1
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Boudreau M, Karakuzu A, Cohen-Adad J, Bozkurt E, Carr M, Castellaro M, Concha L, Doneva M, Dual SA, Ensworth A, Foias A, Fortier V, Gabr RE, Gilbert G, Glide-Hurst CK, Grech-Sollars M, Hu S, Jalnefjord O, Jovicich J, Keskin K, Koken P, Kolokotronis A, Kukran S, Lee NG, Levesque IR, Li B, Ma D, Mädler B, Maforo NG, Near J, Pasaye E, Ramirez-Manzanares A, Statton B, Stehning C, Tambalo S, Tian Y, Wang C, Weiss K, Zakariaei N, Zhang S, Zhao Z, Stikov N. Repeat it without me: Crowdsourcing the T 1 mapping common ground via the ISMRM reproducibility challenge. Magn Reson Med 2024. [PMID: 38730562 DOI: 10.1002/mrm.30111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/21/2024] [Accepted: 03/23/2024] [Indexed: 05/13/2024]
Abstract
PURPOSE T1 mapping is a widely used quantitative MRI technique, but its tissue-specific values remain inconsistent across protocols, sites, and vendors. The ISMRM Reproducible Research and Quantitative MR study groups jointly launched a challenge to assess the reproducibility of a well-established inversion-recovery T1 mapping technique, using acquisition details from a seminal T1 mapping paper on a standardized phantom and in human brains. METHODS The challenge used the acquisition protocol from Barral et al. (2010). Researchers collected T1 mapping data on the ISMRM/NIST phantom and/or in human brains. Data submission, pipeline development, and analysis were conducted using open-source platforms. Intersubmission and intrasubmission comparisons were performed. RESULTS Eighteen submissions (39 phantom and 56 human datasets) on scanners by three MRI vendors were collected at 3 T (except one, at 0.35 T). The mean coefficient of variation was 6.1% for intersubmission phantom measurements, and 2.9% for intrasubmission measurements. For humans, the intersubmission/intrasubmission coefficient of variation was 5.9/3.2% in the genu and 16/6.9% in the cortex. An interactive dashboard for data visualization was also developed: https://rrsg2020.dashboards.neurolibre.org. CONCLUSION The T1 intersubmission variability was twice as high as the intrasubmission variability in both phantoms and human brains, indicating that the acquisition details in the original paper were insufficient to reproduce a quantitative MRI protocol. This study reports the inherent uncertainty in T1 measures across independent research groups, bringing us one step closer to a practical clinical baseline of T1 variations in vivo.
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Affiliation(s)
- Mathieu Boudreau
- NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada
- Montreal Heart Institute, Montréal, Quebec, Canada
| | - Agah Karakuzu
- NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Julien Cohen-Adad
- NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada
- Montreal Heart Institute, Montréal, Quebec, Canada
- Unité de Neuroimagerie Fonctionnelle, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Mila-Quebec AI Institute, Montréal, Québec, Canada
- Centre de Recherche du CHU Sainte-Justine, Université de Montréal, Montréal, Québec, Canada
| | - Ecem Bozkurt
- Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA
| | - Madeline Carr
- Medical Physics, Ingham Institute for Applied Medical Research, Liverpool, Australia
- Department of Medical Physics, Liverpool and Macarthur Cancer Therapy Centers, Liverpool, Australia
| | - Marco Castellaro
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Luis Concha
- Institute of Neurobiology, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico
| | | | - Seraina A Dual
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Alex Ensworth
- Medical Physics Unit, McGill University, Montréal, Québec, Canada
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexandru Foias
- NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada
| | - Véronique Fortier
- Department of Medical Imaging, McGill University Health Center, Montréal, Québec, Canada
- Department of Radiology, McGill University, Montréal, Québec, Canada
| | - Refaat E Gabr
- Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, Texas, USA
| | | | - Carri K Glide-Hurst
- Department of Human Oncology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Matthew Grech-Sollars
- Center for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Siyuan Hu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Oscar Jalnefjord
- Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jorge Jovicich
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Kübra Keskin
- Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA
| | | | - Anastasia Kolokotronis
- Medical Physics Unit, McGill University, Montréal, Québec, Canada
- Hopital Maisonneuve-Rosemont, Montréal, Québec, Canada
| | - Simran Kukran
- Bioengineering, Imperial College London, London, UK
- Radiotherapy and Imaging, Institute of Cancer Research, Imperial College London, London, UK
| | - Nam G Lee
- Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA
| | - Ives R Levesque
- Medical Physics Unit, McGill University, Montréal, Québec, Canada
- Research Institute of the McGill University Health Center, Montréal, Québec, Canada
| | - Bochao Li
- Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA
| | - Dan Ma
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | | | - Nyasha G Maforo
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California, USA
- Physics and Biology in Medicine IDP, University of California Los Angeles, Los Angeles, California, USA
| | - Jamie Near
- Douglas Brain Imaging Center, Montréal, Québec, Canada
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Erick Pasaye
- Institute of Neurobiology, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico
| | | | - Ben Statton
- Medical Research Council, London Institute of Medical Sciences, Imperial College London, London, UK
| | | | - Stefano Tambalo
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Ye Tian
- Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA
| | - Chenyang Wang
- Department of Radiation Oncology-CNS Service, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Kilian Weiss
- Clinical Science, Philips Healthcare, Hamburg, Germany
| | - Niloufar Zakariaei
- Department of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Shuo Zhang
- Clinical Science, Philips Healthcare, Hamburg, Germany
| | - Ziwei Zhao
- Magnetic Resonance Engineering Laboratory, University of Southern California, Los Angeles, California, USA
| | - Nikola Stikov
- NeuroPoly Lab, Polytechnique Montréal, Montréal, Quebec, Canada
- Montreal Heart Institute, Montréal, Quebec, Canada
- Center for Advanced Interdisciplinary Research, Ss. Cyril and Methodius University, Skopje, North Macedonia
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2
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Hu C, Grech‐Sollars M, Statton B, Li Z, Gao F, Williams GR, Parker GJM, Zhou F. Direct jet coaxial electrospinning of axon-mimicking fibers for diffusion tensor imaging. POLYM ADVAN TECHNOL 2023; 34:2573-2584. [PMID: 38505514 PMCID: PMC10946859 DOI: 10.1002/pat.6073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/01/2023] [Accepted: 04/16/2023] [Indexed: 03/21/2024]
Abstract
Hollow polymer microfibers with variable microstructural and hydrophilic properties were proposed as building elements to create axon-mimicking phantoms for validation of diffusion tensor imaging (DTI). The axon-mimicking microfibers were fabricated in a mm-thick 3D anisotropic fiber strip, by direct jet coaxial electrospinning of PCL/polysiloxane-based surfactant (PSi) mixture as shell and polyethylene oxide (PEO) as core. Hydrophilic PCL-PSi fiber strips were first obtained by carefully selecting appropriate solvents for the core and appropriate fiber collector rotating and transverse speeds. The porous cross-section and anisotropic orientation of axon-mimicking fibers were then quantitatively evaluated using two ImageJ plugins-nearest distance (ND) and directionality based on their scanning electron microscopy (SEM) images. Third, axon-mimicking phantom was constructed from PCL-PSi fiber strips with variable porous-section and fiber orientation and tested on a 3T clinical MR scanner. The relationship between DTI measurements (mean diffusivity [MD] and fractional anisotropy [FA]) of phantom samples and their pore size and fiber orientation was investigated. Two key microstructural parameters of axon-mimicking phantoms including normalized pore distance and dispersion of fiber orientation could well interpret the variations in DTI measurements. Two PCL-PSi phantom samples made from different regions of the same fiber strips were found to have similar MD and FA values, indicating that the direct jet coaxial electrospun fiber strips had consistent microstructure. More importantly, the MD and FA values of the developed axon-mimicking phantoms were mostly in the biologically relevant range.
