 DIAGNOSTIC YIELD AND QUALITY OF EUS-GUIDED LIVER BIOPSIES IN A 142-PATIENT COHORT - THE KELOWNA EXPERIENCE

2025· article· en· W4407285219 on OpenAlexaffabout
Fahd Jowhari, Shuet Fong Neong, Kyra B. Berg

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsMedicineCohortYield (engineering)General surgeryInternal medicinePhysics

Abstract

fetched live from OpenAlex

Abstract Background EUS-guided liver biopsy (EUS-LB) is a safe & effective technique, consistently yielding diagnostic accuracy with adequate tissue samples. However, most studies are limited by small sample sizes, leaving gaps in data. Despite growing international evidence, a comprehensive Canadian experience remains unreported. To address this, we present our institutional data on EUS-LB, emphasizing diagnostic yield, safety & procedural benefits. Aims To evaluate the diagnostic yield, safety & procedural efficacy of EUS-guided liver biopsies in a large cohort of patients from a Canadian healthcare setting. Methods This is a retrospective analysis of patients who underwent EUS-LB over a 4 year period. All procedures were performed with a linear echoendoscope using a 1-2 pass,selective-actuation,wet suction technique & a 19-G Franseen-tip needle using our own institutional protocol. All patients received either conscious or deep sedation. Specimen adequacy was assessed by a GI histopathologist evaluating key parameters including the number of complete portal tracts (CPT),length of longest intact core (LIC),total specimen length (TSL) & degree of fragmentation, using guideline specific cutoffs where applicable. Comprehensive demographic, clinical & procedural data were also collected for detailed analyses. Results A total of 142 consecutive patients underwent EUS-LB at Kelowna General Hospital, British Columbia, from April 2020 to October 2024. The median age was 62 years (IQR 52–70), with 109 women (77%) and 33 men (23%). The median BMI was 27 kg/m2 (IQR 24–32). The diagnostic yield was 99.3%, with all but one specimen being diagnostic. Adequate histological specimens were obtained in 136 patients (95.7%), and a conclusive diagnosis was reached in 141 patients (99.3%). The most common diagnosis was metabolic dysfunction-associated steatohepatitis (MASH) in 42 patients (29%), followed by drug-induced liver injury (14.5 %), autoimmune hepatitis (13.1%), and primary biliary cholangitis (PBC) (10.3%). At the time of this submission, detailed histopathologic analyses were available for a subset of patients. The median total specimen length (TSL) was 4.4 cm (IQR 3.3–5.2), the median number of complete portal tracts (CPTs) was 13 (IQR 11.5–23.5), and the median longest intact core was 1.3 cm (IQR 1.1–1.7). No major adverse events were observed. Conclusions Our study reinforces the evolving role of EUS-guided liver biopsy in liver diagnostics, demonstrating its safety, efficacy, and high diagnostic yield. This technique not only ensures procedural success but also enhances the autonomy of gastroenterologists, promoting more timely and integrated patient care. As the largest study of EUS-guided liver biopsies conducted in a Canadian healthcare setting, it addresses a critical gap in the literature and further validates the role of EUS-LB in modern hepatology practice. Gross intact core EUS-LB specimens collected in formalin. Funding Agencies None

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 score0.296
Threshold uncertainty score0.589

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.271
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
Published2025
Admission routes2
Has abstractyes

Explore more

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