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Krishnamurthy U, Neelavalli J, Mody S, Yeo L, Jella PK, Saleem S, Korzeniewski SJ, Cabrera MD, Ehterami S, Bahado-Singh RO, Katkuri Y, Haacke EM, Hernandez-Andrade E, Hassan SS, Romero R. MR imaging of the fetal brain at 1.5T and 3.0T field strengths: comparing specific absorption rate (SAR) and image quality. J Perinat Med 2015; 43:209-20. [PMID: 25324440 PMCID: PMC5987203 DOI: 10.1515/jpm-2014-0268] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Accepted: 09/09/2014] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Our two objectives were to evaluate the feasibility of fetal brain magnetic resonance imaging (MRI) using a fast spin echo sequence at 3.0T field strength with low radio frequency (rf) energy deposition (as measured by specific absorption rate: SAR) and to compare image quality, tissue contrast and conspicuity between 1.5T and 3.0T MRI. METHODS T2 weighted images of the fetal brain at 1.5T were compared to similar data obtained in the same fetus using a modified sequence at 3.0T. Quantitative whole-body SAR and normalized image signal to noise ratio (SNR), a nominal scoring scheme based evaluation of diagnostic image quality, and tissue contrast and conspicuity for specific anatomical structures in the brain were compared between 1.5T and 3.0T. RESULTS Twelve pregnant women underwent both 1.5T and 3.0T MRI examinations. The image SNR was significantly higher (P=0.03) and whole-body SAR was significantly lower (P<0.0001) for images obtained at 3.0T compared to 1.5T. All cases at both field strengths were scored as having diagnostic image quality. Images from 3.0T MRI (compared to 1.5T) were equal (57%; 21/37) or superior (35%; 13/37) for tissue contrast and equal (61%; 20/33) or superior (33%, 11/33) for conspicuity. CONCLUSIONS It is possible to obtain fetal brain images with higher resolution and better SNR at 3.0T with simultaneous reduction in SAR compared to 1.5T. Images of the fetal brain obtained at 3.0T demonstrated superior tissue contrast and conspicuity compared to 1.5T.
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Affiliation(s)
- Uday Krishnamurthy
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Biomedical Engineering, College of Engineering, Wayne State University, Detroit, MI, USA
| | - Jaladhar Neelavalli
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Biomedical Engineering, College of Engineering, Wayne State University, Detroit, MI, USA
| | - Swati Mody
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Lami Yeo
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Pavan K. Jella
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Sheena Saleem
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Steven J. Korzeniewski
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan; USA
| | - Maria D. Cabrera
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Shadi Ehterami
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Ray O. Bahado-Singh
- Department of Obstetrics and Gynecology, William Beaumont School of Medicine, Oakland University, Rochester, MI, USA
| | - Yashwanth Katkuri
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Ewart M. Haacke
- Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Biomedical Engineering, College of Engineering, Wayne State University, Detroit, MI, USA
| | - Edgar Hernandez-Andrade
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Sonia S. Hassan
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Roberto Romero
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, MI, USA
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan; USA
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA
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Roberts RM, Mathias JL, Rose SE. Diffusion Tensor Imaging (DTI) findings following pediatric non-penetrating TBI: a meta-analysis. Dev Neuropsychol 2015; 39:600-37. [PMID: 25470224 PMCID: PMC4270261 DOI: 10.1080/87565641.2014.973958] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
This study meta-analyzed research examining Diffusion Tensor Imaging following pediatric non-penetrating traumatic brain injury to identify the location and extent of white matter changes. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) data from 20 studies were analyzed. FA increased and ADC decreased in most white matter tracts in the short-term (moderate-to-large effects), and FA decreased and ADC increased in the medium- to long-term (moderate-to-very-large effects). Whole brain (short-term), cerebellum and corpus callosum (medium- to long-term) FA values have diagnostic potential, but the impact of age/developmental stage and injury severity on FA/ADC, and the predictive value, is unclear.