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Affiliation(s)
- Chunyan Hu
- College of Textiles and ClothingQingdao UniversityQingdaoChina
| | - Matthew Grech‐Sollars
- Department of Computer ScienceUniversity College LondonLondonUK
- Lysholm Department of Neuroradiology, National Hospital for Neurology and NeurosurgeryUniversity College London Hospitals NHS Foundation TrustLondonUK
| | - Ben Statton
- Medical Research Council, London Institute of Medical SciencesImperial College LondonLondonUK
| | - Zhanxiong Li
- College of Textile and Clothing EngineeringSoochow UniversitySuzhouChina
| | - Fei Gao
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of MedicineShandong UniversityJinanChina
| | | | - Geoff J. M. Parker
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
- Bioxydyn LimitedManchesterUK
| | - Feng‐Lei Zhou
- College of Textiles and ClothingQingdao UniversityQingdaoChina
- School of PharmacyUniversity College LondonLondonUK
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
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3
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Hubbard Cristinacce PL, Markus JE, Punwani S, Mills R, Lopez MY, Grech-Sollars M, Fasano F, Waterton JC, Thrippleton MJ, Hall MG, O'Connor JPB, Francis ST, Statton B, Murphy K, So PW, Hyare H. Steps on the Path to Clinical Translation: A workshop by the British and Irish Chapter of the ISMRM. Magn Reson Med 2023. [PMID: 37222226 DOI: 10.1002/mrm.29704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/24/2023] [Accepted: 04/24/2023] [Indexed: 05/25/2023]
Abstract
The British and Irish Chapter of the International Society for Magnetic Resonance in Medicine (BIC-ISMRM) held a workshop entitled "Steps on the path to clinical translation" in Cardiff, UK, on 7th September 2022. The aim of the workshop was to promote discussion within the MR community about the problems and potential solutions for translating quantitative MR (qMR) imaging and spectroscopic biomarkers into clinical application and drug studies. Invited speakers presented the perspectives of radiologists, radiographers, clinical physicists, vendors, imaging Contract/Clinical Research Organizations (CROs), open science networks, metrologists, imaging networks, and those developing consensus methods. A round-table discussion was held in which workshop participants discussed a range of questions pertinent to clinical translation of qMR imaging and spectroscopic biomarkers. Each group summarized their findings via three main conclusions and three further questions. These questions were used as the basis of an online survey of the broader UK MR community.
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Affiliation(s)
- Penny L Hubbard Cristinacce
- Quantitative Biomedical Imaging Laboratory, Division of Cancer Sciences, School of Health Sciences, Faculty of Biology Medicine & Health, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Julia E Markus
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Shonit Punwani
- Centre for Medical Imaging, Division of Medicine, University College London, London, UK
| | - Rebecca Mills
- University of Oxford, Centre for Clinical Magnetic Resonance Research, The John Radcliffe Hospital, Oxford, UK
| | - Maria Yanez Lopez
- MR Physics Group, Department of Medical Physics and Clinical Engineering, Swansea Bay University Health Board, Singleton Hospital, Swansea, UK
| | - Matthew Grech-Sollars
- Department of Computer Science, University College London, London, UK
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | | | - John C Waterton
- Centre for Imaging Sciences, Division of Informatics Imaging & Data Sciences, School of Health Sciences, Faculty of Biology Medicine & Health, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
- Bioxydyn Limited, Rutherford House, Manchester Science Park, Manchester, UK
| | - Michael J Thrippleton
- Edinburgh Imaging/Centre for Clinical Brain Sciences, University of Edinburgh, The Chancellor's Building, Edinburgh, UK
| | - Matt G Hall
- National Physical Laboratory, Teddington, UK
| | - James P B O'Connor
- Quantitative Biomedical Imaging Laboratory, Division of Cancer Sciences, School of Health Sciences, Faculty of Biology Medicine & Health, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Susan T Francis
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Ben Statton
- MRC London Institute of Medical Sciences, Du Cane Road, Imperial College London, London, UK
| | - Kevin Murphy
- Cardiff University Brain Research Imaging Centre, School of Physics and Astronomy, Cardiff, UK
| | - Po-Wah So
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Harpreet Hyare
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
- Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK
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4
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Patel K, Bajaj N, Statton B, Li X, Herath NS, Nyamakope K, Davidson R, Stoks J, Purkayastha S, Ware JS, O'Regan DP, Lambiase PD, Cluitmans M, Peters NS, Ng FS. Bariatric surgery reverses ventricular repolarisation heterogeneity in obesity: mechanistic insights into fat-related arrhythmic risk. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Obesity is a growing global health problem that confers higher risks of atrial arrhythmias and sudden cardiac death. Despite this, the proarrhythmic substrate in obesity and its reversibility with weight loss has not been studied in-depth.
Purpose
To characterise the proarrhythmic substrate in obese patients, and its reversibility with bariatric surgery, using electrocardiographic imaging (ECGi).
Methods
ECGi was performed in 16 obese patients pre-bariatric surgery (PreSurg; mean age 43±12 years, 13 female) and 16 age- and sex-matched non-obese (lean) individuals (42±11 years). 12 of the 16 obese patients also underwent ECGi after bariatric surgery (PostSurg). Over 2000 atrial and ventricular epicardial electrograms were computed using high density body surface mapping (256-lead ECG) and heart-torso geometries from cardiac magnetic resonance imaging, by solving the inverse problem of electrocardiography. Local atrial and ventricular epicardial activation times (AT) were calculated as the steepest downslope of their respective activation complexes, and local ventricular repolarisation times (RT) as the steepest upslope of the T-wave. Atrial activation gradients (ATG) and ventricular repolarisation gradients (RTG) were calculated as the maximum difference within 10 mm radius divided by the corresponding distance.
