scholarly journals Acoustic radiation force beam sequence performance for detection and material characterization of atherosclerotic plaques: preclinical, ex vivo results

2013 ◽  
Vol 60 (12) ◽  
pp. 2471-2487 ◽  
Author(s):  
Russell H. Behler ◽  
Tomasz J. Czernuszewicz ◽  
Chih-da Wu ◽  
Timothy C. Nichols ◽  
Hongtu Zhu ◽  
...  
2009 ◽  
Vol 54 (13) ◽  
pp. 4089-4112 ◽  
Author(s):  
Bojan B Guzina ◽  
Kairat Tuleubekov ◽  
Dalong Liu ◽  
Emad S Ebbini

2005 ◽  
Vol 27 (2) ◽  
pp. 75-88 ◽  
Author(s):  
Mark L. Palmeri ◽  
Kristin D. Frinkley ◽  
Liang Zhai ◽  
Marcia Gottfried ◽  
Rex C. Bentley ◽  
...  

The evaluation of lesions in the gastrointestinal (GI) tract using ultrasound can suffer from poor contrast between healthy and diseased tissue. Acoustic Radiation Force Impulse (ARFI) imaging provides information about the mechanical properties of tissue using brief, high-intensity, focused ultrasound to generate radiation force and ultrasonic correlation-based methods to track the resulting tissue displacement. Using conventional linear arrays, ARFI imaging has shown improved contrast over B-mode images when applied to solid masses in the breast and liver. The purpose of this work is to (1) investigate the potential for ARFI imaging to provide improvements over conventional B-mode imaging of GI lesions and (2) demonstrate that ARFI imaging can be performed with an endocavity probe. ARFI images of an adenocarcinoma of the gastroesophageal (GE) junction, status-post chemotherapy and radiation treatment, demonstrate better contrast between healthy and fibrotic/malignant tissue than standard B-mode images. ARFI images of healthy gastric, esophageal, and colonic tissue specimens differentiate normal anatomic tissue layers (i.e., mucosal, muscularis and adventitial layers), as confirmed by histologic evaluation. ARFI imaging of ex vivo colon and small bowel tumors portray interesting contrast and structure that are not as well defined in B-mode images. An endocavity probe created ARFI images to a depth of over 2 cm in tissue-mimicking phantoms, with maximum displacements of 4 μm. These findings support the clinical feasibility of endocavity ARFI imaging to guide diagnosis and staging of disease processes in the GI tract.


2018 ◽  
Vol 8 ◽  
pp. 5 ◽  
Author(s):  
Harshavardhan Nagolu ◽  
Sudhakar Kattoju ◽  
Chidambaranathan Natesan ◽  
Meera Krishnakumar ◽  
Sunil Kumar

Objective: The purpose of the study is to investigate the usefulness of acoustic radiation force impulse (ARFI) elastography in the characterization of focal solid liver lesions as benign, malignant, or metastatic using ARFI two-dimensional (2D) imaging and ARFI quantification (shear wave velocities [SWVs]). Materials and Methods: Sixty lesions were included in this study. The lesions were classified into three groups: Group I included benign lesions (n = 25), Group II included malignant lesions (n = 27), and Group III included metastatic lesions (n = 8). ARFI elastography was performed in all these patients using a Siemens ACUSON S 2000™ ultrasound machine. Stiffness and size of the lesions were assessed on ARFI 2D images in correlation with B-mode ultrasound images. SWVs were obtained in these lesions for the quantification of stiffness. Results: In ARFI 2D images, malignant lesions were predominantly stiffer and larger, while benign lesions were softer and similar in size (P < 0.05). The mean SWVs in benign, malignant, and metastatic lesions were 1.30 ± 0.35 m/s, 2.93 ± 0.75 m/s, and 2.77 ± 0.90 m/s, respectively. The area under receiver operating characteristic curve of SWV for differentiating benign from malignant lesions was 0.877, suggesting fair accuracy (95% confidence interval: 0.777–0.976); with a cutoff value of 2 m/s, showing sensitivity: 92%; specificity: 96%; positive predictive value: 96%; negative predictive value: 93% (P < 0.05). Statistically significant difference exists in SWV of benign and malignant or metastatic lesions. Conclusion: ARFI elastography with 2D imaging and quantification might be useful in the characterization of benign and malignant liver lesions.


Ultrasonics ◽  
2017 ◽  
Vol 74 ◽  
pp. 161-166 ◽  
Author(s):  
Yanrong Guo ◽  
Changfeng Dong ◽  
Haoming Lin ◽  
Xinyu Zhang ◽  
Huiying Wen ◽  
...  

2010 ◽  
Vol 36 (4) ◽  
pp. 576-588 ◽  
Author(s):  
Liang Zhai ◽  
John Madden ◽  
Wen-Chi Foo ◽  
Mark L. Palmeri ◽  
Vladimir Mouraviev ◽  
...  

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