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All patients underwent double contrast\u2010enhanced MRI, with histopathology\u2010based staging of fibrosis obtained within 12 months of imaging. The MaZda software program was used to compute 279 texture parameters for each image. A statistical regularization technique, generalized linear model (GLM)\u2010path, was used to develop a model based on texture features for dichotomous classification of fibrosis category (F \u22642 vs. F \u22653) of the 68 patients, with histology as the reference standard. The model's performance was assessed and cross\u2010validated. There was no additional validation performed on an independent cohort.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results:<\/jats:title><jats:p>Cross\u2010validated sensitivity, specificity, and total accuracy of the texture feature model in classifying fibrosis were 91.9%, 83.9%, and 88.2%, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion:<\/jats:title><jats:p>This study shows proof of concept that accurate, noninvasive classification of liver fibrosis is possible by applying quantitative texture analysis to double contrast\u2010enhanced MRI. Further studies are needed in independent cohorts of subjects. J. Magn. Reson. Imaging 2012;36:1154\u20131161. \u00a9 2012 Wiley Periodicals, Inc.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.23759","type":"journal-article","created":{"date-parts":[[2012,8,1]],"date-time":"2012-08-01T03:14:03Z","timestamp":1343790843000},"page":"1154-1161","source":"Crossref","is-referenced-by-count":50,"title":["Noninvasive classification of hepatic fibrosis based on texture parameters from double contrast\u2010enhanced magnetic resonance images"],"prefix":"10.1002","volume":"36","author":[{"given":"Gautam","family":"Bahl","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irene","family":"Cruite","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tanya","family":"Wolfson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anthony C.","family":"Gamst","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie M.","family":"Collins","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alyssa D.","family":"Chavez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatma","family":"Barakat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tarek","family":"Hassanein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claude B.","family":"Sirlin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2012,7,31]]},"reference":[{"key":"e_1_2_5_2_2","first-page":"703","article-title":"Trends in mortality from cirrhosis and alcoholism\u2014United States, 1945\u20131983","volume":"35","year":"1986","journal-title":"MMWR Morb Mortal Wkly Rep"},{"key":"e_1_2_5_3_2","doi-asserted-by":"publisher","DOI":"10.1373\/clinchem.2004.035899"},{"key":"e_1_2_5_4_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1572-0241.2004.30110.x"},{"key":"e_1_2_5_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1089-3261(02)00030-2"},{"key":"e_1_2_5_6_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.199.1.8633176"},{"key":"e_1_2_5_7_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2141.1995.tb08412.x"},{"key":"e_1_2_5_8_2","doi-asserted-by":"publisher","DOI":"10.1136\/gut.15.10.799"},{"key":"e_1_2_5_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF01308607"},{"key":"e_1_2_5_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/hep.510230522"},{"key":"e_1_2_5_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(86)90883-4"},{"key":"e_1_2_5_12_2","doi-asserted-by":"publisher","DOI":"10.1136\/jcp.48.10.933"},{"key":"e_1_2_5_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF01393359"},{"key":"e_1_2_5_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/0016-5085(78)90364-5"},{"key":"e_1_2_5_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0016-5107(96)70192-X"},{"key":"e_1_2_5_16_2","doi-asserted-by":"publisher","DOI":"10.1159\/000071293"},{"key":"e_1_2_5_17_2","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v5.i4.301"},{"key":"e_1_2_5_18_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2292021128"},{"key":"e_1_2_5_19_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2243011495"},{"key":"e_1_2_5_20_2","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.173.3.10470885"},{"key":"e_1_2_5_21_2","unstructured":"MaterkaA StrzeleckiM.Texture analysis methods\u2014a review. 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