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Affiliation(s)
- R M Roberts
- a School of Psychology , University of Adelaide , Adelaide , Australia
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Martini S, Williams S, Moretti P, Woo D, Worrall B. A molecular/genetic approach to cerebral small-vessel disease: Beyond aging and hypertension. Brain Circ 2015. [DOI: 10.4103/2394-8108.166376] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Wardlaw J, Brazzelli M, Miranda H, Chappell F, McNamee P, Scotland G, Quayyum Z, Martin D, Shuler K, Sandercock P, Dennis M. An assessment of the cost-effectiveness of magnetic resonance, including diffusion-weighted imaging, in patients with transient ischaemic attack and minor stroke: a systematic review, meta-analysis and economic evaluation. Health Technol Assess 2014; 18:1-368, v-vi. [PMID: 24791949 DOI: 10.3310/hta18270] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Patients with transient ischaemic attack (TIA) or minor stroke need rapid treatment of risk factors to prevent recurrent stroke. ABCD2 score or magnetic resonance diffusion-weighted brain imaging (MR DWI) may help assessment and treatment. OBJECTIVES Is MR with DWI cost-effective in stroke prevention compared with computed tomography (CT) brain scanning in all patients, in specific subgroups or as 'one-stop' brain-carotid imaging? What is the current UK availability of services for stroke prevention? DATA SOURCES Published literature; stroke registries, audit and randomised clinical trials; national databases; survey of UK clinical and imaging services for stroke; expert opinion. REVIEW METHODS Systematic reviews and meta-analyses of published/unpublished data. Decision-analytic model of stroke prevention including on a 20-year time horizon including nine representative imaging scenarios. RESULTS The pooled recurrent stroke rate after TIA (53 studies, 30,558 patients) is 5.2% [95% confidence interval (CI) 3.9% to 5.9%] by 7 days, and 6.7% (5.2% to 8.7%) at 90 days. ABCD2 score does not identify patients with key stroke causes or identify mimics: 66% of specialist-diagnosed true TIAs and 35-41% of mimics had an ABCD2 score of ≥ 4; 20% of true TIAs with ABCD2 score of < 4 had key risk factors. MR DWI (45 studies, 9078 patients) showed an acute ischaemic lesion in 34.3% (95% CI 30.5% to 38.4%) of TIA, 69% of minor stroke patients, i.e. two-thirds of TIA patients are DWI negative. TIA mimics (16 studies, 14,542 patients) make up 40-45% of patients attending clinics. UK survey (45% response) showed most secondary prevention started prior to clinic, 85% of primary brain imaging was same-day CT; 51-54% of patients had MR, mostly additional to CT, on average 1 week later; 55% omitted blood-sensitive MR sequences. Compared with 'CT scan all patients' MR was more expensive and no more cost-effective, except for patients presenting at > 1 week after symptoms to diagnose haemorrhage; strategies that triaged patients with low ABCD2 scores for slow investigation or treated DWI-negative patients as non-TIA/minor stroke prevented fewer strokes and increased costs. 'One-stop' CT/MR angiographic-plus-brain imaging was not cost-effective. LIMITATIONS Data on sensitivity/specificity of MR in TIA/minor stroke, stroke costs, prognosis of TIA mimics and accuracy of ABCD2 score by non-specialists are sparse or absent; all analysis had substantial heterogeneity. CONCLUSIONS Magnetic resonance with DWI is not cost-effective for secondary stroke prevention. MR was most helpful in patients presenting at > 1 week after symptoms if blood-sensitive sequences were used. ABCD2 score is unlikely to facilitate patient triage by non-stroke specialists. Rapid specialist assessment, CT brain scanning and identification of serious underlying stroke causes is the most cost-effective stroke prevention strategy. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Joanna Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Miriam Brazzelli
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Hector Miranda
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Francesca Chappell
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Paul McNamee
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Graham Scotland
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Zahid Quayyum
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Duncan Martin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Kirsten Shuler
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Peter Sandercock
