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Wang Q, Sheng Y, Jiang Z, Liu H, Lu H, Xing W. What Imaging Modality Is More Effective in Predicting Early Recurrence of Hepatocellular Carcinoma after Hepatectomy Using Radiomics Analysis: CT or MRI or Both? Diagnostics (Basel) 2023; 13:2012. [PMID: 37370907 DOI: 10.3390/diagnostics13122012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/22/2023] [Accepted: 05/29/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND It is of great importance to predict the early recurrence (ER) of hepatocellular carcinoma (HCC) after hepatectomy using preoperative imaging modalities. Nevertheless, no comparative studies have been conducted to determine which modality, CT or MRI with radiomics analysis, is more effective. METHODS We retrospectively enrolled 119 HCC patients who underwent preoperative CT and MRI. A total of 3776 CT features and 4720 MRI features were extracted from the whole tumor. The minimum redundancy and maximum relevance algorithm (MRMR) and least absolute shrinkage and selection operator (LASSO) regression were applied for feature selection, then support vector machines (SVMs) were applied for model construction. Multivariable logistic regression analysis was employed to construct combined models that integrate clinical-radiological-pathological (CRP) traits and radscore. Receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to compare the efficacy of CT, MRI, and CT and MRI models in the test cohort. RESULTS The CT model and MRI model showed no significant difference in the prediction of ER in HCC patients (p = 0.911). RadiomicsCT&MRI demonstrated a superior predictive performance than either RadiomicsCT or RadiomicsMRI alone (p = 0.032, 0.039). The combined CT and MRI model can significantly stratify patients at high risk of ER (area under the curve (AUC) of 0.951 in the training set and 0.955 in the test set) than the CT model (AUC of 0.894 and 0.784) and the MRI model (AUC of 0.856 and 0.787). DCA demonstrated that the CT and MRI model provided a greater net benefit than the models without radiomics analysis. CONCLUSIONS No significant difference was found in predicting the ER of HCC between CT models and MRI models. However, the multimodal radiomics model derived from CT and MRI can significantly improve the prediction of ER in HCC patients after resection.
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Affiliation(s)
- Qing Wang
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China
| | - Ye Sheng
- Department of Interventional Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China
| | - Zhenxing Jiang
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China
| | - Haifeng Liu
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China
| | - Haitao Lu
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China
| | - Wei Xing
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou First People's Hospital, Changzhou 213200, China
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Taso M, Aramendía-Vidaurreta V, Englund EK, Francis S, Franklin S, Madhuranthakam AJ, Martirosian P, Nayak KS, Qin Q, Shao X, Thomas DL, Zun Z, Fernández-Seara MA. Update on state-of-the-art for arterial spin labeling (ASL) human perfusion imaging outside of the brain. Magn Reson Med 2023; 89:1754-1776. [PMID: 36747380 DOI: 10.1002/mrm.29609] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 01/09/2023] [Accepted: 01/16/2023] [Indexed: 02/08/2023]
Abstract
This review article provides an overview of developments for arterial spin labeling (ASL) perfusion imaging in the body (i.e., outside of the brain). It is part of a series of review/recommendation papers from the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group. In this review, we focus on specific challenges and developments tailored for ASL in a variety of body locations. After presenting common challenges, organ-specific reviews of challenges and developments are presented, including kidneys, lungs, heart (myocardium), placenta, eye (retina), liver, pancreas, and muscle, which are regions that have seen the most developments outside of the brain. Summaries and recommendations of acquisition parameters (when appropriate) are provided for each organ. We then explore the possibilities for wider adoption of body ASL based on large standardization efforts, as well as the potential opportunities based on recent advances in high/low-field systems and machine-learning. This review seeks to provide an overview of the current state-of-the-art of ASL for applications in the body, highlighting ongoing challenges and solutions that aim to enable more widespread use of the technique in clinical practice.
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Affiliation(s)
- Manuel Taso
- Division of MRI Research, Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | | | - Erin K Englund
- Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Susan Francis
- Sir Peter Mansfield Imaging Center, University of Nottingham, Nottingham, UK
| | - Suzanne Franklin
- C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Center for Image Sciences, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Ananth J Madhuranthakam
- Department of Radiology, Advanced Imaging Research Center, and Biomedical Engineering, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Petros Martirosian
- Section on Experimental Radiology, Department of Radiology, University Hospital of Tuebingen, Tuebingen, Germany
| | - Krishna S Nayak
- Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA
| | - Qin Qin
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA
| | - Xingfeng Shao
- Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - David L Thomas
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Zungho Zun
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
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Chouhan MD, Taylor SA, Bhagwanani A, Munday C, Pinnock MA, Parry T, Hu Y, Barratt D, Yu D, Mookerjee RP, Halligan S, Mallett S. Imaging features for the prediction of clinical endpoints in chronic liver disease: a scoping review protocol. BMJ Open 2022; 12:e053204. [PMID: 35501093 PMCID: PMC9062789 DOI: 10.1136/bmjopen-2021-053204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Chronic liver disease is a growing cause of morbidity and mortality in the UK. Acute presentation with advanced disease is common and prioritisation of resources to those at highest risk at earlier disease stages is essential to improving patient outcomes. Existing prognostic tools are of limited accuracy and to date no imaging-based tools are used in clinical practice, despite multiple anatomical imaging features that worsen with disease severity.In this paper, we outline our scoping review protocol that aims to provide an overview of existing prognostic factors and models that link anatomical imaging features with clinical endpoints in chronic liver disease. This will provide a summary of the number, type and methods used by existing imaging feature-based prognostic studies and indicate if there are sufficient studies to justify future systematic reviews. METHODS AND ANALYSIS The protocol was developed in accordance with existing scoping review guidelines. Searches of MEDLINE and Embase will be conducted using titles, abstracts and Medical Subject Headings restricted to publications after 1980 to ensure imaging method relevance on OvidSP. Initial screening will be undertaken by two independent reviewers. Full-text data extraction will be undertaken by three pretrained reviewers who have participated in a group data extraction session to ensure reviewer consensus and reduce inter-rater variability. Where needed, data extraction queries will be resolved by reviewer team discussion. Reporting of results will be based on grouping of related factors and their cumulative frequencies. Prognostic anatomical imaging features and clinical endpoints will be reported using descriptive statistics to summarise the number of studies, study characteristics and the statistical methods used. ETHICS AND DISSEMINATION Ethical approval is not required as this study is based on previously published work. Findings will be disseminated by peer-reviewed publication and/or conference presentations.