Results
Body mass index was greater in PreSurg vs lean (46.7±5.5 vs 22.8±2.6 kg/m2, p<0.0001) and decreased with surgery (PostSurg 36.8±6.5 kg/m2, p<0.0001). Epicardial adipose tissue (EAT) was greater in PreSurg vs lean (83±56 vs 28±13 ml, p<0.0001) and decreased post-surgery (PostSurg 69±45 ml, p=0.0010). Total atrial AT was prolonged in PreSurg vs lean (62±15 vs 46±12 ms, p=0.0028), which persisted post-surgery (PostSurg 67±15 ms, p=0.86). Atrial ATG were also greater in PreSurg vs lean (26±11 vs 14±8 ms, p=0.0007) and did not change with weight loss (PostSurg 25±12, p=0.44). Ventricular RTG were greater in PreSurg vs lean (26±11 vs 15±7 ms/mm, p=0.0024) and decreased with weight loss (PostSurg 19±8, p=0.0009). Ventricular RTG were similar between PostSurg and lean (p=0.20). EAT from lean and PreSurg individuals correlated with atrial ATG (r=0.36, p=0.044) and ventricular RTG (r=0.54, p=0.0014). Ventricular AT were similar between lean (31±6 ms), PreSurg (34±5 ms) and PostSurg (35±9 ms); all p>0.05.
Conclusion
Steep ventricular repolarisation gradients and prolonged atrial activation contribute to the proarrhythmic substrate in obesity. Ventricular repolarisation gradients correlate with epicardial adiposity and both regress post-bariatric surgery. By contrast, atrial activation remains prolonged after weight loss. These results provide mechanistic insights into obesity-related arrhythmic risks and their reversibility with weight loss following bariatric surgery.
Funding Acknowledgement
Type of funding sources: Other. Main funding source(s): British Heart FoundationNational Institute for Health Research (NIHR) Imperial Biomedical Research Centre (BRC).
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Affiliation(s)
- K Patel
- National Heart and Lung Institute , London , United Kingdom
| | - N Bajaj
- National Heart and Lung Institute , London , United Kingdom
| | - B Statton
- Imperial College London , London , United Kingdom
| | - X Li
- National Heart and Lung Institute , London , United Kingdom
| | - N S Herath
- Imperial College London , London , United Kingdom
| | - K Nyamakope
- Imperial College London , London , United Kingdom
| | - R Davidson
- Imperial College London , London , United Kingdom
| | - J Stoks
- Maastricht University , Maastricht , The Netherlands
| | | | - J S Ware
- National Heart and Lung Institute , London , United Kingdom
| | - D P O'Regan
- Imperial College London , London , United Kingdom
| | - P D Lambiase
- University College London , London , United Kingdom
| | - M Cluitmans
- Maastricht University , Maastricht , The Netherlands
| | - N S Peters
- National Heart and Lung Institute , London , United Kingdom
| | - F S Ng
- National Heart and Lung Institute , London , United Kingdom
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5
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Yang QZC, Hanna L, Statton B, Armour C, ORegan D, Xu Y, Gibbs R. O024 Prognostic value of haemodynamic parameters in predicting adverse clinical events in type B aortic dissection. Br J Surg 2022. [DOI: 10.1093/bjs/znac242.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Abstract
Introduction
Ascertain the prognostic role of in-vivo 4D-flow magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) aortic haemodynamic parameters as predictors of adverse dissection-related events in type B aortic dissection (TBAD).
Methods
A systematic literature search was conducted according to the PRISMA guidelines using electronic databases searched from 1946 to 2021 for studies reporting on the relationship between aortic haemodynamics and aortic dissection-related events defined as aortic growth, aneurysm development, false lumen thrombosis, need for surgery and aortic rupture.
Results
Fourteen studies were included; eleven studies used CFD and three studies used 4D-flow MRI. Two studies found increased FL ejection fraction (EF) significantly associated with aortic growth rate, and another study found increased FL stroke volume significantly associated with increased aortic expansion rate. Result for time-averaged wall shear stress (TAWSS) and relative residence time (RRT) are contradictory; one study found TAWSS significantly associated with aortic wall deformation, but another study found no significant difference. Five studies suggested possible associations between slow flowing regions or increased RRT and FL thrombosis, with another study finding significant associations between FL thrombosis and adverse aortic outcomes. However, one study revealed opposite findings where decreased RRT significantly correlated with aneurysm formation.
Conclusion
In-vivo aortic haemodynamic measurements such as FL EF, FL stroke volume, TAWSS and RRT show possible associations with FL and aortic expansion, as well as FL thrombosis. Larger prospective studies are now needed to determine the prognostic utility of in vivo aortic haemodynamic metrics in predicting TBAD clinical outcomes to guide management.
Take-home message
Aortic haemodynamic parameters measured by 4D-flow magnetic resonance imaging and computational fluid dynamics show promising potential as predictors of adverse dissection-related events in type B aortic dissection.
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Affiliation(s)
- QZC Yang
- School of Medicine, Imperial College London
| | - L Hanna
- Department of Surgery and Cancer, Imperial College London
- Imperial Vascular Unit, Imperial College Healthcare NHS Trust
| | - B Statton
- MRC London Institute of Medical Sciences, Imperial College London
| | - C Armour
- Department of Chemical Engineering, Imperial College London
| | - D ORegan
- MRC London Institute of Medical Sciences, Imperial College London
| | - Y Xu
- Department of Chemical Engineering, Imperial College London
| | - R Gibbs
- Department of Surgery and Cancer, Imperial College London
- Imperial Vascular Unit, Imperial College Healthcare NHS Trust
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6
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Wall MB, Freeman TP, Hindocha C, Demetriou L, Ertl N, Freeman AM, Jones AP, Lawn W, Pope R, Mokrysz C, Solomons D, Statton B, Walker HR, Yamamori Y, Yang Z, Yim JL, Nutt DJ, Howes OD, Curran HV, Bloomfield MA. Individual and combined effects of cannabidiol and Δ 9-tetrahydrocannabinol on striato-cortical connectivity in the human brain. J Psychopharmacol 2022; 36:732-744. [PMID: 35596578 PMCID: PMC9150138 DOI: 10.1177/02698811221092506] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Cannabidiol (CBD) and Δ9-tetrahydrocannabinol (THC) are the two major constituents of cannabis with contrasting mechanisms of action. THC is the major psychoactive, addiction-promoting, and psychotomimetic compound, while CBD may have opposite effects. The brain effects of these drugs alone and in combination are poorly understood. In particular, the striatum is implicated in the pathophysiology of several psychiatric disorders, but it is unclear how THC and CBD influence striato-cortical connectivity. AIMS To examine effects of THC, CBD, and THC + CBD on functional connectivity of striatal sub-divisions (associative, limbic and sensorimotor). METHOD Resting-state functional Magnetic Resonance Imaging (fMRI) was used across two within-subjects, placebo-controlled, double-blind studies, with a unified analysis approach. RESULTS Study 1 (N = 17; inhaled cannabis containing 8 mg THC, 8 mg THC + 10 mg CBD or placebo) showed strong disruptive effects of both THC and THC + CBD on connectivity in the associative and sensorimotor networks, but a specific effect of THC in the limbic striatum network which was not present in the THC + CBD condition. In Study 2 (N = 23, oral 600 mg CBD, placebo), CBD increased connectivity in the associative network, but produced only relatively minor disruptions in the limbic and sensorimotor networks. OUTCOMES THC strongly disrupts striato-cortical networks, but this effect is mitigated by co-administration of CBD in the limbic striatum network. Oral CBD administered has a more complex effect profile of relative increases and decreases in connectivity. The insula emerges as a key region affected by cannabinoid-induced changes in functional connectivity, with potential implications for understanding cannabis-related disorders, and the development of cannabinoid therapeutics.
