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Liu HC, Zeng Y, Gong C, Chen X, Kijanka P, Zhang J, Genyk Y, Tchelepi H, Wang C, Zhou Q, Zhao X. Wearable bioadhesive ultrasound shear wave elastography. SCIENCE ADVANCES 2024; 10:eadk8426. [PMID: 38335289 PMCID: PMC10857377 DOI: 10.1126/sciadv.adk8426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/10/2024] [Indexed: 02/12/2024]
Abstract
Acute liver failure (ALF) is a critical medical condition defined as the rapid development of hepatic dysfunction. Conventional ultrasound elastography cannot continuously monitor liver stiffness over the course of rapidly changing diseases for early detection due to the requirement of a handheld probe. In this study, we introduce wearable bioadhesive ultrasound elastography (BAUS-E), which can generate acoustic radiation force impulse (ARFI) to induce shear waves for the continuous monitoring of modulus changes. BAUS-E contains 128 channels with a compact design with only 24 mm in the azimuth direction for comfortable wearability. We further used BAUS-E to continuously monitor the stiffness of in vivo rat livers with ALF induced by d-galactosamine over 48 hours, and the stiffness change was observed within the first 6 hours. BAUS-E holds promise for clinical applications, particularly in patients after organ transplantation or postoperative care in the intensive care unit (ICU).
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Affiliation(s)
- Hsiao-Chuan Liu
- Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
| | - Yushun Zeng
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Chen Gong
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Xiaoyu Chen
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
| | - Piotr Kijanka
- Department of Robotics and Mechatronics, AGH University of Krakow, Krakow 30059, Poland
| | - Junhang Zhang
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Yuri Genyk
- Division of Hepatobiliary, Pancreatic and Abdominal Organ Transplant Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Hisham Tchelepi
- Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Chonghe Wang
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
| | - Qifa Zhou
- Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA
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Czernuszewicz TJ, Aji AM, Moore CJ, Montgomery SA, Velasco B, Torres G, Anand KS, Johnson KA, Deal AM, Zukić D, McCormick M, Schnabl B, Gallippi CM, Dayton PA, Gessner RC. Development of a Robotic Shear Wave Elastography System for Noninvasive Staging of Liver Disease in Murine Models. Hepatol Commun 2022; 6:1827-1839. [PMID: 35202510 PMCID: PMC9234684 DOI: 10.1002/hep4.1912] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Shear wave elastography (SWE) is an ultrasound-based stiffness quantification technology that is used for noninvasive liver fibrosis assessment. However, despite widescale clinical adoption, SWE is largely unused by preclinical researchers and drug developers for studies of liver disease progression in small animal models due to significant experimental, technical, and reproducibility challenges. Therefore, the aim of this work was to develop a tool designed specifically for assessing liver stiffness and echogenicity in small animals to better enable longitudinal preclinical studies. A high-frequency linear array transducer (12-24 MHz) was integrated into a robotic small animal ultrasound system (Vega; SonoVol, Inc., Durham, NC) to perform liver stiffness and echogenicity measurements in three dimensions. The instrument was validated with tissue-mimicking phantoms and a mouse model of nonalcoholic steatohepatitis. Female C57BL/6J mice (n = 40) were placed on choline-deficient, L-amino acid-defined, high-fat diet and imaged longitudinally for 15 weeks. A subset was sacrificed after each imaging timepoint (n = 5) for histological validation, and analyses of receiver operating characteristic (ROC) curves were performed. Results demonstrated that robotic measurements of echogenicity and stiffness were most strongly correlated with macrovesicular steatosis (R2 = 0.891) and fibrosis (R2 = 0.839), respectively. For diagnostic classification of fibrosis (Ishak score), areas under ROC (AUROCs) curves were 0.969 for ≥Ishak1, 0.984 for ≥Ishak2, 0.980 for ≥Ishak3, and 0.969 for ≥Ishak4. For classification of macrovesicular steatosis (S-score), AUROCs were 1.00 for ≥S2 and 0.997 for ≥S3. Average scanning and analysis time was <5 minutes/liver. Conclusion: Robotic SWE in small animals is feasible and sensitive to small changes in liver disease state, facilitating in vivo staging of rodent liver disease with minimal sonographic expertise.
