Feasibility study of ultrasonic fatty liver biopsy: Texture vs. attenuation and backscatter

Gaitini, Diana; Baruch, Yaacov; Ghersin, Eduard; Veitsman, Ella; Kerner, H.; Shalem, B.; Yaniv, G.; Sarfaty, Chen; Azhari, Haim

doi:10.1016/j.ultrasmedbio.2004.08.001

Cited by 81 publications

(102 citation statements)

References 17 publications

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“…[26][27][28][29][30]36 Moreover, these two B-mode ultrasound criteria were included in our ultrasound score to meet the requirement of selecting the most reliable, feasible and practical B-mode ultrasound parameters that could be evaluated on standardized images obtained at all site locations included in this longitudinal population study.…”

Section: Statisticsmentioning

confidence: 99%

“…1,10,15,[19][20][21][22] Among these criteria, deep-beam attenuation has presented better performance for diagnosing fatty liver disease. [25][26][27][28][29][30][31] However, conventional B-mode ultrasonography presents limitations, including subjective evaluation and operator dependency. Therefore, inclusion of a new biometric parameter, i.e.…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic accuracy of a noninvasive hepatic ultrasound score for non-alcoholic fatty liver disease (NAFLD) in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

et al. 2015

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CONTEXT AND OBJECTIVE: Noninvasive strategies for evaluating non-alcoholic fatty liver disease (NAFLD) have been investigated over the last few decades. Our aim was to evaluate the diagnostic accuracy of a new hepatic ultrasound score for NAFLD in the ELSA-Brasil study. DESIGN AND SETTINGS: Diagnostic accuracy study conducted in the ELSA center, in the hospital of a public university. METHODS: Among the 15,105 participants of the ELSA study who were evaluated for NAFLD, 195 individuals were included in this sub-study. Hepatic ultrasound was performed (deep beam attenuation, hepatorenal index and anteroposterior diameter of the right hepatic lobe) and compared with the hepatic steatosis findings from 64-channel high-resolution computed tomography (CT). We also evaluated two clinical indices relating to NAFLD: the fatty liver index (FLI) and the hepatic steatosis index (HSI). RESULTS: Among the 195 participants, the NAFLD frequency was 34.4%. High body mass index, high waist circumference, diabetes and hypertriglyceridemia were associated with high hepatic attenuation and large anteroposterior diameter of the right hepatic lobe, but not with the hepatorenal index. The hepatic ultrasound score, based on hepatic attenuation and the anteroposterior diameter of the right hepatic lobe, presented the best performance for NAFLD screening at the cutoff point

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Section: Statisticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Diagnostic accuracy of a noninvasive hepatic ultrasound score for non-alcoholic fatty liver disease (NAFLD) in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

et al. 2015

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“…Several strategies [7]- [12] have been proposed to detect and quantify HS. In this paper, a multifrequency approach is adopted, where a monogenic decomposition (MD) is used for feature extraction.…”

Section: H Epatic Steatosis (Hs) Is a Liver Disease That Occurs Whenmentioning

confidence: 99%

“…In this paper, a multifrequency approach is adopted, where a monogenic decomposition (MD) is used for feature extraction. The performance of the proposed algorithm is assessed by several feature sets described in the literature [7], [8], [11]. Bayes classifier is used in the binary classification and the underlying Bayes factor (BF), computed in a local basis, and is overlapped on the US image to provide local evidence of the disease.…”

Section: H Epatic Steatosis (Hs) Is a Liver Disease That Occurs Whenmentioning

confidence: 99%

“…5) (Acoustic attenuation coefficient [7])-slope of the linear regression of the mean image intensity along the depth direction (rows). Automatic feature selection from sets A, B, and C was performed, using the stepwise regression analysis [20] (criterion to add: p < 0.05; to remove: p > 0.1) to minimize the peaking phenomenon, also known as overfitting.…”

Section: A Preprocessing and Feature Selectionmentioning

confidence: 99%

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An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection

Ribeiro

Marinho

Sanches

2014

IEEE J. Biomed. Health Inform.

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Abstract-Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. In this paper, a new computer-aided diagnosis (CAD) system for steatosis classification, in a local and global basis, is presented. A Bayes factor is computed from objective ultrasound textural features extracted from the liver parenchyma. The goal is to develop a CAD screening tool to help in the steatosis detection. Results showed an accuracy of 93.33%, with a sensitivity of 94.59% and specificity of 92.11%, using the Bayes classifier. The proposed CAD system is a suitable graphical display for steatosis classification.

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