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Affiliation(s)
- Matthew B Wall
- Invicro London, London, UK.,Clinical Psychopharmacology Unit, University College London, London, UK.,Faculty of Medicine, Imperial College London, London, UK
| | - Tom P Freeman
- Clinical Psychopharmacology Unit, University College London, London, UK.,Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK
| | - Chandni Hindocha
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Lysia Demetriou
- Invicro London, London, UK.,Faculty of Medicine, Imperial College London, London, UK.,Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Natalie Ertl
- Invicro London, London, UK.,Faculty of Medicine, Imperial College London, London, UK
| | - Abigail M Freeman
- Clinical Psychopharmacology Unit, University College London, London, UK
| | | | - Will Lawn
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Rebecca Pope
- Clinical Psychopharmacology Unit, University College London, London, UK
| | - Claire Mokrysz
- Clinical Psychopharmacology Unit, University College London, London, UK
| | | | - Ben Statton
- MRC London Institute of Medical Sciences, London, UK
| | - Hannah R Walker
- Division of Psychiatry, University College London, London, UK
| | - Yumeya Yamamori
- Division of Psychiatry, University College London, London, UK
| | - Zixu Yang
- Faculty of Medicine, Imperial College London, London, UK
| | - Jocelyn Ll Yim
- Division of Psychiatry, University College London, London, UK
| | - David J Nutt
- Faculty of Medicine, Imperial College London, London, UK
| | - Oliver D Howes
- MRC London Institute of Medical Sciences, London, UK.,Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,South London and Maudsley NHS Foundation Trust, London, UK
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, University College London, London, UK
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7
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Patel K, Bajaj N, Li X, Statton B, Stoks J, Nyamakope K, Davidson R, Savvidou S, Purkayastha S, Ware JS, O’regan D, Lambiase P, Cluitmans M, Peters NS, Ng FS. Bariatric surgery reduces ventricular repolarisation gradients in obese patients - results from an electrocardiographic imaging study. Europace 2022. [DOI: 10.1093/europace/euac053.329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public Institution(s). Main funding source(s): National Institute for Health Research (NIHR) British Heart Foundation
Background
Obesity confers higher risks of atrial arrhythmias and is associated with abnormal ventricular repolarisation. Despite this, the proarrhythmic substrate in obesity and its reversibility with weight loss has not been studied in-depth.
Purpose
To characterise the proarrhythmic substrate in obese patients, and its reversibility with bariatric surgery, using electrocardiographic imaging (ECGi).
Methods
ECGi was performed in 8 obese patients before (PreOb) and after (PostOb) bariatric surgery (mean age 39+/-11years, 7 female), and in 8 age- and sex-matched non-obese controls (NOb) (40+/-11 years). ECGi recordings were made at rest, on exercise, and during recovery from exercise. For ECGi analysis, >2000 atrial and ventricular epicardial electrograms were calculated from body surface potential recordings from 256 sites and information from cardiac magnetic resonance imaging, by solving the inverse problem. Local atrial and ventricular epicardial activation times (AT) were calculated as the steepest downslope of their respective activation complexes, and local ventricular repolarisation times (RT) as the steepest upslope of the T-wave. Atrial activation gradients (ATG) and ventricular repolarisation gradients (RTG) were calculated as the maximum difference within 10mm radius divided by the corresponding Euclidean distance.
Results
BMI was greater in PreOb vs NOb (46.6+/-4.8 vs 23.8+/-2.6kg/m2, p<0.0001) and decreased with surgery (PostOb 35.3+/-4.2kg/m2, p<0.0001). Total atrial AT was prolonged in PreOb vs NOb (68+/-12 vs 45+/-10ms, p=0.016) and did not change post-surgery (PreOb vs PostOb: 68+/-12 vs 67+/-16ms, p=0.81). Atrial ATG were also greater in PreOb vs NOb: max 254+/-111 vs 106+/-58ms, p=0.035; mean 24+/-6 vs 12+/-6ms, p=0.0087) and did not change with weight loss (PreOb vs PostOb: max 254+/-111 vs 222+/-69ms/mm, p=0.61; mean 24+/-6 vs 21+/-7ms/mm, p=0.52). Ventricular RTG were greater in PreOb vs NOb (max: 287+/-73 vs 131+/-89ms/mm, p=0.012; mean: 33+/-10 vs 17+/-9ms/mm, p=0.0052). Ventricular RTG decreased with weight loss (PreOb vs PostOb: max 287+/-73 vs 151+/-54ms/mm, p=0.0070; mean: 33+/-10 vs 21+/-8ms/mm, p=0.018), and were similar between PostOb and NOb (max, p=0.81; mean p=0.58). Ventricular AT and RT were non-different in NOb, PreOb and PostOb.
Conclusion
Obesity is associated with pro-arrhythmic electrophysiological remodelling, including steeper ventricular repolarisation gradients and slower atrial activation. At 6 months post-bariatric surgery, there was a reduction in ventricular repolarisation gradients though atrial conduction abnormalities persisted. These findings provide a mechanistic insight into obesity-related arrhythmic risks and its potential reversibility with weight loss surgery.
