Intermittent endoscopic ultrasound guided fine-needle aspiration for the diagnosis of solid pancreatic lesions. A pilot study

Rev Esp Enferm Dig. 2022 Mar;114(3):146-150. doi: 10.17235/reed.2021.7845/2021.

Abstract

Background and purpose: endoscopic ultrasound guided fine-needle aspiration (EUS-FNA) is the method of choice for sampling pancreatic solid lesions. However, there is significant heterogeneity in terms of the technique used. Intermittent aspiration has not been evaluated in pancreatic solid lesions and could improve the diagnostic performance.

Methods: a single-blind, non-inferiority pilot study was performed. Patients with solid pancreatic lesions and an indication for EUS-FNA were prospectively included. Patients were randomly assigned to intermittent (IS) or continuous (CS) suction techniques. Diagnostic performance, cellularity, blood contamination and the number of passes required to reach a diagnosis were evaluated.

Main results: thirty-three patients were assigned to CS (16 patients) or IS (17 patients). Diagnostic performance was 87.5 % for CS and 94.1 % for IS (OR 2.29, 95 % CI: 0.19-27.99, p = 0.51). In the IS group, samples had a higher cellularity (OR 1.83, 95 % CI: 0.48-6.91, p = 0.37) and lower blood contamination (OR 0.38, 95 % CI: 0.09-1.54, p = 0.18). The number of passes required to reach a diagnosis was 2.12 for CS and 1.94 for IS (p = 0.64). Liquid cytology was obtained in 73.3 % of IS and 61.5 % of CS (OR 1.72, 95 % CI: 0.35-8.50).

Conclusions: the IS technique was not inferior to CS in terms of diagnostic accuracy in the evaluation of pancreatic solid lesions, with a tendency to obtain higher cellularity, lower blood contamination and the frequent presence of cell block.

Publication types

  • Randomized Controlled Trial

MeSH terms

  • Endoscopic Ultrasound-Guided Fine Needle Aspiration* / methods
  • Humans
  • Pancreas / diagnostic imaging
  • Pancreas / pathology
  • Pancreatic Neoplasms* / diagnostic imaging
  • Pancreatic Neoplasms* / pathology
  • Pilot Projects
  • Single-Blind Method