Efficacy of quantitative analysis for differentiating pancreatic solid lesions using contrast-enhanced endoscopic ultrasonography
The bulletin of the Yamaguchi Medical School Volume 68 Issue 1-2
Page 11-20
published_at 2021
Title
Efficacy of quantitative analysis for differentiating pancreatic solid lesions using contrast-enhanced endoscopic ultrasonography
Abstract
Aim: To evaluate the efficacy of quantitative analysis for differentiating pancreatic ductal adenocarcinoma (PDAC) and inflammatory pancreatic masses (IPM) using time intensity curve (TIC) analysis based on contrast-enhanced endoscopic ultrasonography (CE-EUS). Methods: We reviewed 89 patients who had undergone CE-EUS for pancreatic solid lesions at our department between August 2012 and January 2016. CE-EUS images were recorded for 2 minutes after injection of the contrast agent. The diagnostic abilities of the enhanced patterns and TIC analysis were assessed. Results: The enhanced patterns of PDAC were mainly hypovascular and heterogeneous (66/77), while IPM were mainly isovascular and homogeneous (6/12). In PDAC, sensitivity was 77.9%, specificity 83.3%, and accuracy was 78.7%. In TIC analysis, the intensity reduction rate was significantly different at 10 and 30 seconds after peak intensity. After creating a cutoff value (49%) based on the receiver operating characteristic curve for the intensity reduction rate after 30 seconds, diagnosing PDAC with TIC analysis had a sensitivity of 67.5%, specificity of 100%, and accuracy of 71.9%. Combining enhanced pattern analysis with TIC analysis had a sensitivity of 90.9%, pecificity of 83.3%, and accuracy of 89.9%. Conclusion: Combining TIC analysis with CE-EUS improved diagnostic accuracy when differentiating between PDAC and IPM.
Creators
Yasuda Mayumi
Creators
Kaino Seiji
Creators
Fujimoto Yuko
Creators
Harima Hirofumi
Source Identifiers
[PISSN] 0513-1812
[NCID] AA00594272
Creator Keywords
contrast-enhanced endoscopic ultrasonography
pancreatic ductal adenocarcinoma
inflammatory pancreatic mass
time intensity curve analysis
quantitative analysis
Languages
eng
Resource Type
departmental bulletin paper
Publishers
Yamaguchi University School of Medicine
Date Issued
2021
File Version
Version of Record
Access Rights
open access
Schools
大学院医学系研究科(医学)