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Affiliation(s)
- K Patel
- National Heart and Lung Institute, London, United Kingdom of Great Britain & Northern Ireland
| | - N Bajaj
- National Heart and Lung Institute, London, United Kingdom of Great Britain & Northern Ireland
| | - X Li
- National Heart and Lung Institute, London, United Kingdom of Great Britain & Northern Ireland
| | - B Statton
- Imperial College London, London, United Kingdom of Great Britain & Northern Ireland
| | - J Stoks
- Maastricht University, Maastricht, Netherlands (The)
| | - K Nyamakope
- Imperial College London, London, United Kingdom of Great Britain & Northern Ireland
| | - R Davidson
- Imperial College London, London, United Kingdom of Great Britain & Northern Ireland
| | - S Savvidou
- Imperial College London, London, United Kingdom of Great Britain & Northern Ireland
| | - S Purkayastha
- Imperial College London, London, United Kingdom of Great Britain & Northern Ireland
| | - JS Ware
- National Heart and Lung Institute, London, United Kingdom of Great Britain & Northern Ireland
| | - D O’regan
- Imperial College London, London, United Kingdom of Great Britain & Northern Ireland
| | - P Lambiase
- University College London, London, United Kingdom of Great Britain & Northern Ireland
| | - M Cluitmans
- Maastricht University, Maastricht, Netherlands (The)
| | - NS Peters
- National Heart and Lung Institute, London, United Kingdom of Great Britain & Northern Ireland
| | - FS Ng
- National Heart and Lung Institute, London, United Kingdom of Great Britain & Northern Ireland
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8
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Osimo EF, Sweeney M, de Marvao A, Berry A, Statton B, Perry BI, Pillinger T, Whitehurst T, Cook SA, O'Regan DP, Thomas EL, Howes OD. Adipose tissue dysfunction, inflammation, and insulin resistance: alternative pathways to cardiac remodelling in schizophrenia. A multimodal, case-control study. Transl Psychiatry 2021; 11:614. [PMID: 34873143 PMCID: PMC8648771 DOI: 10.1038/s41398-021-01741-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 11/17/2021] [Accepted: 11/23/2021] [Indexed: 12/12/2022] Open
Abstract
Cardiovascular diseases are the leading cause of death in schizophrenia. Patients with schizophrenia show evidence of concentric cardiac remodelling (CCR), defined as an increase in left-ventricular mass over end-diastolic volumes. CCR is a predictor of cardiac disease, but the molecular pathways leading to this in schizophrenia are unknown. We aimed to explore the relevance of hypertensive and non-hypertensive pathways to CCR and their potential molecular underpinnings in schizophrenia. In this multimodal case-control study, we collected cardiac and whole-body fat magnetic resonance imaging (MRI), clinical measures, and blood levels of several cardiometabolic biomarkers known to potentially cause CCR from individuals with schizophrenia, alongside healthy controls (HCs) matched for age, sex, ethnicity, and body surface area. Of the 50 participants, 34 (68%) were male. Participants with schizophrenia showed increases in cardiac concentricity (d = 0.71, 95% CI: 0.12, 1.30; p = 0.01), indicative of CCR, but showed no differences in overall content or regional distribution of adipose tissue compared to HCs. Despite the cardiac changes, participants with schizophrenia did not demonstrate activation of the hypertensive CCR pathway; however, they showed evidence of adipose dysfunction: adiponectin was reduced (d = -0.69, 95% CI: -1.28, -0.10; p = 0.02), with evidence of activation of downstream pathways, including hypertriglyceridemia, elevated C-reactive protein, fasting glucose, and alkaline phosphatase. In conclusion, people with schizophrenia showed adipose tissue dysfunction compared to body mass-matched HCs. The presence of non-hypertensive CCR and a dysmetabolic phenotype may contribute to excess cardiovascular risk in schizophrenia. If our results are confirmed, acting on this pathway could reduce cardiovascular risk and resultant life-years lost in people with schizophrenia.
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Affiliation(s)
- Emanuele F Osimo
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK. .,Department of Psychiatry, University of Cambridge, Cambridge, UK. .,Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK. .,South London and Maudsley NHS Foundation Trust, London, UK.
| | - Mark Sweeney
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK.,Imperial College London, London, UK
| | - Antonio de Marvao
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - Alaine Berry
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - Ben Statton
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - Benjamin I Perry
- Department of Psychiatry, University of Cambridge, Cambridge, UK.,Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Toby Pillinger
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK.,South London and Maudsley NHS Foundation Trust, London, UK.,Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Thomas Whitehurst
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - Stuart A Cook
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - Declan P O'Regan
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK
| | - E Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK
| | - Oliver D Howes
- MRC London Institute of Medical Sciences and Imperial College London Institute of Clinical Sciences, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK. .,South London and Maudsley NHS Foundation Trust, London, UK. .,Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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9
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de Marvao A, McGurk KA, Zheng SL, Thanaj M, Bai W, Duan J, Biffi C, Mazzarotto F, Statton B, Dawes TJW, Savioli N, Halliday BP, Xu X, Buchan RJ, Baksi AJ, Quinlan M, Tokarczuk P, Tayal U, Francis C, Whiffin N, Theotokis PI, Zhang X, Jang M, Berry A, Pantazis A, Barton PJR, Rueckert D, Prasad SK, Walsh R, Ho CY, Cook SA, Ware JS, O'Regan DP. Phenotypic Expression and Outcomes in Individuals With Rare Genetic Variants of Hypertrophic Cardiomyopathy. J Am Coll Cardiol 2021; 78:1097-1110. [PMID: 34503678 PMCID: PMC8434420 DOI: 10.1016/j.jacc.2021.07.017] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/01/2021] [Accepted: 07/06/2021] [Indexed: 01/06/2023]
Abstract
BACKGROUND Hypertrophic cardiomyopathy (HCM) is caused by rare variants in sarcomere-encoding genes, but little is known about the clinical significance of these variants in the general population. OBJECTIVES The goal of this study was to compare lifetime outcomes and cardiovascular phenotypes according to the presence of rare variants in sarcomere-encoding genes among middle-aged adults. METHODS This study analyzed whole exome sequencing and cardiac magnetic resonance imaging in UK Biobank participants stratified according to sarcomere-encoding variant status. RESULTS The prevalence of rare variants (allele frequency <0.00004) in HCM-associated sarcomere-encoding genes in 200,584 participants was 2.9% (n = 5,712; 1 in 35), and the prevalence of variants pathogenic or likely pathogenic for HCM (SARC-HCM-P/LP) was 0.25% (n = 493; 1 in 407). SARC-HCM-P/LP variants were associated with an increased risk of death or major adverse cardiac events compared with controls (hazard ratio: 1.69; 95% confidence interval [CI]: 1.38-2.07; P < 0.001), mainly due to heart failure endpoints (hazard ratio: 4.23; 95% CI: 3.07-5.83; P < 0.001). In 21,322 participants with both cardiac magnetic resonance imaging and whole exome sequencing, SARC-HCM-P/LP variants were associated with an asymmetric increase in left ventricular maximum wall thickness (10.9 ± 2.7 mm vs 9.4 ± 1.6 mm; P < 0.001), but hypertrophy (≥13 mm) was only present in 18.4% (n = 9 of 49; 95% CI: 9%-32%). SARC-HCM-P/LP variants were still associated with heart failure after adjustment for wall thickness (hazard ratio: 6.74; 95% CI: 2.43-18.7; P < 0.001). CONCLUSIONS In this population of middle-aged adults, SARC-HCM-P/LP variants have low aggregate penetrance for overt HCM but are associated with an increased risk of adverse cardiovascular outcomes and an attenuated cardiomyopathic phenotype. Although absolute event rates are low, identification of these variants may enhance risk stratification beyond familial disease.
