Using texture analyses of contrast enhanced CT to assess hepatic fibrosis

Daginawala, Naznin; Li, Baojun; Buch, Karen; Yu, HeiShun; Tischler, Brian; Qureshi, Muhammad M.; Soto, Jorge A.; Anderson, Stephan W.

doi:10.1016/j.ejrad.2015.12.009

Cited by 91 publications

(53 citation statements)

References 28 publications

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“…On US, B‐mode imaging and contrast‐enhanced US (CEUS) have been used. On CT, some studies have used unenhanced images, although most rely on contrast‐enhanced images for texture analysis . On MRI, several sequences have been investigated for texture analysis, including unenhanced T 1 ‐weighted, T 2 ‐weighted, and proton density‐weighted imaging .…”

Section: Texture Analysismentioning

confidence: 99%

Liver fibrosis: Review of current imaging and MRI quantification techniques

Petitclerc

Sebastiani

Gilbert

et al. 2016

Magnetic Resonance Imaging

177

127

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Section: Texture Analysismentioning

confidence: 99%

Liver fibrosis: Review of current imaging and MRI quantification techniques

Petitclerc

Sebastiani

Gilbert

et al. 2016

Magnetic Resonance Imaging

177

127

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“…Some non-oncologic applications are being evaluated, with several groups using texture analysis to assess emphysema and fibrosis in the lung [32,33]. One small series using CT texture analysis to evaluate hepatic fibrosis found that texture parameters showed some ability to discriminate between stages of fibrosis, but the results were not very convincing [34]. Like volumetric assessment and surface nodularity, this technique can be easily retrospectively applied to CT images.…”

Section: Introductionmentioning

confidence: 99%

Texture analysis of the liver at MDCT for assessing hepatic fibrosis

et al. 2017

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Abstract:Purpose: 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). Results:The study cohort consisted of 289 adults (158M/131W; mean age, 51 yrs), 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 of the pixel histogram 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 cut-off 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. Conclusion: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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“…In a group of patients with chronic liver disease and varying degrees of hepatic fibrosis, 19 different texture features demonstrated statistically significant differences for discriminating between hepatic fibrosis groupings, with the highest AUC values in the range of fair performance. 19 In a separate cohort of patients with intermediate-stage fibrosis, several texture features including mean gray level intensity, entropy, kurtosis, and skewness showed some promise in identifying and discriminating stage of fibrosis, particularly at advanced levels. 20 For detecting significant fibrosis, mean gray level intensity showed ROC AUCs REVIEW ranging from 0.71 to 0.73 (Table 1).…”

Section: Computed Tomographic Texture Analysis For Assessment Of Hepamentioning

confidence: 99%