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Guo Y, Guo T, Huang C, Sun P, Wu Z, Jin Z, Zheng C, Li X. Combining T1rho and advanced diffusion MRI for noninvasively staging liver fibrosis: an experimental study in rats. Abdom Radiol (NY) 2024; 49:1881-1891. [PMID: 38607572 PMCID: PMC11213740 DOI: 10.1007/s00261-024-04327-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 03/30/2024] [Accepted: 04/02/2024] [Indexed: 04/13/2024]
Abstract
PURPOSE To investigate the value of imaging parameters derived from T1 relaxation times in the rotating frame (T1ρ or T1rho), diffusion kurtosis imaging (DKI) and intravoxel incoherent motion (IVIM) in assessment of liver fibrosis in rats and propose an optimal diagnostic model based on multiparametric MRI. METHODS Thirty rats were divided into one control group and four fibrosis experimental groups (n = 6 for each group). Liver fibrosis was induced by administering thioacetamide (TAA) for 2, 4, 6, and 8 weeks. T1ρ, mean kurtosis (MK), mean diffusivity (MD), perfusion fraction (f), true diffusion coefficient (D), and pseudo-diffusion coefficient (D*) were measured and compared among different fibrosis stages. An optimal diagnostic model was established and the diagnostic efficiency was evaluated by receiver operating characteristic (ROC) curve analysis. RESULTS The mean AUC values, sensitivity, and specificity of T1ρ and MD derived from DKI across all liver fibrosis stages were comparable but much higher than those of other imaging parameters (0.954, 92.46, 91.85 for T1ρ; 0.949, 92.52, 91.24 for MD). The model combining T1ρ and MD exhibited better diagnostic performance with higher AUC values than any individual method for staging liver fibrosis (≥ F1: 1.000 (0.884-1.000); ≥ F2: 0.935 (0.782-0.992); ≥ F3: 0.982 (0.852-1.000); F4: 0.986 (0.859-1.000)). CONCLUSION Among the evaluated imaging parameters, T1ρ and MD were superior for differentiating varying liver fibrosis stages. The model combining T1ρ and MD was promising to be a credible diagnostic biomarker to detect and accurately stage liver fibrosis.
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Affiliation(s)
- Yiwan Guo
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Tingting Guo
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Chen Huang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Peng Sun
- Clinical & Technical Support, Philips Healthcare, No. 1628, Zhongshan Road, Wuhan, China
| | - Zhigang Wu
- Clinical & Technical Support, Philips Healthcare, No. 1628, Zhongshan Road, Wuhan, China
| | - Ziwei Jin
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Xin Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
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Automated whole slide image analysis for a translational quantification of liver fibrosis. Sci Rep 2022; 12:17935. [PMID: 36333365 PMCID: PMC9636208 DOI: 10.1038/s41598-022-22902-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022] Open
Abstract
Current literature highlights the need for precise histological quantitative assessment of fibrosis which cannot be achieved by conventional scoring systems, inherent to their discontinuous values and reader-dependent variability. Here we used an automated image analysis software to measure fibrosis deposition in two relevant preclinical models of liver fibrosis, and established correlation with other quantitative fibrosis descriptors. Longitudinal quantification of liver fibrosis was carried out during progression of post-necrotic (CCl4-induced) and metabolic (HF-CDAA feeding) models of chronic liver disease in mice. Whole slide images of picrosirius red-stained liver sections were analyzed using a fully automated, unsupervised software. Fibrosis was characterized by a significant increase of collagen proportionate area (CPA) at weeks 3 (CCl4) and 8 (HF-CDAA) with a progressive increase up to week 18 and 24, respectively. CPA was compared to collagen content assessed biochemically by hydroxyproline assay (HYP) and by standard histological staging systems. CPA showed a high correlation with HYP content for CCl4 (r = 0.8268) and HF-CDAA (r = 0.6799) models. High correlations were also found with Ishak score or its modified version (r = 0.9705) for CCl4 and HF-CDAA (r = 0.9062) as well as with NASH CRN for HF-CDAA (r = 0.7937). Such correlations support the use of automated digital analysis as a reliable tool to evaluate the dynamics of liver fibrosis and efficacy of antifibrotic drug candidates in preclinical models.