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Affiliation(s)
- Antonio de Marvao
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Kathryn A McGurk
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Sean L Zheng
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Marjola Thanaj
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Wenjia Bai
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom; Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Jinming Duan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom; School of Computer Science, University of Birmingham, Birmingham, United Kingdom
| | - Carlo Biffi
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom
| | - Francesco Mazzarotto
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Cardiomyopathy Unit, Careggi University Hospital, Florence, Italy
| | - Ben Statton
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Timothy J W Dawes
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Nicolò Savioli
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Brian P Halliday
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Xiao Xu
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Rachel J Buchan
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - A John Baksi
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Marina Quinlan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Paweł Tokarczuk
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Upasana Tayal
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Catherine Francis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Nicola Whiffin
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom; Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Pantazis I Theotokis
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Xiaolei Zhang
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Mikyung Jang
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Alaine Berry
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Antonis Pantazis
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Paul J R Barton
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Daniel Rueckert
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom; Faculty of Informatics and Medicine, Klinikum Rechts der Isar, TU Munich, Munich, Germany
| | - Sanjay K Prasad
- National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom
| | - Roddy Walsh
- Department of Experimental Cardiology, Amsterdam UMC, AMC Heart Centre, Amsterdam, the Netherlands
| | - Carolyn Y Ho
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Stuart A Cook
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom; National Heart Centre Singapore, Singapore; Duke-NUS Graduate Medical School, Singapore
| | - James S Ware
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom; Cardiovascular Research Centre at Royal Brompton and Harefield Hospitals, London, United Kingdom.
| | - Declan P O'Regan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom.
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10
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Onwordi EC, Whitehurst T, Mansur A, Statton B, Berry A, Quinlan M, O'Regan DP, Rogdaki M, Marques TR, Rabiner EA, Gunn RN, Vernon AC, Natesan S, Howes OD. The relationship between synaptic density marker SV2A, glutamate and N-acetyl aspartate levels in healthy volunteers and schizophrenia: a multimodal PET and magnetic resonance spectroscopy brain imaging study. Transl Psychiatry 2021; 11:393. [PMID: 34282130 PMCID: PMC8290006 DOI: 10.1038/s41398-021-01515-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 06/22/2021] [Indexed: 02/07/2023] Open
Abstract
Glutamatergic excitotoxicity is hypothesised to underlie synaptic loss in schizophrenia pathogenesis, but it is unknown whether synaptic markers are related to glutamatergic function in vivo. Additionally, it has been proposed that N-acetyl aspartate (NAA) levels reflect neuronal integrity. Here, we investigated whether synaptic vesicle glycoprotein 2 A (SV2A) levels are related to glutamatergic markers and NAA in healthy volunteers (HV) and schizophrenia patients (SCZ). Forty volunteers (SCZ n = 18, HV n = 22) underwent [11C]UCB-J positron emission tomography and proton magnetic resonance spectroscopy (1H-MRS) imaging in the left hippocampus and anterior cingulate cortex (ACC) to index [11C]UCB-J distribution volume ratio (DVR), and creatine-scaled glutamate (Glu/Cr), glutamate and glutamine (Glx/Cr) and NAA (NAA/Cr). In healthy volunteers, but not patients, [11C]UCB-J DVR was significantly positively correlated with Glu/Cr, in both the hippocampus and ACC. Furthermore, in healthy volunteers, but not patients, [11C]UCB-J DVR was significantly positively correlated with Glx/Cr, in both the hippocampus and ACC. There were no significant relationships between [11C]UCB-J DVR and NAA/Cr in the hippocampus or ACC in healthy volunteers or patients. Therefore, an appreciable proportion of the brain 1H-MRS glutamatergic signal is related to synaptic density in healthy volunteers. This relationship is not seen in schizophrenia, which, taken with lower synaptic marker levels, is consistent with lower levels of glutamatergic terminals and/or a lower proportion of glutamatergic relative to GABAergic terminals in the ACC in schizophrenia.
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Affiliation(s)
- Ellis Chika Onwordi
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK.
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, W12 0NN, UK.
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK.
- South London and Maudsley NHS Foundation Trust, Camberwell, London, SE5 8AF, UK.
| | - Thomas Whitehurst
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Ayla Mansur
- Department of Brain Sciences, Imperial College London, The Commonwealth Building, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK
- Invicro, Burlington Danes Building, Du Cane Road, London, W12 0NN, UK
| | - Ben Statton
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
| | - Alaine Berry
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
| | - Marina Quinlan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
| | - Declan P O'Regan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
| | - Maria Rogdaki
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, W12 0NN, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
- South London and Maudsley NHS Foundation Trust, Camberwell, London, SE5 8AF, UK
| | - Tiago Reis Marques
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
- South London and Maudsley NHS Foundation Trust, Camberwell, London, SE5 8AF, UK
| | - Eugenii A Rabiner
- Invicro, Burlington Danes Building, Du Cane Road, London, W12 0NN, UK
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Roger N Gunn
- Department of Brain Sciences, Imperial College London, The Commonwealth Building, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK
- Invicro, Burlington Danes Building, Du Cane Road, London, W12 0NN, UK
| | - Anthony C Vernon
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, 5 Cutcombe Road, London, SE5 9RT, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, SE1 1UL, UK
| | - Sridhar Natesan
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Oliver D Howes
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK.
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, W12 0NN, UK.
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK.
- South London and Maudsley NHS Foundation Trust, Camberwell, London, SE5 8AF, UK.