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Affiliation(s)
| | | | - Anisha Bhagwanani
- Imaging Department, University College London Hospitals NHS Foundation Trust, London, UK
| | - Charlotte Munday
- Department of Imaging, Royal Free London NHS Foundation Trust, London, UK
| | | | - Tom Parry
- UCL Centre for Medical Imaging, UCL, London, UK
| | - Yipeng Hu
- UCL Centre for Medical Image Computing, UCL, London, UK
| | - Dean Barratt
- UCL Centre for Medical Image Computing, UCL, London, UK
| | - Dominic Yu
- Department of Imaging, Royal Free London NHS Foundation Trust, London, UK
| | | | | | - Sue Mallett
- UCL Centre for Medical Imaging, UCL, London, UK
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Whiteford J, Arokiasamy S, Thompson CL, Dufton NP. Novel application of live imaging to determine the functional cell biology of endothelial-to-mesenchymal transition (EndMT) within a liver-on-a-chip platform. IN VITRO MODELS 2022; 1:413-421. [PMID: 36570669 PMCID: PMC9767233 DOI: 10.1007/s44164-022-00034-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 08/19/2022] [Accepted: 08/23/2022] [Indexed: 12/27/2022]
Abstract
Objective Imaging endothelial cell behaviour under physiological conditions, particularly those associated with chronic fibrotic pathologies, is an incredibly challenging endeavour. While short-term assessments (hours) can be achieved with techniques such as intravital microscopy, vascular changes often occur over days and weeks which is unfeasible with current imaging techniques. These challenges are exemplified within the liver where liver sinusoidal endothelial cells (LSECs) are known to undergo dramatic changes termed endothelial-to-mesenchymal transition (EndMT) during fibrotic liver disease. Despite the established presence of EndMT in liver disease, the inaccessibility of viable liver tissue, and simplicity of 2D culture techniques has meant, the role of EndMT during disease progression remains largely undetermined. This study describes the development of novel fluorescent EndMT reporters to identify, track, and characterise the migratory behaviour of EndMT cells. We show that liver-on-a-chip (LOAC) platforms provide a flexible, optically accessible, and physiologically relevant microenvironment to study the vascular dynamics of EndMT during liver disease. Methods Identification, creation, and application of an EndMT-specific fluorescent reporter construct (EndMT-Rep). Transduction of EC using lentiviral packaged CNN1-eGFP construct as an inducible EndMT-Rep (CNN1-Rep) to 2D, 3D, and 4D imaging techniques for fixed and live cell imaging. Combined application of live and fixed imaging technologies to measure EndMT using CNN1-Rep on LOAC platform under physiological conditions. Demonstration of the high-resolution single-cell EndMT tracking by live cell time-lapse microscopy and with post-acquisition processing to perform a comparative study of CNN1-Rep and healthy LSECs within a NASH-like LOAC microenvironment. Conclusions LOAC enables prolonged, multi-platform imaging of endothelial cell sub-populations such as those undergoing EndMT in 2D and 3D cultures. Our study highlights the application of EndMT reporters, such as CNN1-Rep, to provide high-resolution imaging of EndMT behaviour for the first time under physiologically relevant liver microenvironment. Overall, these methods reveal the adaptability and impact of live-cell imaging on uncovering vascular behaviours, such as EndMT, that are unattainable in viable tissue or conventional 2D in vitro experiments. Supplementary Information The online version contains supplementary material available at 10.1007/s44164-022-00034-9.
