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Image Search Results
Journal: World Journal of Gastroenterology : WJG
Article Title: Is it better to use two elastographic methods for liver fibrosis assessment?
doi: 10.3748/wjg.v17.i33.3824
Figure Lengend Snippet: Liver stiffness measurements by means of transient elastography (A) and acoustic radiation force impulse elastography (B) for various stages of fibrosis.
Article Snippet:
Techniques:
Journal: World Journal of Gastroenterology : WJG
Article Title: Is it better to use two elastographic methods for liver fibrosis assessment?
doi: 10.3748/wjg.v17.i33.3824
Figure Lengend Snippet: Predictive value of transient elastography and acoustic radiation force impulse alone, for F ≥ 2 and F = 4 (%)
Article Snippet:
Techniques:
Journal: World Journal of Gastroenterology : WJG
Article Title: Is it better to use two elastographic methods for liver fibrosis assessment?
doi: 10.3748/wjg.v17.i33.3824
Figure Lengend Snippet: Predictive value of transient elastography and acoustic radiation force impulse in combination for F ≥ 2 and F = 4 (%)
Article Snippet:
Techniques:
Journal: World Journal of Gastroenterology
Article Title: Ultrasound elastographic techniques in focal liver lesions
doi: 10.3748/wjg.v22.i9.2647
Figure Lengend Snippet: Summary of the Sonoelastographic techniques and the studies that investigate their role in the assessment of focal liver lesions
Article Snippet: ,
Techniques:
Journal: Clinical and Translational Gastroenterology
Article Title: Development of a Simple Noninvasive Model to Predict Significant Fibrosis in Patients with Chronic Hepatitis B: Combination of Ultrasound Elastography, Serum Biomarkers, and Individual Characteristics
doi: 10.1038/ctg.2017.11
Figure Lengend Snippet: Baseline characteristics of the 345 patients with CHB at the time of liver biopsy
Article Snippet: It is concluded that both methods show comparable performance for detecting significant fibrosis and cirrhosis., Our study built the model based on the
Techniques: Biomarker Discovery
Journal: Clinical and Translational Gastroenterology
Article Title: Development of a Simple Noninvasive Model to Predict Significant Fibrosis in Patients with Chronic Hepatitis B: Combination of Ultrasound Elastography, Serum Biomarkers, and Individual Characteristics
doi: 10.1038/ctg.2017.11
Figure Lengend Snippet: Variables associated with the presence of significant fibrosis (stages 2–4) in the estimation group (218 patients) by univariate and multivariate analyses
Article Snippet: It is concluded that both methods show comparable performance for detecting significant fibrosis and cirrhosis., Our study built the model based on the
Techniques:
Journal: Clinical and Translational Gastroenterology
Article Title: Development of a Simple Noninvasive Model to Predict Significant Fibrosis in Patients with Chronic Hepatitis B: Combination of Ultrasound Elastography, Serum Biomarkers, and Individual Characteristics
doi: 10.1038/ctg.2017.11
Figure Lengend Snippet: AUROCs of APRI, ARFI, and the proposed model for the diagnosis of significant fibrosis. ( a ) AUROCs in the estimation group and ( b ) AUROCs in the validation group. APRI, aspartate aminotransferase-to-platelet ratio index; ARFI, acoustic radiation force impulse imaging; AUROC, area under the receiver operating characteristic curve; PLT, peripheral platelet count.
Article Snippet: It is concluded that both methods show comparable performance for detecting significant fibrosis and cirrhosis., Our study built the model based on the
Techniques: Biomarker Discovery, Imaging
Journal:
Article Title: An In Vitro Assessment of Acoustic Radiation Force Impulse Imaging for Visualizing Cardiac Radiofrequency Ablation Lesions
doi: 10.1111/j.1540-8167.2009.01664.x
Figure Lengend Snippet: (a) B-mode image and (b) digital image of a RFA lesion sliced along the 30° imaging plane. Image of maximum ARFI-induced displacement overlaid onto: (c) the B-mode image and (d) the digital photograph of the lesion cross-section. Depth normalized maximum ARFI-induced displacement data overlaid onto: (e) the B-mode image and (f) the digital image of the lesion cross-section. The color bar units in (c) and (d) are μm displacement away from the transducer; in plates (e) and (f) the colors represent the fraction of the maximum displacement at a given depth.
Article Snippet: Custom transducer/system interfaces and beam sequences were developed so that B-mode and
Techniques: Imaging
Journal:
Article Title: An In Vitro Assessment of Acoustic Radiation Force Impulse Imaging for Visualizing Cardiac Radiofrequency Ablation Lesions
doi: 10.1111/j.1540-8167.2009.01664.x
Figure Lengend Snippet: Examples of raw and normalized ARFI images and of the human and machine determined lesion boundaries. Each row contains images for a separate lesion. Column (a) is the maximum ARFI-induced displacement image overlaid onto the photograph of the lesion cross-section. Column (b) is the depth normalized ARFI image overlaid onto the cross-section photograph. Column (c) shows the lesion boundary traces as determined by a manual segmentation based on the digital image (black) and the automatic ARFI imaging segmentations based on the optimal (blue) and standardized (green) thresholds. Lesions 1 and 2 were imaged with the custom 128-element AcuNav™, while lesion 3 was imaged with a commercially available 64-element AcuNav™. The automatic threshold traces for lesion 3 are identical and overlap. The color bar units in column (a) are μm displacement away from transducer; in column (b) the colors represent the fraction of the maximum displacement at a given depth.
Article Snippet: Custom transducer/system interfaces and beam sequences were developed so that B-mode and
Techniques: Imaging