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Affiliation(s)
- Tomasz J Czernuszewicz
- SonoVol, Inc.DurhamNCUSA.,Joint Department of Biomedical EngineeringUniversity of North Carolina and North Carolina State UniversityChapel HillNCUSA
| | | | | | - Stephanie A Montgomery
- Department of Pathology and Laboratory MedicineUniversity of North CarolinaChapel HillNCUSA
| | - Brian Velasco
- Joint Department of Biomedical EngineeringUniversity of North Carolina and North Carolina State UniversityChapel HillNCUSA
| | - Gabriela Torres
- Joint Department of Biomedical EngineeringUniversity of North Carolina and North Carolina State UniversityChapel HillNCUSA
| | - Keerthi S Anand
- Joint Department of Biomedical EngineeringUniversity of North Carolina and North Carolina State UniversityChapel HillNCUSA
| | - Kennita A Johnson
- Joint Department of Biomedical EngineeringUniversity of North Carolina and North Carolina State UniversityChapel HillNCUSA
| | - Allison M Deal
- Biostatistics CoreLineberger Cancer CenterUniversity of North CarolinaChapel HillNCUSA
| | | | | | - Bernd Schnabl
- 19979Department of MedicineUniversity of California San DiegoLa JollaCAUSA.,19979Department of MedicineVA San Diego Healthcare SystemSan DiegoCAUSA
| | - Caterina M Gallippi
- Joint Department of Biomedical EngineeringUniversity of North Carolina and North Carolina State UniversityChapel HillNCUSA
| | - Paul A Dayton
- Joint Department of Biomedical EngineeringUniversity of North Carolina and North Carolina State UniversityChapel HillNCUSA
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Shao T, Chen Z, Belov V, Wang X, Rwema SH, Kumar V, Fu H, Deng X, Rong J, Yu Q, Lang L, Lin W, Josephson L, Samir AE, Chen X, Chung RT, Liang SH. [ 18F]-Alfatide PET imaging of integrin αvβ3 for the non-invasive quantification of liver fibrosis. J Hepatol 2020; 73:161-169. [PMID: 32145257 PMCID: PMC7363052 DOI: 10.1016/j.jhep.2020.02.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 01/21/2020] [Accepted: 02/14/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND & AIMS The vitronectin receptor integrin αvβ3 drives fibrogenic activation of hepatic stellate cells (HSCs). Molecular imaging targeting the integrin αvβ3 could provide a non-invasive method for evaluating the expression and the function of the integrin αvβ3 on activated HSCs (aHSCs) in the injured liver. In this study, we sought to compare differences in the uptake of [18F]-Alfatide between normal and injured liver to evaluate its utility for assessment of hepatic fibrogenesis. METHODS PET with [18F]-Alfatide, non-enhanced CT, histopathology, immunofluorescence staining, immunoblotting and gene analysis were performed to evaluate and quantify hepatic integrin αvβ3 levels and liver fibrosis progression in mouse models of fibrosis (carbon tetrachloride [CCl4] and bile duct ligation [BDL]). The liver AUC divided by the blood AUC over 30 min was used as an integrin αvβ3-PET index to quantify fibrosis progression. Ex vivo analysis of frozen liver tissue from patients with fibrosis and cirrhosis verified the animal findings. RESULTS Fibrotic mouse livers showed enhanced [18F]-Alfatide uptake and retention compared to control livers. The radiotracer was demonstrated to bind specifically with integrin αvβ3, which is mainly expressed on aHSCs. Autoradiography and histopathology confirmed the PET imaging results. Further, the mRNA and protein level of integrin αvβ3 and its signaling complex were higher in CCl4 and BDL models than controls. The results obtained from analyses on human fibrotic liver sections supported the animal findings. CONCLUSIONS Imaging hepatic integrin αvβ3 with PET and [18F]-Alfatide offers a potential non-invasive method for monitoring the progression of liver fibrosis. LAY SUMMARY Integrin αvβ3 expression on activated hepatic stellate cells (aHSCs) is associated with HSC proliferation during hepatic fibrogenesis. Herein, we show that a radioactive tracer, [18F]-Alfatide, binds to integrin αvβ3 with high affinity and specificity. [18F]-Alfatide could thus be used as a non-invasive imaging biomarker to track hepatic fibrosis progression.
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Affiliation(s)
- Tuo Shao
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, USA; Liver Center and Gastrointestinal Division, Department of Medicine, Massachusetts General Hospital, Boston, USA
| | - Zhen Chen
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, USA
| | - Vasily Belov
- Massachusetts General Hospital, Shriners Hospitals for Children, Boston, USA
| | - Xiaohong Wang
- Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, USA
| | - Steve H Rwema
- Liver Center and Gastrointestinal Division, Department of Medicine, Massachusetts General Hospital, Boston, USA
| | - Viksit Kumar
- Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, USA
| | - Hualong Fu
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, USA
| | - Xiaoyun Deng
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, USA
| | - Jian Rong
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, USA
| | - Qingzhen Yu
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, USA
| | - Lixin Lang
- Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, USA
| | - Wenyu Lin
- Liver Center and Gastrointestinal Division, Department of Medicine, Massachusetts General Hospital, Boston, USA
| | - Lee Josephson
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, USA
| | - Anthony E Samir
- Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, USA
| | - Xiaoyuan Chen
- Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, USA.
| | - Raymond T Chung
- Liver Center and Gastrointestinal Division, Department of Medicine, Massachusetts General Hospital, Boston, USA.
| | - Steven H Liang
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, USA.
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