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Affiliation(s)
- James Whiteford
- Barts and the London School of Medicine and Dentistry, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Samantha Arokiasamy
- Barts and the London School of Medicine and Dentistry, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Clare L. Thompson
- Barts and the London School of Medicine and Dentistry, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Neil P. Dufton
- Barts and the London School of Medicine and Dentistry, William Harvey Research Institute, Queen Mary University of London, London, UK
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Lopez-Lopez V, Garcia-Carrillo N, de Gea D, Oltra L, González-Bermúdez CA, Carbonell G, Brusadin R, Lopez-Conesa A, Robles-Campos R. Assessment of hepatic function, perfusion and parenchyma attenuation with indocyanine green, ultrasound and computed tomography in a healthy rat model: Preliminary determination of baseline parameters in a healthy liver. PLoS One 2021; 16:e0261447. [PMID: 34919595 PMCID: PMC8682902 DOI: 10.1371/journal.pone.0261447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 12/02/2021] [Indexed: 11/19/2022] Open
Abstract
Background Defining reference intervals in experimental animal models plays a crucial role in pre-clinical studies. The hepatic parameters in healthy animals provide useful information about type and extension of hepatic damage. However, in the majority of the cases, to obtain them require an invasive techniques. Our study combines these determinations with dynamic functional test and imaging techniques to implement a non-invasive protocol for liver evaluation. The aim of the study was to determine reference intervals for hepatic function, perfusion and parenchyma attenuation with analytical and biochemical blood parameters, indocyanine green, ultrasound and computed tomography in six healthy SD rats. Methods Six males healthy SD rats were followed for 4 weeks. To determine hepatic function, perfusion and parenchyma attenuation analytical and biochemical blood parameters, indocyanine green, ultrasound and computed tomography were studied. Results were expressed as Means ± standard error of mean (SEM). The significance of differences was calculated by using student t-test, p < 0.05 was considered statistically significant. Results Indocyanine green clearance 5 and 10 minutes after its injection was 80.12% and 96.59%, respectively. Approximate rate of decay during the first 5 minutes after injection was 38% per minute. Hepatic perfusion evaluation with the high-frequency ultrasound was related to cardiovascular hemodynamic and renal perfusion. Portal area, hepatic artery resistance index, hepatic artery and portal peak systolic velocity and average between hepatic artery and porta was 3.41 ± 0.62 mm2, 0.57 ± 0.04 mm2/s, 693.24±102.53 mm2/s, 150.72 ± 17.80 mm2/s and 4.82 ± 0.96 mm2/s, respectively. Heart rate, cardiac output, left renal artery diammetre and renal blood flow were 331.01 ± 22.22 bpm, 75.58 ± 8.72 mL/min, 0.88 ± 0.04 mm2 and 13.65 ± 1.95 mm2/s. CT-scan hepatic average volume for each rat were 21.08±3.32, 17.57±2.76, 14.87±2.83 and 13.67±2.45 cm3 with an average attenuation coefficient of 113.51±18.08, 129,19±7.18, 141,47±1.95 y 151,67±1.2 HU. Conclusion Indocyanine green and high-frequency ultrasound could be used in rats as a suitable marker of liver function. Computed tomography, through the study of raw data, help to characterize liver parenchyma, and could be a potential tool for early detection of liver parenchymal alterations and linear follow-up of patients. Further studies in rats with liver disease are necessary to verify the usefulness of these parameters.
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Affiliation(s)
- Victor Lopez-Lopez
- Department of Surgery, HBP Unit, Virgen de la Arrixaca University Clinical Hospital, University of Murcia, (IMIB-Arrixaca), Murcia, Spain
- * E-mail:
| | | | - Diego de Gea
- Faculty of Medicine, University of Murcia, (IMIB-Arrixaca), Murcia, Spain
| | - Lidia Oltra
- Department of Physiology, Faculty of Medicine, University of Murcia, (IMIB-Arrixaca), Murcia, Spain
| | | | - Guillermo Carbonell
- Department of Radiology, Virgen de la Arrixaca University Clinical Hospital, University of Murcia, (IMIB-Arrixaca), Murcia, Spain
| | - Roberto Brusadin
- Department of Surgery, HBP Unit, Virgen de la Arrixaca University Clinical Hospital, University of Murcia, (IMIB-Arrixaca), Murcia, Spain
| | - Asunción Lopez-Conesa
- Department of Surgery, HBP Unit, Virgen de la Arrixaca University Clinical Hospital, University of Murcia, (IMIB-Arrixaca), Murcia, Spain
| | - Ricardo Robles-Campos
- Department of Surgery, HBP Unit, Virgen de la Arrixaca University Clinical Hospital, University of Murcia, (IMIB-Arrixaca), Murcia, Spain
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Chouhan MD, Fitzke HE, Bainbridge A, Atkinson D, Halligan S, Davies N, Lythgoe MF, Mookerjee RP, Menys A, Taylor SA. Cardiac-induced liver deformation as a measure of liver stiffness using dynamic imaging without magnetization tagging-preclinical proof-of-concept, clinical translation, reproducibility and feasibility in patients with cirrhosis. Abdom Radiol (NY) 2021; 46:4660-4670. [PMID: 34148103 DOI: 10.1007/s00261-021-03168-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/03/2021] [Accepted: 06/05/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE MR elastography and magnetization-tagging use liver stiffness (LS) measurements to diagnose fibrosis but require physical drivers, specialist sequences and post-processing. Here we evaluate non-rigid registration of dynamic two-dimensional cine MRI images to measure cardiac-induced liver deformation (LD) as a measure of LS by (i) assessing preclinical proof-of-concept, (ii) clinical reproducibility and inter-reader variability, (iii) the effects of hepatic hemodynamic changes and (iv) feasibility in patients with cirrhosis. METHODS Sprague-Dawley rats (n = 21 bile duct ligated (BDL), n = 17 sham-operated controls) and fasted patients with liver cirrhosis (n = 11) and healthy volunteers (HVs, n = 10) underwent spoiled gradient-echo short-axis cardiac cine MRI studies at 9.4 T (rodents) and 3.0 T (humans). LD measurements were obtained from intrahepatic sub-cardiac regions-of-interest close to the diaphragmatic margin. One-week reproducibility and prandial stress induced hemodynamic changes were assessed in healthy volunteers. RESULTS Normalized LD was higher in BDL (1.304 ± 0.062) compared with sham-operated rats (1.058 ± 0.045, P = 0.0031). HV seven-day reproducibility Bland-Altman (BA) limits-of-agreement (LoAs) were ± 0.028 a.u. and inter-reader variability BA LoAs were ± 0.030 a.u. Post-prandial LD increases were non-significant (+ 0.0083 ± 0.0076 a.u., P = 0.3028) and uncorrelated with PV flow changes (r = 0.42, p = 0.2219). LD measurements successfully obtained from all patients were not significantly higher in cirrhotics (0.102 ± 0.0099 a.u.) compared with HVs (0.080 ± 0.0063 a.u., P = 0.0847). CONCLUSION Cardiac-induced LD is a conceptually reasonable approach from preclinical studies, measurements demonstrate good reproducibility and inter-reader variability, are less likely to be affected by hepatic hemodynamic changes and are feasible in patients with cirrhosis.
