Literature DB >> 15834922

Comparison of qualitative and quantitative measurements on unenhanced T1-weighted fat saturation MR images in predicting pancreatic pathology.

Benoît P Gallix1, Patrice M Bret, Mostafa Atri, Robin Lecesne, Caroline Reinhold.   

Abstract

PURPOSE: To evaluate the accuracy of signal intensity (SI) analysis on unenhanced fat-suppressed T1-weighted MR images in the diagnosis of pancreatic disease and to compare subjective interpretation with different quantitative measurements.
MATERIALS AND METHODS: The pancreas was evaluated in 159 patients (86 normal and 73 with pancreatic disease) with spoiled gradient echo (GRE) T1-weighted fat saturation MR images. The relative SI of the pancreas to liver and spleen was quantitatively measured using regions of interest (ROIs) and qualitatively assessed by two independent observers.
RESULTS: The mean values between a normal and an abnormal pancreas with pancreas-liver ratios of 0.14 +/- 0.37 vs. -0.32 +/- 0.24, respectively, and pancreas-spleen ratios of 0.89 +/- 0.55 vs. 0.02 +/- 0.43, respectively, were significantly different (P < 0.001). The pancreas-liver SI ratio was significantly better than the pancreas-spleen ratio throughout the disease group (area under the receiver operating characteristic (ROC) curve +/- SD; 0.92 +/- 0.02 for pancreas-liver vs. 0.86 +/- 0.03 for pancreas-spleen, P < 0.01), and after excluding cases of acute pancreatitis (0.96 +/- 0.02 for pancreas-liver vs. 0.89 +/- 0.03 for pancreas-spleen, P < 0.01). There was no statistically significant difference between quantitative and qualitative analysis (area under the ROC curve +/- SD; 0.93 +/- 0.02 vs. 0.93 +/- 0.02 for the entire disease group; excluding acute pancreatitis 0.96 +/- 0.02 vs 0.97 +/- 0.02) for the diagnosis of pancreatic disease when using liver as internal standard. The interobserver concordance was very good (kappa > 0.71). The sensitivity of visual liver comparison was 80% in the entire disease group and 91% after the cases of acute pancreatitis were excluded, while specificity was 93%.
CONCLUSION: The pancreas-liver ratio is the best quantitative means of distinguishing normal from abnormal pancreas. Visual observation by experienced observers (qualitative measurement) was just as accurate as quantitative measurement. Detection of pancreatic pathology can be made with high accuracy by visually comparing the SI of the pancreas with that of the normal liver.

Entities:  

Mesh:

Year:  2005        PMID: 15834922     DOI: 10.1002/jmri.20310

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

1.  Recognition of other organ involvement might assist in the differential diagnosis of IgG4-associated sclerosing cholangitis without apparent pancreatic involvement: report of two cases.

Authors:  Takeshi Nowatari; Akihiko Kobayashi; Kiyoshi Fukunaga; Tatsuya Oda; Ryoko Sasaki; Nobuhiro Ohkohchi
Journal:  Surg Today       Date:  2012-08-02       Impact factor: 2.549

2.  Assessment of acute obstructive pancreatitis by magnetic resonance imaging: Predicting the occurrence of pancreatic fistula following pancreatoduodenectomy.

Authors:  Zhenshan Shi; Xiumei Li; Yueming Li; Ruixiong You; Dairong Cao; Qunlin Chen; Kamisha Ramen; Vikash Sahadeo Loosa
Journal:  Mol Clin Oncol       Date:  2019-01-09

3.  Diffusion MRI of acute pancreatitis and comparison with normal individuals using ADC values.

Authors:  Stephen Thomas; Arda Kayhan; Hatice Lakadamyali; Aytekin Oto
Journal:  Emerg Radiol       Date:  2011-09-17

4.  Acute interstitial edematous pancreatitis: Findings on non-enhanced MR imaging.

Authors:  Xiao-Ming Zhang; Zhi-Song Feng; Qiong-Hui Zhao; Chun-Ming Xiao; Donald-G Mitchell; Jian Shu; Nan-Lin Zeng; Xiao-Xue Xu; Jun-Yang Lei; Xiao-Bing Tian
Journal:  World J Gastroenterol       Date:  2006-09-28       Impact factor: 5.742

5.  Prediction of post-operative pancreatic fistula in pancreaticoduodenectomy patients using pre-operative MRI: a pilot study.

Authors:  Zisun Kim; Min Joo Kim; Jung Hoon Kim; So Young Jin; Yong Bae Kim; Daekwan Seo; Dongho Choi; Kyung Yul Hur; Jae Joon Kim; Min Hyuk Lee; Chul Moon
Journal:  HPB (Oxford)       Date:  2009-05       Impact factor: 3.647

6.  T1 signal intensity ratio of the pancreas as an imaging biomarker for the staging of chronic pancreatitis.

Authors:  Temel Tirkes; Anil K Dasyam; Zarine K Shah; Evan L Fogel; Santhi Swaroop Vege; Liang Li; Shuang Li; Stephanie T Chang; Carlos A Farinas; Joseph R Grajo; Kareem Mawad; Naoki Takahashi; Sudhakar K Venkatesh; Ashley Wachsman; William E Fisher; Christopher E Forsmark; Phil A Hart; Stephen J Pandol; Walter G Park; Stephen K Van Den Eeden; Yunlong Yang; Mark Topazian; Dana K Andersen; Jose Serrano; Darwin L Conwell; Dhiraj Yadav
Journal:  Abdom Radiol (NY)       Date:  2022-07-20

7.  Reporting Standards for Chronic Pancreatitis by Using CT, MRI, and MR Cholangiopancreatography: The Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer.

Authors:  Temel Tirkes; Zarine K Shah; Naoki Takahashi; Joseph R Grajo; Stephanie T Chang; Sudhakar K Venkatesh; Darwin L Conwell; Evan L Fogel; Walter Park; Mark Topazian; Dhiraj Yadav; Anil K Dasyam
Journal:  Radiology       Date:  2018-10-16       Impact factor: 29.146

8.  Quantitative MRI of chronic pancreatitis: results from a multi-institutional prospective study, magnetic resonance imaging as a non-invasive method for assessment of pancreatic fibrosis (MINIMAP).

Authors:  Temel Tirkes; Dhiraj Yadav; Darwin L Conwell; Paul R Territo; Xuandong Zhao; Scott A Persohn; Anil K Dasyam; Zarine K Shah; Sudhakar K Venkatesh; Naoki Takahashi; Ashley Wachsman; Liang Li; Yan Li; Stephen J Pandol; Walter G Park; Santhi S Vege; Phil A Hart; Mark Topazian; Dana K Andersen; Evan L Fogel
Journal:  Abdom Radiol (NY)       Date:  2022-08-29

9.  Intraductal papillary mucinous neoplasm complicated with intraductal bleeding in a young woman mimicked a cystic solid pseudo-papillary tumor: a case report.

Authors:  Jianman Wu; Yin Lin; Jingwen Wu
Journal:  BMC Gastroenterol       Date:  2020-09-16       Impact factor: 3.067

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.