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Texture analysis of the liver at MDCT for assessing hepatic fibrosis

Overview of attention for article published in Abdominal Radiology, March 2017
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Title
Texture analysis of the liver at MDCT for assessing hepatic fibrosis
Published in
Abdominal Radiology, March 2017
DOI 10.1007/s00261-017-1096-5
Pubmed ID
Authors

Meghan G. Lubner, Kyle Malecki, John Kloke, Balaji Ganeshan, Perry J. Pickhardt

Abstract

To evaluate CT texture analysis (CTTA) for staging of hepatic fibrosis (stages F0-F4) METHODS: Quantitative texture analysis (QTA) of the liver was performed on abdominal MDCT scans using commercially available software (TexRAD), which uses a filtration-histogram statistic-based technique. Single-slice ROI measurements of the total liver, Couinaud segments IV-VIII, and segments I-III were obtained. CTTA parameters were correlated against fibrosis stage (F0-F4), with biopsy performed within one year for all cases with intermediate fibrosis (F1-F3). The study cohort consisted of 289 adults (158M/131W; mean age, 51 years), including healthy controls (F0, n = 77), and patients with increasing stages of fibrosis (F1, n = 42; F2 n = 37; F3 n = 53; F4 n = 80). Mean gray-level intensity increased with fibrosis stage, demonstrating an ROC AUC of 0.78 at medium filtration for F0 vs F1-4, with sensitivity and specificity of 74% and 74% at cutoff 0.18. For significant fibrosis (≥F2), mean showed AUCs ranging from 0.71-0.73 across medium- and coarse- filtered textures with sensitivity and specificity of 71% and 68% at cutoff of 0.3, with similar performance also observed for advanced fibrosis (≥F3). Entropy showed a similar trend. Conversely, kurtosis and skewness decreased with increasing fibrosis, particularly in cirrhotic patients. For cirrhosis (≥F4), kurtosis and skewness showed AUCs of 0.86 and 0.87, respectively, at coarse-filtered scale, with skewness showing a sensitivity and specificity of 84% and 75% at cutoff of 1.3. CTTA may be helpful in detecting the presence of hepatic fibrosis and discriminating between stages of fibrosis, particularly at advanced levels.

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Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 5 13%
Student > Postgraduate 4 10%
Student > Master 4 10%
Other 3 8%
Other 8 20%
Unknown 9 23%
Readers by discipline Count As %
Medicine and Dentistry 19 48%
Engineering 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 1 3%
Agricultural and Biological Sciences 1 3%
Other 4 10%
Unknown 9 23%