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Tang X, Li X, Li M, Zhong X, Fu W, Ao M, Xuan J. Enhanced US/CT/MR imaging of integrin αvβ3 for liver fibrosis staging in rat. Front Chem 2022; 10:996116. [PMID: 36262337 PMCID: PMC9574014 DOI: 10.3389/fchem.2022.996116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 09/08/2022] [Indexed: 11/13/2022] Open
Abstract
Liver fibrosis is a global health challenge with high morbidity and mortality rates, and diagnostic sensitivity of liver fibrosis tests can be increased using multimodal molecular agents. We designed cyclic arginine-glycine-aspartic acid (cRGD)-modified nanoparticles (NPs) using ultrasound (US)/computed tomography (CT)/magnetic resonance (MR) triple-modality imaging to evaluate liver fibrosis stages. In vitro and in vivo studies were conducted using primary hepatic stellate cells (HSCs) and a rat model of liver fibrosis induced by carbon tetrachloride (CCl4). Our results showed cRGD-poly(lactic-co-glycolic acid)-Fe3O4-perfluorocarbon bromide (cRGD-PLGA-Fe3O4-PFOB) NPs were preferentially internalised by activated HSCs (aHSCs). The main cell types expressing integrin αvβ3 during liver fibrogenesis were the aHSCs. The protein levels of αv and β3 expressed on aHSCs increased with the progression of liver fibrosis. After intravenous injection of cRGD-PLGA-Fe3O4-PFOB NPs, the echo intensity (EI) values, CT values, and T2 values of liver parenchyma correlated well with liver fibrosis severity. cRGD-PLGA-Fe3O4-PFOB NPs as multifunction contrast agents showed great potential to reflect the degree of HSC activation and distinguish among different liver fibrotic stages. The ligand-directed and integrin αvβ3-mediated accumulation provides active and passive targeting capabilities, permitting the targeted multimodal imaging of cRGD-PLGA-Fe3O4-PFOB NPs, which delivers accurate non-invasive diagnosis and real-time monitoring of liver fibrosis development.
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Affiliation(s)
- Xueyao Tang
- Department of Ultrasound, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Department of Ultrasound, The Third People’s Hospital of Chengdu, Clinical College of Southwest Jiao Tong University, The Second Affiliated Chengdu Hospital of Chongqing Medical University, Chengdu, China
| | - Xuan Li
- Department of Ultrasound, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Department of Ultrasound, Sichuan Provincial People’s Hospital, Chengdu, China
| | - Mingxing Li
- Department of Ultrasound, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xiaoling Zhong
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Wenguang Fu
- Academician (Expert) Workstation of Sichuan Province, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Meng Ao
- Department of Ultrasound, The Second Affiliated Hospital of Chongqing Medical University & Chongqing Key Laboratory of Ultrasound Molecular Imaging, Chongqing, China
- *Correspondence: Jiqing Xuan, ; Meng Ao,
| | - Jiqing Xuan
- Department of Ultrasound, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- *Correspondence: Jiqing Xuan, ; Meng Ao,
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Sofias AM, De Lorenzi F, Peña Q, Azadkhah Shalmani A, Vucur M, Wang JW, Kiessling F, Shi Y, Consolino L, Storm G, Lammers T. Therapeutic and diagnostic targeting of fibrosis in metabolic, proliferative and viral disorders. Adv Drug Deliv Rev 2021; 175:113831. [PMID: 34139255 PMCID: PMC7611899 DOI: 10.1016/j.addr.2021.113831] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/30/2021] [Accepted: 06/10/2021] [Indexed: 02/07/2023]
Abstract
Fibrosis is a common denominator in many pathologies and crucially affects disease progression, drug delivery efficiency and therapy outcome. We here summarize therapeutic and diagnostic strategies for fibrosis targeting in atherosclerosis and cardiac disease, cancer, diabetes, liver diseases and viral infections. We address various anti-fibrotic targets, ranging from cells and genes to metabolites and proteins, primarily focusing on fibrosis-promoting features that are conserved among the different diseases. We discuss how anti-fibrotic therapies have progressed over the years, and how nanomedicine formulations can potentiate anti-fibrotic treatment efficacy. From a diagnostic point of view, we discuss how medical imaging can be employed to facilitate the diagnosis, staging and treatment monitoring of fibrotic disorders. Altogether, this comprehensive overview serves as a basis for developing individualized and improved treatment strategies for patients suffering from fibrosis-associated pathologies.
