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Macroscopic versus rapid on-site evaluation for EUS-guided tissue acquisition of solid pancreatic masses: a systematic review, diagnostic test accuracy meta-analysis, and network meta-analysis

In brief

ROSE improved FNA accuracy, but showed no clear benefit with FNB

Across 31 reports, endoscopic ultrasound-guided sampling had 94% pooled sensitivity and nearly 100% specificity for diagnosing solid pancreatic masses. Rapid on-site cytology improved diagnostic accuracy in fine-needle aspiration studies, but not in fine-needle biopsy studies; comparisons were sparse, and a broader analysis found no clear advantage for any on-site method.

Journal
Frontiers in oncology (Q2)
Published
19 October 2026
Study design
Systematic review of cohort studies
Evidence level
Level 2, Moderate (CEBM 2a)
Authors
Huifang Xu, Jiongming He, Gong Chen, Biao Chen
PMID
42973725
DOI
10.3389/fonc.2026.1943706

Why clinicians should know about it

  • Picked for Pathology and Forensic Medicine (top studies of the week, 8 November 2026): Meta-analysis compares methods for pancreatic tissue diagnostic accuracy

Abstract

BACKGROUND: Endoscopic ultrasound-guided tissue acquisition (EUS-TA) is central to the pathological diagnosis of solid pancreatic masses, but the comparative value of rapid on-site cytologic evaluation (ROSE), macroscopic on-site evaluation (MOSE), and no on-site evaluation (NONE) may vary by needle type and remains uncertain. METHODS: We performed a PRISMA-DTA systematic review registered in PROSPERO (CRD420251241446). Potential cohort overlap and data dependency were assessed before quantitative synthesis. Diagnostic 2 × 2 data were synthesized with a bivariate binomial-normal random-effects model. Independent direct comparisons were pooled by random-effects meta-analysis for correct versus incorrect diagnosis, with complementary absolute differences in sensitivity and specificity. An exploratory three-node network meta-analysis (NMA) compared ROSE, MOSE, and NONE. RESULTS: Thirty-one eligible reports contributed 67 strategy-specific diagnostic datasets. After excluding 21 duplicate, nested, paired, or otherwise dependent datasets, 46 independent datasets representing 4,901 arm-level observations were included in the primary DTA. Pooled sensitivity was 0.94 (95% CI 0.92-0.95) and specificity was 1.00 (0.98-1.00); Deeks' asymmetry test was positive (P <0.001). In direct comparisons, ROSE improved composite diagnostic accuracy versus NONE in FNA studies (OR 5.56, 95% CI 1.76-17.62; k = 4), but not in FNB studies (OR 1.08, 0.42-2.79; k = 4); the FNA-versus-FNB interaction was exploratory (P = 0.012). MOSE versus NONE in FNB was uncertain (OR 1.31, 0.60-2.87; k = 4), as was MOSE versus ROSE (OR 1.53, 0.05-49.13; k = 3). The exploratory NMA did not identify a statistically clear difference for ROSE versus NONE (OR 1.67, 0.94-2.95), MOSE versus NONE (OR 1.89, 0.86-4.20), or MOSE versus ROSE (OR 1.14, 0.48-2.71). CONCLUSIONS: EUS-TA showed high overall diagnostic performance. ROSE may add value in FNA-era workflows, whereas a clear incremental benefit was not detected with FNB. MOSE remains a plausible resource-sparing strategy, but comparative estimates are imprecise. The NMA should be regarded as hypothesis-generating because of sparse comparisons, methodological heterogeneity, small-study effects, and low-to-very-low certainty. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD420251241446.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.