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Affiliation(s)
- Manil D Chouhan
- Division of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK.
| | - Heather E Fitzke
- Division of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK
- Wingate Institute of Neurogastroenterology, Neuroscience and Trauma, Queen Mary University of London (QMUL), London, UK
| | - Alan Bainbridge
- Department of Medical Physics, University College London Hospitals NHS Trust, London, UK
| | - David Atkinson
- Division of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK
| | - Steve Halligan
- Division of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK
| | - Nathan Davies
- Division of Medicine, Institute for Liver and Digestive Health, University College London (UCL), London, UK
| | - Mark F Lythgoe
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London (UCL), London, UK
| | - Rajeshwar P Mookerjee
- Division of Medicine, Institute for Liver and Digestive Health, University College London (UCL), London, UK
| | - Alex Menys
- Division of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK
- Motilent, London, UK
| | - Stuart A Taylor
- Division of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK
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Chouhan MD, Ramasawmy R, Bainbridge A, Campbell‐Washburn A, Halligan S, Davies N, Walker‐Samuel S, Lythgoe MF, Mookerjee RP, Taylor SA. Liver perfusion MRI in a rodent model of cirrhosis: Agreement with bulk-flow phase-contrast MRI and noninvasive evaluation of inflammation in chronic liver disease using flow-sensitive alternating inversion recovery arterial spin labelling and tissue T1. NMR IN BIOMEDICINE 2021; 34:e4423. [PMID: 33029872 PMCID: PMC8427466 DOI: 10.1002/nbm.4423] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 08/28/2020] [Accepted: 09/18/2020] [Indexed: 05/03/2023]
Abstract
Noninvasive measurements of liver perfusion and fibrosis in cirrhotic small animals can help develop treatments for haemodynamic complications of liver disease. Here, we measure liver perfusion in cirrhotic rodents using flow-sensitive alternating inversion recovery arterial spin labelling (FAIR ASL), evaluating agreement with previously validated caval subtraction phase-contrast magnetic resonance imaging (PCMRI) total liver blood flow (TLBF). Baseline differences in cirrhotic rodents and the haemodynamic effects of acute inflammation were investigated using FAIR ASL and tissue T1. Sprague-Dawley rats (nine bile duct ligated [BDL] and ten sham surgery controls) underwent baseline hepatic FAIR ASL with T1 measurement and caval subtraction PCMRI (with two-dimensional infra-/supra-hepatic inferior vena caval studies), induction of inflammation with intravenous lipopolysaccharide (LPS) and repeat liver FAIR ASL with T1 measurement after ~90 minutes. The mean difference between FAIR ASL hepatic perfusion and caval subtraction PCMRI TLBF was -51 ± 30 ml/min/100 g (Bland-Altman 95% limits-of-agreement ±258 ml/min/100 g). The FAIR ASL coefficient of variation was smaller than for caval subtraction PCMRI (29.3% vs 50.1%; P = .03). At baseline, FAIR ASL liver perfusion was lower in BDL rats (199 ± 32 ml/min/100 g vs sham 316 ± 24 ml/min/100 g; P = .01) but liver T1 was higher (BDL 1533 ± 50 vs sham 1256 ± 18 ms; P = .0004). Post-LPS FAIR ASL liver perfusion response differences were observed between sham/BDL rats (P = .02), approaching significance in sham (+78 ± 33 ml/min/100 g; P = .06) but not BDL rats (-49 ± 40 ml/min/100 g; P = .47). Post-LPS differences in liver tissue T1 were nonsignificant (P = .35). FAIR ASL hepatic perfusion and caval subtraction PCMRI TLBF agreement was modest, with significant baseline FAIR ASL liver perfusion and tissue T1 differences in rodents with advanced cirrhosis compared with controls. Following inflammatory stress, differences in hepatic perfusion response were detected between cirrhotic/control animals, but liver T1 was unaffected. Findings underline the potential of FAIR ASL in the assessment of vasoactive treatments for patients with chronic liver disease and inflammation.