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Affiliation(s)
- Alexandros Marios Sofias
- Department of Nanomedicine and Theranostics, Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany; Mildred Scheel School of Oncology (MSSO), Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO(ABCD)), University Hospital Aachen, Aachen, Germany; Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
| | - Federica De Lorenzi
- Department of Nanomedicine and Theranostics, Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Quim Peña
- Department of Nanomedicine and Theranostics, Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Armin Azadkhah Shalmani
- Department of Nanomedicine and Theranostics, Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Mihael Vucur
- Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Duesseldorf, Medical Faculty at Heinrich-Heine-University, Duesseldorf, Germany
| | - Jiong-Wei Wang
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Cardiovascular Research Institute, National University Heart Centre Singapore, Singapore, Singapore; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Nanomedicine Translational Research Programme, Centre for NanoMedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Fabian Kiessling
- Department of Nanomedicine and Theranostics, Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Yang Shi
- Department of Nanomedicine and Theranostics, Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Lorena Consolino
- Department of Nanomedicine and Theranostics, Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
| | - Gert Storm
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Nanomedicine Translational Research Programme, Centre for NanoMedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Department of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; Department of Targeted Therapeutics, University of Twente, Enschede, the Netherlands.
| | - Twan Lammers
- Department of Nanomedicine and Theranostics, Institute for Experimental Molecular Imaging, Faculty of Medicine, RWTH Aachen University, Aachen, Germany; Department of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; Department of Targeted Therapeutics, University of Twente, Enschede, the Netherlands.
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Dai X, Zeng Y, Zhang H, Gu Z, Gong Q, Luo K. Advances on Nanomedicines for Diagnosis and Theranostics of Hepatic Fibrosis. ADVANCED NANOBIOMED RESEARCH 2021. [DOI: 10.1002/anbr.202000091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Affiliation(s)
- Xinghang Dai
- Huaxi MR Research Center (HMRRC) Department of Radiology Functional and molecular imaging Key Laboratory of Sichuan Province West China Hospital Sichuan University Chengdu 610041 China
- West China School of Medicine Sichuan University Chengdu 610041 China
| | - Yujun Zeng
- Huaxi MR Research Center (HMRRC) Department of Radiology Functional and molecular imaging Key Laboratory of Sichuan Province West China Hospital Sichuan University Chengdu 610041 China
| | - Hu Zhang
- Huaxi MR Research Center (HMRRC) Department of Radiology Functional and molecular imaging Key Laboratory of Sichuan Province West China Hospital Sichuan University Chengdu 610041 China
- Amgen Bioprocessing Centre Keck Graduate Institute CA 91711 USA
| | - Zhongwei Gu
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu 610041 China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC) Department of Radiology Functional and molecular imaging Key Laboratory of Sichuan Province West China Hospital Sichuan University Chengdu 610041 China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu 610041 China
| | - Kui Luo
- Huaxi MR Research Center (HMRRC) Department of Radiology Functional and molecular imaging Key Laboratory of Sichuan Province West China Hospital Sichuan University Chengdu 610041 China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu 610041 China
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Imaging Fibrogenesis in a Diet-Induced Model of Nonalcoholic Steatohepatitis (NASH). CONTRAST MEDIA & MOLECULAR IMAGING 2019; 2019:6298128. [PMID: 31866798 PMCID: PMC6914933 DOI: 10.1155/2019/6298128] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 10/26/2019] [Indexed: 02/08/2023]
Abstract
