BACKGROUND: An accurate diagnosis of pancreatic fibrosis is clinically important and may have potential for staging chronic pancreatitis. The aim of this study was to diagnose the grade of pancreatic fibrosis through a quantitative analysis of endoscopic ultrasound elastography (EUS-EG). METHODS: From September 2004 to October 2010, 58 consecutive patients examined by EUS-EG for both pancreatic tumors and their upstream pancreas before pancreatectomy were enrolled. Preoperative EUS-EG images in the upstream pancreas were statistically quantified, and the results were retrospectively compared with postoperative histological fibrosis in the same area. For the quantification of EUS-EG images, 4 parameters (mean, standard deviation, skewness, and kurtosis) were calculated using novel software. Histological fibrosis was graded into 4 categories (normal, mild fibrosis, marked fibrosis, and severe fibrosis) according to a previously reported scoring system. RESULTS: The fibrosis grade in the upstream pancreas was normal in 24 patients, mild fibrosis in 19, marked fibrosis in 6, and severe fibrosis in 9. Fibrosis grade was significantly correlated with all 4 quantification parameters (mean r = -0.75, standard deviation r = -0.54, skewness r = 0.69, kurtosis r = 0.67). According to the receiver operating characteristic analysis, the mean was the most useful parameter for diagnosing pancreatic fibrosis. Using the mean, the area under the ROC curves for the diagnosis of mild or higher-grade fibrosis, marked or higher-grade fibrosis and severe fibrosis were 0.90, 0.90, and 0.90, respectively. CONCLUSIONS: An accurate diagnosis of pancreatic fibrosis may be possible by analyzing EUS-EG images.
BACKGROUND: An accurate diagnosis of pancreatic fibrosis is clinically important and may have potential for staging chronic pancreatitis. The aim of this study was to diagnose the grade of pancreatic fibrosis through a quantitative analysis of endoscopic ultrasound elastography (EUS-EG). METHODS: From September 2004 to October 2010, 58 consecutive patients examined by EUS-EG for both pancreatic tumors and their upstream pancreas before pancreatectomy were enrolled. Preoperative EUS-EG images in the upstream pancreas were statistically quantified, and the results were retrospectively compared with postoperative histological fibrosis in the same area. For the quantification of EUS-EG images, 4 parameters (mean, standard deviation, skewness, and kurtosis) were calculated using novel software. Histological fibrosis was graded into 4 categories (normal, mild fibrosis, marked fibrosis, and severe fibrosis) according to a previously reported scoring system. RESULTS: The fibrosis grade in the upstream pancreas was normal in 24 patients, mild fibrosis in 19, marked fibrosis in 6, and severe fibrosis in 9. Fibrosis grade was significantly correlated with all 4 quantification parameters (mean r = -0.75, standard deviation r = -0.54, skewness r = 0.69, kurtosis r = 0.67). According to the receiver operating characteristic analysis, the mean was the most useful parameter for diagnosing pancreatic fibrosis. Using the mean, the area under the ROC curves for the diagnosis of mild or higher-grade fibrosis, marked or higher-grade fibrosis and severe fibrosis were 0.90, 0.90, and 0.90, respectively. CONCLUSIONS: An accurate diagnosis of pancreatic fibrosis may be possible by analyzing EUS-EG images.
Authors: M B Wallace; V L Durkalski; J Vaughan; Y Y Palesch; E D Libby; P S Jowell; N J Nickl; S M Schutz; J W Leung; P B Cotton Journal: Gut Date: 2001-07 Impact factor: 23.059
Authors: Adrian Săftoiu; Peter Vilmann; Florin Gorunescu; Jan Janssen; Michael Hocke; Michael Larsen; Julio Iglesias-Garcia; Paolo Arcidiacono; Uwe Will; Marc Giovannini; Cristoph F Dietrich; Roald Havre; Cristian Gheorghe; Colin McKay; Dan Ionuţ Gheonea; Tudorel Ciurea Journal: Clin Gastroenterol Hepatol Date: 2011-10-01 Impact factor: 11.382
Authors: A V Sahai; M Zimmerman; L Aabakken; P R Tarnasky; J T Cunningham; A van Velse; R H Hawes; B J Hoffman Journal: Gastrointest Endosc Date: 1998-07 Impact factor: 9.427
Authors: André Kheng Ho Chong; Robert H Hawes; Brenda J Hoffman; David B Adams; David N Lewin; Joseph Romagnuolo Journal: Gastrointest Endosc Date: 2007-05 Impact factor: 9.427
Authors: Xin-Wu Cui; Jian-Min Chang; Quan-Cheng Kan; Liliana Chiorean; Andre Ignee; Christoph F Dietrich Journal: World J Gastroenterol Date: 2015-12-21 Impact factor: 5.742
Authors: J Enrique Domínguez-Muñoz; Jose Lariño-Noia; Ana Alvarez-Castro; Laura Nieto; Santiago Lojo; Saul Leal; Daniel de la Iglesia-Garcia; Julio Iglesias-Garcia Journal: United European Gastroenterol J Date: 2020-06-23 Impact factor: 4.623
Authors: Christopher E Forsmark; Dana K Andersen; John T Farrar; Megan Golden; Aida Habtezion; Sohail Z Husain; Liang Li; Julia Mayerle; Stephen J Pandol; Aliye Uc; Zixi Zhu; Dhiraj Yadav Journal: Pancreas Date: 2018 Nov/Dec Impact factor: 3.327