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Chouhan MD, Taylor SA, Bainbridge A, Walker-Samuel S, Davies N, Halligan S, Lythgoe MF, Mookerjee RP. Haemodynamic changes in cirrhosis following terlipressin and induction of sepsis-a preclinical study using caval subtraction phase-contrast and cardiac MRI. Eur Radiol 2020; 31:2518-2528. [PMID: 33044649 PMCID: PMC7979649 DOI: 10.1007/s00330-020-07259-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/11/2020] [Accepted: 09/04/2020] [Indexed: 12/28/2022]
Abstract
Objectives Effects of liver disease on portal venous (PV), hepatic arterial (HA), total liver blood flow (TLBF), and cardiac function are poorly understood. Terlipressin modulates PV flow but effects on HA, TLBF, and sepsis/acute-on-chronic liver failure (ACLF)-induced haemodynamic changes are poorly characterised. In this study, we investigated the effects of terlipressin and sepsis/ACLF on hepatic haemodynamics and cardiac function in a rodent cirrhosis model using caval subtraction phase-contrast (PC) MRI and cardiac cine MRI. Methods Sprague-Dawley rats (n = 18 bile duct–ligated (BDL), n = 16 sham surgery controls) underwent caval subtraction PCMRI to estimate TLBF and HA flow and short-axis cardiac cine MRI for systolic function at baseline, following terlipressin and lipopolysaccharide (LPS) infusion, to model ACLF. Results All baseline hepatic haemodynamic/cardiac systolic function parameters (except heart rate and LV mass) were significantly different in BDL rats. Following terlipressin, baseline PV flow (sham 181.4 ± 12.1 ml/min/100 g; BDL 68.5 ± 10.1 ml/min/100 g) reduced (sham − 90.3 ± 11.1 ml/min/100 g, p < 0.0001; BDL − 31.0 ± 8.0 ml/min/100 g, p = 0.02), sham baseline HA flow (33.0 ± 11.3 ml/min/100 g) increased (+ 92.8 ± 21.3 ml/min/100 g, p = 0.0003), but BDL baseline HA flow (83.8 ml/min/100 g) decreased (− 34.4 ± 7.5 ml/min/100 g, p = 0.11). Sham baseline TLBF (214.3 ± 16.7 ml/min/100 g) was maintained (+ 2.5 ± 14.0 ml/min/100 g, p > 0.99) but BDL baseline TLBF (152.3 ± 18.7 ml/min/100 g) declined (− 65.5 ± 8.5 ml/min/100 g, p = 0.0004). Following LPS, there were significant differences between cohort and change in HA fraction (p = 0.03) and TLBF (p = 0.01) with BDL baseline HA fraction (46.2 ± 4.6%) reducing (− 20.9 ± 7.5%, p = 0.03) but sham baseline HA fraction (38.2 ± 2.0%) remaining unchanged (+ 2.9 ± 6.1%, p > 0.99). Animal cohort and change in systolic function interactions were significant only for heart rate (p = 0.01) and end-diastolic volume (p = 0.03). Conclusions Caval subtraction PCMRI and cardiac MRI in a rodent model of cirrhosis demonstrate significant baseline hepatic haemodynamic/cardiac differences, failure of the HA buffer response post-terlipressin and an altered HA fraction response in sepsis, informing potential translation to ACLF patients. Key Points Caval subtraction phase-contrast and cardiac MRI demonstrate: • Significant differences between cirrhotic/non-cirrhotic rodent hepatic blood flow and cardiac systolic function at baseline. • Failure of the hepatic arterial buffer response in cirrhotic rodents in response to terlipressin. • Reductions in hepatic arterial flow fraction in the setting of acute-on-chronic liver failure.
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Affiliation(s)
- Manil D Chouhan
- Centre for Medical Imaging, Division of Medicine, UCL, University College London (UCL), London, UK
| | - Stuart A Taylor
- Centre for Medical Imaging, Division of Medicine, UCL, University College London (UCL), London, UK
| | - Alan Bainbridge
- Department of Medical Physics, University College London Hospitals NHS Trust, London, UK
| | - Simon Walker-Samuel
- Centre for Advanced Biomedical Imaging, Division of Medicine, UCL, University College London (UCL), London, UK
| | - Nathan Davies
- Institute for Liver and Digestive Health, Division of Medicine, UCL, Royal Free Hospital, University College London (UCL), NW3 2PF, London, UK
| | - Steve Halligan
- Centre for Medical Imaging, Division of Medicine, UCL, University College London (UCL), London, UK
| | - Mark F Lythgoe
- Centre for Advanced Biomedical Imaging, Division of Medicine, UCL, University College London (UCL), London, UK
| | - Rajeshwar P Mookerjee
- Institute for Liver and Digestive Health, Division of Medicine, UCL, Royal Free Hospital, University College London (UCL), NW3 2PF, London, UK.