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11
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Bloomfield MAP, Green SF, Hindocha C, Yamamori Y, Yim JLL, Jones APM, Walker HR, Tokarczuk P, Statton B, Howes OD, Curran HV, Freeman TP. The effects of acute cannabidiol on cerebral blood flow and its relationship to memory: An arterial spin labelling magnetic resonance imaging study. J Psychopharmacol 2020; 34:981-989. [PMID: 32762272 PMCID: PMC7436497 DOI: 10.1177/0269881120936419] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Cannabidiol (CBD) is being investigated as a potential treatment for several medical indications, many of which are characterised by altered memory processing. However, the mechanisms underlying these effects are unclear. AIMS Our primary aim was to investigate how CBD influences cerebral blood flow (CBF) in regions involved in memory processing. Our secondary aim was to determine if the effects of CBD on CBF were associated with differences in working and episodic memory task performance. METHODS We used a randomised, crossover, double-blind design in which 15 healthy participants were administered 600 mg oral CBD or placebo on separate days. We measured regional CBF at rest using arterial spin labelling 3 h after drug ingestion. We assessed working memory with the digit span (forward, backward) and n-back (0-back, 1-back, 2-back) tasks, and we used a prose recall task (immediate and delayed) to assess episodic memory. RESULTS CBD increased CBF in the hippocampus (mean (95% confidence intervals) = 15.00 (5.78-24.21) mL/100 g/min, t14 = 3.489, Cohen's d = 0.75, p = 0.004). There were no differences in memory task performance, but there was a significant correlation whereby greater CBD-induced increases in orbitofrontal CBF were associated with reduced reaction time on the 2-back working memory task ( r= -0.73, p = 0.005). CONCLUSIONS These findings suggest that CBD increases CBF to key regions involved in memory processing, particularly the hippocampus. These results identify potential mechanisms of CBD for a range of conditions associated with altered memory processing, including Alzheimer's disease, schizophrenia, post-traumatic stress disorder and cannabis-use disorders.
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Affiliation(s)
- Michael A P Bloomfield
- Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, Institute of Mental Health, University College London, London, UK,Clinical Psychopharmacology Unit, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK,Psychiatric Imaging Group, Medical Research Council London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital, London, UK,NIHR University College Hospitals London Biomedical Research Centre, University College London, London, UK,The Traumatic Stress Clinic, St Pancras Hospital, Camden and Islington NHS Foundation Trust, London, UK,National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK,Michael Bloomfield, Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, University College London, Maple House, Tottenham Court Road, London W1T 7NF, UK.
| | - Sebastian F Green
- Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, Institute of Mental Health, University College London, London, UK
| | - Chandni Hindocha
- Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, Institute of Mental Health, University College London, London, UK,Clinical Psychopharmacology Unit, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK,NIHR University College Hospitals London Biomedical Research Centre, University College London, London, UK
| | - Yumeya Yamamori
- Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, Institute of Mental Health, University College London, London, UK
| | - Jocelyn Lok Ling Yim
- Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, Institute of Mental Health, University College London, London, UK
| | - Augustus P M Jones
- Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, Institute of Mental Health, University College London, London, UK
| | - Hannah R Walker
- Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, Institute of Mental Health, University College London, London, UK
| | - Pawel Tokarczuk
- Medical Research Council London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital, London, UK
| | - Ben Statton
- Medical Research Council London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital, London, UK
| | - Oliver D Howes
- Psychiatric Imaging Group, Medical Research Council London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital, London, UK,Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - H Valerie Curran
- Clinical Psychopharmacology Unit, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK,NIHR University College Hospitals London Biomedical Research Centre, University College London, London, UK
| | - Tom P Freeman
- Translational Psychiatry Research Group, Research Department of Mental Health Neuroscience, Division of Psychiatry, Institute of Mental Health, University College London, London, UK,Department of Psychology, University of Bath, Bath, UK,Clinical Psychopharmacology Unit, Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
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Osimo EF, Brugger SP, de Marvao A, Pillinger T, Whitehurst T, Statton B, Quinlan M, Berry A, Cook SA, O'Regan DP, Howes OD. Cardiac structure and function in schizophrenia: cardiac magnetic resonance imaging study. Br J Psychiatry 2020; 217:450-457. [PMID: 31915079 PMCID: PMC7511899 DOI: 10.1192/bjp.2019.268] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Heart disease is the leading cause of death in schizophrenia. However, there has been little research directly examining cardiac function in schizophrenia. AIMS To investigate cardiac structure and function in individuals with schizophrenia using cardiac magnetic resonance imaging (CMR) after excluding medical and metabolic comorbidity. METHOD In total, 80 participants underwent CMR to determine biventricular volumes and function and measures of blood pressure, physical activity and glycated haemoglobin levels. Individuals with schizophrenia ('patients') and controls were matched for age, gender, ethnicity and body surface area. RESULTS Patients had significantly smaller indexed left ventricular (LV) end-diastolic volume (effect size d = -0.82, P = 0.001), LV end-systolic volume (d = -0.58, P = 0.02), LV stroke volume (d = -0.85, P = 0.001), right ventricular (RV) end-diastolic volume (d = -0.79, P = 0.002), RV end-systolic volume (d = -0.58, P = 0.02), and RV stroke volume (d = -0.87, P = 0.001) but unaltered ejection fractions relative to controls. LV concentricity (d = 0.73, P = 0.003) and septal thickness (d = 1.13, P < 0.001) were significantly larger in the patients. Mean concentricity in patients was above the reference range. The findings were largely unchanged after adjusting for smoking and/or exercise levels and were independent of medication dose and duration. CONCLUSIONS Individuals with schizophrenia show evidence of concentric cardiac remodelling compared with healthy controls of a similar age, gender, ethnicity, body surface area and blood pressure, and independent of smoking and activity levels. This could be contributing to the excess cardiovascular mortality observed in schizophrenia. Future studies should investigate the contribution of antipsychotic medication to these changes.
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Affiliation(s)
- Emanuele F. Osimo
- Academic Clinical Fellow in Psychiatry, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus; and Department of Psychiatry, University of Cambridge; and Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Stefan P. Brugger
- Academic Clinical Fellow in Psychiatry, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Antonio de Marvao
- Clinical Lecturer in Cardiology, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Toby Pillinger
- Academic Clinical Fellow in Psychiatry, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus; and Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Thomas Whitehurst
- Clinical Research Fellow, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Ben Statton
- Lead MR Radiographer, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Marina Quinlan
- MR Radiographer, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Alaine Berry
- MR Radiographer, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Stuart A. Cook
- Professor of Clinical and Molecular Cardiology, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Declan P. O'Regan
- Reader in Imaging Sciences (Consultant Radiologist), MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, UK
| | - Oliver D. Howes
- Professor of Molecular Psychiatry, MRC London Institute of Medical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus; and Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK,Correspondence: Professor Oliver Howes.