Purpose Liver fibrosis is the hallmark of chronic nonalcoholic steatohepatitis (NASH) and is characterised by the excessive deposition of extracellular matrix proteins. Early detection and accurate staging of liver fibrosis is critically important for patient management. One of the earliest pathological markers in NASH is the activation of hepatic stellate cells (HSCs) which may be exploited as a marker of fibrogenesis. Activated HSCs secreting factors such as integrin αvβ3 propagate fibrosis. The purpose of the current study was to assess the utility of the integrin αvβ3 imaging agent [18F]FtRGD for the early detection of fibrosis in a diet-induced model of NASH longitudinally using PET imaging. Procedures Mice were fed with either standard chow diet (SD), high-fat diet (HFD), or a choline-deficient, L-amino acid-defined high-fat fibrogenic diet (CDAHFD) to mimic the clinical pathology of liver disease and followed longitudinally for 10 weeks to assess the development of liver fibrosis using [18F]FtRGD positron emission tomography (PET) imaging. Standard blood biochemistry, histological measures, and qPCR were used to quantify integrin αvβ3, smooth muscle actin, and collagen types 1 and 6 to assess the extent of NASH pathology and accurately stage liver fibrosis. Results The CDAHFD fibrogenic diet predictably developed hepatic inflammation and steatosis over the 10 weeks studied with little NASH pathology detected in high fat diet-treated animals. Stage 1 fibrosis was detected early by histology at day 21 and progressed to stage 2 by day 35 and stage 3 by day 56 in mice fed with CDAHFD diet only. Noninvasive imaging with [18F]FtRGD correlated well with integrin αvβ3 and was able to distinguish early mild stage 2 fibrosis in CDAHFD animals compared with standard chow diet-fed animals at day 35. When compared with high fat diet-fed animals, [18F]FtRGD was only able to distinguish later moderate stage 2 fibrosis in CDAHFD animals at day 49. Conclusions The diet-induced progression of liver fibrosis was confirmed using histology and correlated well with the mRNA of integrin αvβ3 and extracellular matrix protein expression. [18F]FtRGD showed very good correlation between liver uptake and integrin αvβ3 expression and similar detection sensitivity to the current clinical gold standard modalities for staging of liver fibrosis.
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Chen X, Zhang X, Du M, Dong C, Cao L, Wei R, Liu C, Zhai W, Wang B, Xin J. In vivo preclinical PET/CT imaging of carbon-11-labeled aminoglycerol probe for the diagnosis of liver fibrosis. Ann Nucl Med 2019; 33:806-812. [PMID: 31388833 DOI: 10.1007/s12149-019-01391-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2019] [Accepted: 07/30/2019] [Indexed: 12/14/2022]
Abstract
OBJECTIVE As an important membrane protein, aquaglyceroporin involves liver glycerol metabolism, which can be used to stage liver fibrosis. In this study, we synthesized a novel molecular probe carbon-11-labeled AR ([11C]AR) with aminoglycerol (AR), and evaluated its preclinical performance for liver fibrosis diagnosis by positron emission tomography/computed tomography (PET/CT) imaging in vivo. METHODS We developed a fully automatic synthesis procedure for the preparation of [11C]AR by radiolabeling glycerol analogue precursor AR with carbon-11. The liver uptake kinetics of [11C]AR was investigated using a rat model by the PET/CT scanner. The dynamic PET/CT scans were performed between the control group (n = 5) and experimental group (n = 25), which was divided into three subgroups (S1, S2 + S3, S4) based on the stages of liver fibrosis. The regions of interest (ROIs) of 20 pixels were drawn in the liver area on the reconstructed images. One-way analysis of variance and independent sample t test were used to analyze the statistical difference of the maximum standardized uptake value (SUVmax) among the groups at series of scanning time points (20 s, 60 s, 90 s, 150 s, 5 min, 10 min, 20 min and 25 min). RESULTS The fully automatic synthesis of [11C]AR was successfully achieved with high synthesis efficiency (above 50%). The uptake of [11C]AR in progressive liver fibrosis tissues was significantly lower than that in healthy livers at all the imaging time points (P < 0.05), especially at early time points (before 10 min p.i.). A cut-off SUVmax value (1.1) at 150 s p.i. was set for discrimination progressive fibrosis from healthy liver. More experimental and healthy rats were tested with this new threshold to evaluate fibrosis situation. The sensitivity of detecting progressive fibrosis with [11C]AR was 100% in the second cohort. CONCLUSION We demonstrated a new carbon-11-radiolabeled aminoglycerol PET/CT imaging probe [11C]AR for liver fibrosis diagnosis and staging, which may allow potential assessment of liver fibrosis stages in a rapid and noninvasive method.
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Affiliation(s)
- Xi Chen
- Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Xin Zhang
- Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Ming Du
- Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Chengyan Dong
- GE Healthcare, Beijing, 100076, People's Republic of China
| | - Li Cao
- Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Rucheng Wei
- Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Changping Liu
- Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Wei Zhai
- Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Bo Wang
- Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, People's Republic of China
| | - Jun Xin
- Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, Liaoning, 110004, People's Republic of China.
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