Research
Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Quantitative contrast-enhanced harmonic EUS in differential diagnosis of focal pancreatic masses (with videos)

Research output: Contribution to journalJournal articleResearchpeer-review

  1. Computerized feedback during colonoscopy training leads to improved performance: a randomized trial

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Dynamic contrast-enhanced EUS for quantification of tumor perfusion in colonic cancer: a prospective cohort study

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. EUS targeting of vascular thrombosis: Risky business?

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Relationship between timing of endoscopy and mortality in patients with peptic ulcer bleeding: a nationwide cohort study

    Research output: Contribution to journalJournal articleResearchpeer-review

  1. Pitfalls of histopathological evaluation of EUS guided microbiopsies from pancreatic cystic neoplasms

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. What should be known prior to performing EUS exams? (Part II)

    Research output: Contribution to journalReviewResearchpeer-review

  3. The EFSUMB Guidelines and Recommendations for the Clinical Practice of Elastography in Non-Hepatic Applications: Update 2018

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. dredning, opfølgning og behandling af cyster i pancreas

    Research output: Contribution to journalJournal articleResearchpeer-review

  • Adrian Saftoiu
  • Peter Vilmann
  • Christoph F Dietrich
  • Julio Iglesias-Garcia
  • Michael Hocke
  • Andrada Seicean
  • Andre Ignee
  • Hazem Hassan
  • Costin Teodor Streba
  • Ana Maria Ioncică
  • Dan Ionuţ Gheonea
  • Tudorel Ciurea
View graph of relations

BACKGROUND: The role of EUS with contrast agents can be expanded through the use of time-intensity curve (TIC) analysis and computer-aided interpretation.

OBJECTIVE: To validate the use of parameters derived from TIC analysis in an artificial neural network (ANN) classification model designed to diagnose pancreatic carcinoma (PC) and chronic pancreatitis (CP).

SETTING: Prospective, multicenter, observational trial-endoscopy units from Romania, Denmark, Germany, and Spain.

PATIENTS: A total of 167 consecutive patients with PC or CP.

INTERVENTIONS: Contrast-enhanced harmonic EUS (CEH-EUS) and EUS-guided FNA (EUS-FNA), TIC analysis, and ANN processing.

MAIN OUTCOME MEASUREMENTS: Sensitivity, specificity, positive and negative predictive values (PPV, NPV) for EUS-FNA, CEH-EUS, and the ANN.

RESULTS: After excluding all of the recordings that did not meet the technical and procedural criteria, 112 cases of PC and 55 cases of CP were included. EUS-FNA was performed in 129 patients, and the diagnosis was confirmed by surgery (n = 15) or follow-up (n = 23) in the remaining cases. Its sensitivity and specificity were 84.82% and 100%, respectively, whereas the PPV and NPV were 100% and 76.63%, respectively. The sensitivity of real-time quantitative assessment of CEH-EUS was 87.5%, specificity 92.72%, PPV 96.07%, and NPV 78.46%. Peak enhancement, wash-in area under the curve, wash-in rate, and the wash-in perfusion index were significantly different between the groups. No significant differences were found between rise time, mean transit time, and time to peak. For the ANN, sensitivity was 94.64%, specificity 94.44%, PPV 97.24%, and NPV 89.47%.

LIMITATIONS: Only PC and CP lesions were included.

CONCLUSION: Parameters obtained through TIC analysis can differentiate between PC and CP cases and can be used in an automated computer-aided diagnostic system with good diagnostic results. (

CLINICAL TRIAL REGISTRATION NUMBER: NCT01315548.).

Original languageEnglish
JournalGastrointestinal Endoscopy
Volume82
Issue number1
Pages (from-to)59-69
Number of pages11
ISSN0016-5107
DOIs
Publication statusPublished - Jul 2015

ID: 45424759