Acoustic radiation force impulse (ARFI) ultrasound imaging of pancreatic cystic lesions

M. D'Onofrio, A. Gallotti, R. Salvia, P. Capelli, R. Pozzi Mucelli

Research output: Contribution to journalArticle

Abstract

Purpose: To evaluate the ARFI ultrasound imaging with Virtual Touch tissue quantification in studying pancreatic cystic lesions, compared with phantom fluid models. Materials and methods: Different phantom fluids at different viscosity or density (water, iodinate contrast agent, and oil) were evaluated by two independent operators. From September to December 2008, 23 pancreatic cystic lesions were prospectively studied. All lesions were pathologically confirmed. Results: Non-numerical values on water and numerical values on other phantoms were obtained. Inter-observer evaluation revealed a perfect correlation (rs = 1.00; p <0.0001) between all measurements achieved by both operators per each balloon and fluid. Among the pancreatic cystic lesions, 14 mucinous cystadenomas, 4 pseudocysts, 3 intraductal papillary-mucinous neoplasms and 2 serous cystadenomas were studied. The values obtained ranged from XXXX/0-4,85 m/s in mucinous cystadenomas, from XXXX/0-3,11 m/s in pseudocysts, from XXXX/0-4,57 m/s in intraductal papillary-mucinous neoplasms. In serous cystadenomas all values measured were XXXX/0 m/s. Diagnostic accuracy in benign and non-benign differentiation of pancreatic cystic lesions was 78%. Conclusions: Virtual Touch tissue quantification can be applied in the analysis of fluids and is potentially able to differentiate more complex (mucinous) from simple (serous) content in studying pancreatic cystic lesions.

Original languageEnglish
Pages (from-to)241-244
Number of pages4
JournalEuropean Journal of Radiology
Volume80
Issue number2
DOIs
Publication statusPublished - Nov 2011

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Keywords

  • ARFI ultrasound imaging
  • IPMN
  • Mucinous cystadenoma
  • Pancreatic cystic lesions
  • Phantoms
  • Virtual Touch tissue quantification

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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