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Fragkos KC, Picasso Bouroncle MC, Kumar S, Caselton L, Menys A, Bainbridge A, Taylor SA, Torrealdea F, Kumagai T, Di Caro S, Rahman F, Macnaughtan J, Chouhan MD, Mehta S. Serum Scoring and Quantitative Magnetic Resonance Imaging in Intestinal Failure-Associated Liver Disease: A Feasibility Study. Nutrients 2020; 12:E2151. [PMID: 32707726 PMCID: PMC7400956 DOI: 10.3390/nu12072151] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 07/08/2020] [Accepted: 07/13/2020] [Indexed: 01/20/2023] Open
Abstract
(1) Background: Intestinal failure-associated liver disease (IFALD) in adults is characterized by steatosis with variable progression to fibrosis/cirrhosis. Reference standard liver biopsy is not feasible for all patients, but non-invasive serological and quantitative MRI markers for diagnosis/monitoring have not been previously validated. Here, we examine the potential of serum scores and feasibility of quantitative MRI used in non-IFALD liver diseases for the diagnosis of IFALD steatosis; (2) Methods: Clinical and biochemical parameters were used to calculate serum scores in patients on home parenteral nutrition (HPN) with/without IFALD steatosis. A sub-group underwent multiparameter quantitative MRI measurements of liver fat fraction, iron content, tissue T1, liver blood flow and small bowel motility; (3) Results: Compared to non-IFALD (n = 12), patients with IFALD steatosis (n = 8) demonstrated serum score elevations in Enhanced Liver Fibrosis (p = 0.032), Aspartate transaminase-to-Platelet Ratio Index (p < 0.001), Fibrosis-4 Index (p = 0.010), Forns Index (p = 0.001), Gamma-glutamyl transferase-to-Platelet Ratio Index (p = 0.002) and Fibrosis Index (p = 0.001). Quantitative MRI scanning was feasible in all 10 sub-group patients. Median liver fat fraction was higher in IFALD steatosis patients (10.9% vs 2.1%, p = 0.032); other parameter differences were non-significant; (4) Conclusion: Serum scores used for non-IFALD liver diseases may be useful in IFALD steatosis. Multiparameter MRI is feasible in patients on HPN.
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Affiliation(s)
- Konstantinos C. Fragkos
- Intestinal Failure Service, Gastrointestinal Services, University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK; (K.C.F.); (M.C.P.B.); (S.D.C.); (F.R.)
- UCL Division of Medicine, University College London, London WC1E 6BT, UK;
| | - María Claudia Picasso Bouroncle
- Intestinal Failure Service, Gastrointestinal Services, University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK; (K.C.F.); (M.C.P.B.); (S.D.C.); (F.R.)
- UCL Division of Medicine, University College London, London WC1E 6BT, UK;
| | - Shankar Kumar
- UCL Centre for Medical Imaging, University College London, London WC1E 6BT, UK; (S.K.); (L.C.); (A.M.); (S.A.T.)
| | - Lucy Caselton
- UCL Centre for Medical Imaging, University College London, London WC1E 6BT, UK; (S.K.); (L.C.); (A.M.); (S.A.T.)
| | - Alex Menys
- UCL Centre for Medical Imaging, University College London, London WC1E 6BT, UK; (S.K.); (L.C.); (A.M.); (S.A.T.)
| | - Alan Bainbridge
- Department of Medical Physics, University College London Hospitals NHS Foundation Trust, London WC1N 3BG, UK; (A.B.); (F.T.)
| | - Stuart A. Taylor
- UCL Centre for Medical Imaging, University College London, London WC1E 6BT, UK; (S.K.); (L.C.); (A.M.); (S.A.T.)
| | - Francisco Torrealdea
- Department of Medical Physics, University College London Hospitals NHS Foundation Trust, London WC1N 3BG, UK; (A.B.); (F.T.)
| | - Tomoko Kumagai
- UCL Division of Medicine, University College London, London WC1E 6BT, UK;
| | - Simona Di Caro
- Intestinal Failure Service, Gastrointestinal Services, University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK; (K.C.F.); (M.C.P.B.); (S.D.C.); (F.R.)
- UCL Division of Medicine, University College London, London WC1E 6BT, UK;
| | - Farooq Rahman
- Intestinal Failure Service, Gastrointestinal Services, University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK; (K.C.F.); (M.C.P.B.); (S.D.C.); (F.R.)
- UCL Division of Medicine, University College London, London WC1E 6BT, UK;
| | - Jane Macnaughtan
- UCL Institute for Liver and Digestive Health, University College London, London WC1E 6BT, UK;
| | - Manil D. Chouhan
- UCL Centre for Medical Imaging, University College London, London WC1E 6BT, UK; (S.K.); (L.C.); (A.M.); (S.A.T.)
| | - Shameer Mehta
- Intestinal Failure Service, Gastrointestinal Services, University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK; (K.C.F.); (M.C.P.B.); (S.D.C.); (F.R.)
