作者
Adrian Săftoiu, 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
发表日期
2015/7/1
期刊
Gastrointestinal endoscopy
卷号
82
期号
1
页码范围
59-69
出版商
Mosby
简介
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 …
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A Săftoiu, P Vilmann, CF Dietrich, J Iglesias-Garcia… - Gastrointestinal endoscopy, 2015