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- Title
Imaging prediction of nonalcoholic steatohepatitis using computed tomography texture analysis.
- Authors
Naganawa, Shotaro; Enooku, Kenichiro; Tateishi, Ryosuke; Akai, Hiroyuki; Yasaka, Koichiro; Shibahara, Junji; Ushiku, Tetsuo; Abe, Osamu; Ohtomo, Kuni; Kiryu, Shigeru
- Abstract
<bold>Objectives: </bold>To determine if texture analysis of non-contrast-enhanced CT (NECT) images is able to predict nonalcoholic steatohepatitis (NASH).<bold>Methods: </bold>NECT images from 88 patients who underwent a liver biopsy for the diagnosis of suspected NASH were assessed and texture feature parameters were obtained without and with filtration. The patient population was divided into a predictive learning dataset and a validation dataset, and further divided into groups according to the prediction of liver fibrosis as assessed by hyaluronic acid levels. The reference standard was the histological result of a liver biopsy. A predictive model for NASH was developed using parameters derived from the learning dataset that demonstrated areas under the receiver operating characteristic curve (AUC) of >0.65. The resulting model was then applied to the validation dataset.<bold>Results: </bold>In patients without suspected fibrosis, the texture parameter mean without filter and skewness with a 2-mm filter were selected for the NASH prediction model. The AUC of the predictive model for the validation dataset was 0.94 and the accuracy was 94%. In patients with suspicion of fibrosis, the mean without filtration and kurtosis with a 4-mm filter were selected for the NASH prediction model. The AUC for the validation dataset was 0.60 and the accuracy was 42%.<bold>Conclusions: </bold>In patients without suspicion of fibrosis, NECT texture analysis effectively predicted NASH.<bold>Key Points: </bold>• In patients without suspicion of fibrosis, NECT texture analysis effectively predicted NASH. • The mean without filtration and skewness with a 2-mm filter were modest predictors of NASH in patients without suspicion of liver fibrosis. • Hepatic fibrosis masks the characteristic texture features of NASH.
- Subjects
FATTY liver; COMPUTED tomography; TEXTURE analysis (Image processing); PATTERN perception; RADIOMICROMETER
- Publication
European Radiology, 2018, Vol 28, Issue 7, p3050
- ISSN
0938-7994
- Publication type
journal article
- DOI
10.1007/s00330-017-5270-5