- UCL Division of Medicine, University College London, London WC1E 6BT, UK;
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10
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Tanwar S, Rhodes F, Srivastava A, Trembling PM, Rosenberg WM. Inflammation and fibrosis in chronic liver diseases including non-alcoholic fatty liver disease and hepatitis C. World J Gastroenterol 2020; 26:109-133. [PMID: 31969775 PMCID: PMC6962431 DOI: 10.3748/wjg.v26.i2.109] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 12/18/2019] [Accepted: 01/01/2020] [Indexed: 02/06/2023] Open
Abstract
At present chronic liver disease (CLD), the third commonest cause of premature death in the United Kingdom is detected late, when interventions are ineffective, resulting in considerable morbidity and mortality. Injury to the liver, the largest solid organ in the body, leads to a cascade of inflammatory events. Chronic inflammation leads to the activation of hepatic stellate cells that undergo trans-differentiation to become myofibroblasts, the main extra-cellular matrix producing cells in the liver; over time increased extra-cellular matrix production results in the formation of liver fibrosis. Although fibrogenesis may be viewed as having evolved as a “wound healing” process that preserves tissue integrity, sustained chronic fibrosis can become pathogenic culminating in CLD, cirrhosis and its associated complications. As the reference standard for detecting liver fibrosis, liver biopsy, is invasive and has an associated morbidity, the diagnostic assessment of CLD by non-invasive testing is attractive. Accordingly, in this review the mechanisms by which liver inflammation and fibrosis develop in chronic liver diseases are explored to identify appropriate and meaningful diagnostic targets for clinical practice. Due to differing disease prevalence and treatment efficacy, disease specific diagnostic targets are required to optimally manage individual CLDs such as non-alcoholic fatty liver disease and chronic hepatitis C infection. To facilitate this, a review of the pathogenesis of both conditions is also conducted. Finally, the evidence for hepatic fibrosis regression and the mechanisms by which this occurs are discussed, including the current use of antifibrotic therapy.
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Affiliation(s)
- Sudeep Tanwar
- UCL Institute for Liver and Digestive Health, Division of Medicine, University College London, Royal Free Campus, Hampstead, London NW3 2PF United Kingdom
- Department of Gastroenterology, Whipps Cross University Hospital, Barts Health NHS Trust, Leytonstone, London E11 1NR, United Kingdom
| | - Freya Rhodes
- UCL Institute for Liver and Digestive Health, Division of Medicine, University College London, Royal Free Campus, Hampstead, London NW3 2PF United Kingdom
| | - Ankur Srivastava
- UCL Institute for Liver and Digestive Health, Division of Medicine, University College London, Royal Free Campus, Hampstead, London NW3 2PF United Kingdom
| | - Paul M Trembling
- UCL Institute for Liver and Digestive Health, Division of Medicine, University College London, Royal Free Campus, Hampstead, London NW3 2PF United Kingdom
| | - William M Rosenberg
- UCL Institute for Liver and Digestive Health, Division of Medicine, University College London, Royal Free Campus, Hampstead, London NW3 2PF United Kingdom
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11
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Chouhan MD, Taylor SA, Mookerjee RP. Multi-organ quantitative MRI for the assessment of liver disease - A whole much more than the sum of its parts. J Hepatol 2018; 69:996-998. [PMID: 30227985 DOI: 10.1016/j.jhep.2018.09.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 09/05/2018] [Indexed: 12/04/2022]
Affiliation(s)
- Manil D Chouhan
- University College London (UCL) Centre for Medical Imaging, Division of Medicine, UCL, London, UK.
| | - Stuart A Taylor
- University College London (UCL) Centre for Medical Imaging, Division of Medicine, UCL, London, UK
| | - Rajeshwar P Mookerjee
- University College London (UCL) Institute for Liver and Digestive Health, Division of Medicine, UCL, London, UK
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12
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Garpebring A, Löfstedt T. Parameter estimation using weighted total least squares in the two-compartment exchange model. Magn Reson Med 2017; 79:561-567. [PMID: 28349618 DOI: 10.1002/mrm.26677] [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: 11/30/2016] [Revised: 02/02/2017] [Accepted: 02/21/2017] [Indexed: 12/14/2022]
Abstract
PURPOSE The linear least squares (LLS) estimator provides a fast approach to parameter estimation in the linearized two-compartment exchange model. However, the LLS method may introduce a bias through correlated noise in the system matrix of the model. The purpose of this work is to present a new estimator for the linearized two-compartment exchange model that takes this noise into account. METHOD To account for the noise in the system matrix, we developed an estimator based on the weighted total least squares (WTLS) method. Using simulations, the proposed WTLS estimator was compared, in terms of accuracy and precision, to an LLS estimator and a nonlinear least squares (NLLS) estimator. RESULTS The WTLS method improved the accuracy compared to the LLS method to levels comparable to the NLLS method. This improvement was at the expense of increased computational time; however, the WTLS was still faster than the NLLS method. At high signal-to-noise ratio all methods provided similar precisions while inconclusive results were observed at low signal-to-noise ratio. CONCLUSION The proposed method provides improvements in accuracy compared to the LLS method, however, at an increased computational cost. Magn Reson Med 79:561-567, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
| | - Tommy Löfstedt
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
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13
