EUS-through-the-needle microbiopsy forceps in pancreatic cystic lesions: A systematic review

Vasile Daniel Balaban1, Irina M Cazacu2, Larisa Pinte3

  • 1Internal Medicine and Gastroenterology Clinic, "Carol Davila" University of Medicine and Pharmacy, Craiova; Department of Gastroenterology, "Dr. Carol Davila" Central Military Emergency University Hospital, Bucharest, Romania.

Insights

Endoscopic ultrasound-guided micro forceps biopsy (MFB) is a safe and effective method for diagnosing pancreatic cystic lesions (PCLs). This technique shows high technical success and good diagnostic accuracy for PCLs.

Area of Science:

  • Gastroenterology
  • Endoscopic Ultrasound
  • Pancreatic Pathology

Background:

  • Pancreatic cystic lesions (PCLs) pose diagnostic challenges in clinical practice.
  • Endoscopic ultrasound (EUS) is a key imaging modality for PCL evaluation.
  • Sampling PCLs can be difficult, necessitating advanced techniques.

Purpose of the Study:

  • To systematically review the technical aspects, safety, and efficacy of EUS-guided through-the-needle micro forceps biopsy (MFB) for PCLs.
  • To evaluate the performance of MFB in tissue acquisition and diagnosis of PCLs.
  • To assess the safety profile of EUS-guided MFB in PCL sampling.

Main Methods:

  • Systematic literature search of PubMed, Embase, and Web of Science databases (September 2019).
  • Inclusion of nine studies with 463 patients, excluding case reports and series with <10 patients.
  • Analysis of technical success, tissue acquisition yield, diagnostic accuracy, and adverse events.

Main Results:

  • High technical success rate of 98.5% for EUS-guided MFB.
  • Tissue acquisition yield of 88.2% and diagnostic accuracy of 68.6%.
  • Adverse events reported in 9.7% of cases, indicating a favorable safety profile.

Conclusions:

  • EUS-guided MFB is a technically feasible and safe procedure for sampling PCLs.
  • The technique demonstrates a high diagnostic yield, aiding in the management of PCLs.
  • MFB represents a valuable tool for improving the diagnostic accuracy of PCLs via EUS.