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Orini M, Graham AJ, Martinez-Naharro A, Andrews CM, de Marvao A, Statton B, Cook SA, O'Regan DP, Hawkins PN, Rudy Y, Fontana M, Lambiase PD. Noninvasive Mapping of the Electrophysiological Substrate in Cardiac Amyloidosis and Its Relationship to Structural Abnormalities. J Am Heart Assoc 2019; 8:e012097. [PMID: 31496332 PMCID: PMC6818012 DOI: 10.1161/jaha.119.012097] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background The relationship between structural pathology and electrophysiological substrate in cardiac amyloidosis is unclear. Differences between light‐chain (AL) and transthyretin (ATTR) cardiac amyloidosis may have prognostic implications. Methods and Results ECG imaging and cardiac magnetic resonance studies were conducted in 21 cardiac amyloidosis patients (11 AL and 10 ATTR). Healthy volunteers were included as controls. With respect to ATTR, AL patients had lower amyloid volume (51.0/37.7 versus 73.7/16.4 mL, P=0.04), lower myocardial cell volume (42.6/19.1 versus 58.5/17.2 mL, P=0.021), and higher T1 (1172/64 versus 1109/80 ms, P=0.022) and T2 (53.4/2.9 versus 50.0/3.1 ms, P=0.003). ECG imaging revealed differences between cardiac amyloidosis and control patients in virtually all conduction‐repolarization parameters. With respect to ATTR, AL patients had lower epicardial signal amplitude (1.07/0.46 versus 1.83/1.26 mV, P=0.026), greater epicardial signal fractionation (P=0.019), and slightly higher dispersion of repolarization (187.6/65 versus 158.3/40 ms, P=0.062). No significant difference between AL and ATTR patients was found using the standard 12‐lead ECG. T1 correlated with epicardial signal amplitude (cc=−0.78), and extracellular volume with epicardial signal fractionation (cc=0.48) and repolarization time (cc=0.43). Univariate models based on single features from both cardiac magnetic resonance and ECG imaging classified AL and ATTR patients with an accuracy of 70% to 80%. Conclusions In this exploratory study cardiac amyloidosis was associated with ventricular conduction and repolarization abnormalities, which were more pronounced in AL than in ATTR. Combined ECG imaging–cardiac magnetic resonance analysis supports the hypothesis that additional mechanisms beyond infiltration may contribute to myocardial damage in AL amyloidosis. Further studies are needed to assess the clinical impact of this approach.
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Affiliation(s)
- Michele Orini
- Barts Heart Centre Barts Health NHS Trust London United Kingdom.,Institute of Cardiovascular Science University College London London United Kingdom
| | - Adam J Graham
- Barts Heart Centre Barts Health NHS Trust London United Kingdom
| | | | - Christopher M Andrews
- Cardiac Bioelectricity and Arrhythmia Center Washington University in St Louis St. Louis MO
| | - Antonio de Marvao
- MRC London Institute of Medical Sciences Imperial College London London United Kingdom
| | - Ben Statton
- MRC London Institute of Medical Sciences Imperial College London London United Kingdom
| | - Stuart A Cook
- MRC London Institute of Medical Sciences Imperial College London London United Kingdom
| | - Declan P O'Regan
- MRC London Institute of Medical Sciences Imperial College London London United Kingdom
| | - Philip N Hawkins
- The Royal Free Hospital UCL Hospitals Trust London United Kingdom
| | - Yoram Rudy
- Cardiac Bioelectricity and Arrhythmia Center Washington University in St Louis St. Louis MO
| | - Marianna Fontana
- The Royal Free Hospital UCL Hospitals Trust London United Kingdom
| | - Pier D Lambiase
- Barts Heart Centre Barts Health NHS Trust London United Kingdom.,Institute of Cardiovascular Science University College London London United Kingdom
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Shirvani S, Tokarczuk P, Statton B, Quinlan M, Berry A, Tomlinson J, Weale P, Kühn B, O'Regan DP. Motion-corrected multiparametric renal arterial spin labelling at 3 T: reproducibility and effect of vasodilator challenge. Eur Radiol 2018; 29:232-240. [PMID: 29992384 PMCID: PMC6291439 DOI: 10.1007/s00330-018-5628-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 06/14/2018] [Accepted: 06/22/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVES We investigated the feasibility and reproducibility of free-breathing motion-corrected multiple inversion time (multi-TI) pulsed renal arterial spin labelling (PASL), with general kinetic model parametric mapping, to simultaneously quantify renal perfusion (RBF), bolus arrival time (BAT) and tissue T1. METHODS In a study approved by the Health Research Authority, 12 healthy volunteers (mean age, 27.6 ± 18.5 years; 5 male) gave informed consent for renal imaging at 3 T using multi-TI ASL and conventional single-TI ASL. Glyceryl trinitrate (GTN) was used as a vasodilator challenge in six subjects. Flow-sensitive alternating inversion recovery (FAIR) preparation was used with background suppression and 3D-GRASE (gradient and spin echo) read-out, and images were motion-corrected. Parametric maps of RBF, BAT and T1 were derived for both kidneys. Agreement was assessed using Pearson correlation and Bland-Altman plots. RESULTS Inter-study correlation of whole-kidney RBF was good for both single-TI (r2 = 0.90), and multi-TI ASL (r2 = 0.92). Single-TI ASL gave a higher estimate of whole-kidney RBF compared to multi-TI ASL (mean bias, 29.3 ml/min/100 g; p <0.001). Using multi-TI ASL, the median T1 of renal cortex was shorter than that of medulla (799.6 ms vs 807.1 ms, p = 0.01), and mean whole-kidney BAT was 269.7 ± 56.5 ms. GTN had an effect on systolic blood pressure (p < 0.05) but the change in RBF was not significant. CONCLUSIONS Free-breathing multi-TI renal ASL is feasible and reproducible at 3 T, providing simultaneous measurement of renal perfusion, haemodynamic parameters and tissue characteristics at baseline and during pharmacological challenge. KEY POINTS • Multiple inversion time arterial spin labelling (ASL) of the kidneys is feasible and reproducible at 3 T. • This approach allows simultaneous mapping of renal perfusion, bolus arrival time and tissue T 1 during free breathing. • This technique enables repeated measures of renal haemodynamic characteristics during pharmacological challenge.
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Affiliation(s)
- Saba Shirvani
- Medical Research Council (MRC), London Institute of Medical Sciences (LMS), Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK
- Department of Chemistry, Imperial College London, South Kensington Campus, Exhibition Road, London, UK
| | - Paweł Tokarczuk
- Medical Research Council (MRC), London Institute of Medical Sciences (LMS), Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK
| | - Ben Statton
- Medical Research Council (MRC), London Institute of Medical Sciences (LMS), Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK
| | - Marina Quinlan
- Medical Research Council (MRC), London Institute of Medical Sciences (LMS), Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK
| | - Alaine Berry
- Medical Research Council (MRC), London Institute of Medical Sciences (LMS), Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK
| | - James Tomlinson
- Medical Research Council (MRC), London Institute of Medical Sciences (LMS), Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK
| | | | - Bernd Kühn
- Siemens Healthcare GmbH, Erlangen, Germany
| | - Declan P O'Regan
- Medical Research Council (MRC), London Institute of Medical Sciences (LMS), Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK.
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