ArticleAbdominal radiology (New York)2025
Ultrasound-guided percutaneous core-needle biopsy for the diagnosis of type 1 autoimmune pancreatitis.
Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- A comprehensive review of IgG4-related pancreatitis: pathogenesis, diagnosis, and therapeutic advances.Frontiers in immunology · 2025Review
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5 authors.
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Abstract
purposeThis study aimed to investigate the usefulness of ultrasound-guided core-needle biopsy (US-CNB) for diagnosing type 1 AIP and evaluate the radiological outcomes following steroid therapy. MATERIALS AND
methodsFrom January 2017 to June 2023, patients with pathology results containing "lymphoplasmacytic infiltration" and "fibrosis" were enrolled. The detection rate of level 1 histology by International Consensus Diagnostic Criteria (ICDC) and the contribution of US-CNB were assessed. The radiological responses to steroid therapy following biopsy were assessed and classified.
resultsSixty-one patients were included, 56 of whom ended up with a diagnosis of type 1 AIP. Twenty-six (46.4%, 26/56) patients met the level 1 criteria of type 1 AIP. Of the 61 enrolled patients, 27 (44.3%) were diagnosed with definitive type 1 AIP without evidence from histology. The addition of pathologic evaluation of the pancreas tissue collected by US-CNB improved the diagnostic rate of definitive type 1 AIP to 67.2% (44.3% vs. 67.2%, p = 0.017). Among the remaining 20 undiagnosed patients, 13 (21.3%) finally were diagnosed with definitive type 1 AIP, and 2 (3.3%) with probable type 1 AIP by a diagnostic steroid trial (67.2% vs. 91.8%, p = 0.001). At the 12-month follow-up, a favorable response was observed in 48 patients, a partial response in 5 patients, relapse in 1 patient and disease progression in 2 patients.
conclusionUS-CNB is an effective diagnostic method for type 1 AIP. A high remission rate of AIP was achieved with the addition of US-CNB to the diagnostic algorithm.
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