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Multiparametric magnetic resonance imaging to predict clinical outcomes in patients with chronic liver disease: A cautionary note on a promising technique. J Hepatol 2017; 66:455-457. [PMID: 27984173 DOI: 10.1016/j.jhep.2016.09.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 09/19/2016] [Accepted: 09/21/2016] [Indexed: 12/21/2022]
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14
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Chouhan MD, Bainbridge A, Atkinson D, Punwani S, Mookerjee RP, Lythgoe MF, Taylor SA. Improved hepatic arterial fraction estimation using cardiac output correction of arterial input functions for liver DCE MRI. Phys Med Biol 2016; 62:1533-1546. [PMID: 28002045 PMCID: PMC5953239 DOI: 10.1088/1361-6560/aa553c] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Liver dynamic contrast enhanced (DCE) MRI pharmacokinetic modelling could be useful in the assessment of diffuse liver disease and focal liver lesions, but is compromised by errors in arterial input function (AIF) sampling. In this study, we apply cardiac output correction to arterial input functions (AIFs) for liver DCE MRI and investigate the effect on dual-input single compartment hepatic perfusion parameter estimation and reproducibility. Thirteen healthy volunteers (28.7 ± 1.94 years, seven males) underwent liver DCE MRI and cardiac output measurement using aortic root phase contrast MRI (PCMRI), with reproducibility (n = 9) measured at 7 d. Cardiac output AIF correction was undertaken by constraining the first pass AIF enhancement curve using the indicator-dilution principle. Hepatic perfusion parameters with and without cardiac output AIF correction were compared and 7 d reproducibility assessed. Differences between cardiac output corrected and uncorrected liver DCE MRI portal venous (PV) perfusion (p = 0.066), total liver blood flow (TLBF) (p = 0.101), hepatic arterial (HA) fraction (p = 0.895), mean transit time (MTT) (p = 0.646), distribution volume (DV) (p = 0.890) were not significantly different. Seven day corrected HA fraction reproducibility was improved (mean difference 0.3%, Bland–Altman 95% limits-of-agreement (BA95%LoA) ±27.9%, coefficient of variation (CoV) 61.4% versus 9.3%, ±35.5%, 81.7% respectively without correction). Seven day uncorrected PV perfusion was also improved (mean difference 9.3 ml min−1/100 g, BA95%LoA ±506.1 ml min−1/100 g, CoV 64.1% versus 0.9 ml min−1/100 g, ±562.8 ml min−1/100 g, 65.1% respectively with correction) as was uncorrected TLBF (mean difference 43.8 ml min−1/100 g, BA95%LoA ±586.7 ml min−1/ 100 g, CoV 58.3% versus 13.3 ml min−1/100 g, ±661.5 ml min−1/100 g, 60.9% respectively with correction). Reproducibility of uncorrected MTT was similar (uncorrected mean difference 2.4 s, BA95%LoA ±26.7 s, CoV 60.8% uncorrected versus 3.7 s, ±27.8 s, 62.0% respectively with correction), as was and DV (uncorrected mean difference 14.1%, BA95%LoA ±48.2%, CoV 24.7% versus 10.3%, ±46.0%, 23.9% respectively with correction). Cardiac output AIF correction does not significantly affect the estimation of hepatic perfusion parameters but demonstrates improvements in normal volunteer 7 d HA fraction reproducibility, but deterioration in PV perfusion and TLBF reproducibility. Improved HA fraction reproducibility maybe important as arterialisation of liver perfusion is increased in chronic liver disease and within malignant liver lesions.
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Affiliation(s)
- Manil D Chouhan
- Division of Medicine, University College London (UCL) Centre for Medical Imaging, UCL, London, UK
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15
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Chouhan MD, Bainbridge A, Atkinson D, Punwani S, Mookerjee RP, Lythgoe MF, Taylor SA. Estimation of contrast agent bolus arrival delays for improved reproducibility of liver DCE MRI. Phys Med Biol 2016; 61:6905-6918. [PMID: 27618594 PMCID: PMC5390945 DOI: 10.1088/0031-9155/61/19/6905] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Delays between contrast agent (CA) arrival at the site of vascular input function (VIF) sampling and the tissue of interest affect dynamic contrast enhanced (DCE) MRI pharmacokinetic modelling. We investigate effects of altering VIF CA bolus arrival delays on liver DCE MRI perfusion parameters, propose an alternative approach to estimating delays and evaluate reproducibility. Thirteen healthy volunteers (28.7 ± 1.9 years, seven males) underwent liver DCE MRI using dual-input single compartment modelling, with reproducibility (n = 9) measured at 7 days. Effects of VIF CA bolus arrival delays were assessed for arterial and portal venous input functions. Delays were pre-estimated using linear regression, with restricted free modelling around the pre-estimated delay. Perfusion parameters and 7 days reproducibility were compared using this method, freely modelled delays and no delays using one-way ANOVA. Reproducibility was assessed using Bland–Altman analysis of agreement. Maximum percent change relative to parameters obtained using zero delays, were −31% for portal venous (PV) perfusion, +43% for total liver blood flow (TLBF), +3247% for hepatic arterial (HA) fraction, +150% for mean transit time and −10% for distribution volume. Differences were demonstrated between the 3 methods for PV perfusion (p = 0.0085) and HA fraction (p < 0.0001), but not other parameters. Improved mean differences and Bland–Altman 95% Limits-of-Agreement for reproducibility of PV perfusion (9.3 ml/min/100 g, ±506.1 ml/min/100 g) and TLBF (43.8 ml/min/100 g, ±586.7 ml/min/100 g) were demonstrated using pre-estimated delays with constrained free modelling. CA bolus arrival delays cause profound differences in liver DCE MRI quantification. Pre-estimation of delays with constrained free modelling improved 7 days reproducibility of perfusion parameters in volunteers.
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Affiliation(s)
- Manil D Chouhan
- University College London (UCL) Centre for Medical Imaging, Division of Medicine, UCL, London, UK
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