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Martin Dennis
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Chakravarty A, Debnath J. Life cycle costing as a decision making tool for technology acquisition in radio-diagnosis. Med J Armed Forces India 2014; 71:38-42. [PMID: 25609862 DOI: 10.1016/j.mjafi.2014.10.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Accepted: 10/22/2014] [Indexed: 10/24/2022] Open
Abstract
BACKGROUND Life cycle costing analysis is an emerging conceptual tool to validate capital investment in healthcare. METHODS A preliminary study was done to analyze the long-term cost impact of acquiring a new 3 T MRI system when compared to technological upgradation of the existing 1.5 T MRI system with a view to evolve a decision matrix for correct investment planning and technology management. Operating costing method was utilized to estimate cost per unit MRI scan, costing inputs were considered for the existing 1.5 T and the proposed 3 T machine. Cost for each expected year in the life span of both 1.5 T and 3 T MRI scan options were then discounted to its Net Present Value. Net Present Value thus calculated for both the alternative options of 1.5 T and 3 T MRI machine was charted along with various intangible but critical Figures of Merit (FOM) to create a decision matrix for capital investment planning. RESULT Considering all fixed and variable costs contributing towards assumed operation, unit cost per MRI procedure was found to be Rs. 4244.58 for the 1.5 T upgrade and Rs. 6059.37 for the new 3 T MRI machine. Life Cycle Cost Analysis of the proposed 1.5 T upgrade and new 3 T machine showed a Net Present Value of Rs. 42,148,587.80 and Rs. 27,587,842.38 respectively. CONCLUSION The utility of life cycle costing as a strategic decision making tool towards evaluating alternative options for capital investment planning in health care environment is reiterated.
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Affiliation(s)
| | - Jyotindu Debnath
- Professor, Dept of Radiology, Armed Forces Medical College, Pune 411040, India
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Skouras S, Gray M, Critchley H, Koelsch S. Superficial amygdala and hippocampal activity during affective music listening observed at 3 T but not 1.5 T fMRI. Neuroimage 2014; 101:364-9. [DOI: 10.1016/j.neuroimage.2014.07.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2013] [Revised: 02/24/2014] [Accepted: 07/05/2014] [Indexed: 10/25/2022] Open
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Meijer FJA, van Rumund A, Fasen BACM, Titulaer I, Aerts M, Esselink R, Bloem BR, Verbeek MM, Goraj B. Susceptibility-weighted imaging improves the diagnostic accuracy of 3T brain MRI in the work-up of parkinsonism. AJNR Am J Neuroradiol 2014; 36:454-60. [PMID: 25339647 DOI: 10.3174/ajnr.a4140] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE The differentiation between Parkinson disease and atypical parkinsonian syndromes can be challenging in clinical practice, especially in early disease stages. Brain MR imaging can help to increase certainty about the diagnosis. Our goal was to evaluate the added value of SWI in relation to conventional 3T brain MR imaging for the diagnostic work-up of early-stage parkinsonism. MATERIALS AND METHODS This was a prospective observational cohort study of 65 patients presenting with parkinsonism but with an uncertain initial clinical diagnosis. At baseline, 3T brain MR imaging with conventional and SWI sequences was performed. After clinical follow-up, probable diagnoses could be made in 56 patients, 38 patients diagnosed with Parkinson disease and 18 patients diagnosed with atypical parkinsonian syndromes, including 12 patients diagnosed with multiple system atrophy-parkinsonian form. In addition, 13 healthy controls were evaluated with SWI. Abnormal findings on conventional brain MR imaging were grouped into disease-specific scores. SWI was analyzed by a region-of-interest method of different brain structures. One-way ANOVA was performed to analyze group differences. Receiver operating characteristic analyses were performed to evaluate the diagnostic accuracy of conventional brain MR imaging separately and combined with SWI. RESULTS Disease-specific scores of conventional brain MR imaging had a high specificity for atypical parkinsonian syndromes (80%-90%), but sensitivity was limited (50%-80%). The mean SWI signal intensity of the putamen was significantly lower for multiple system atrophy-parkinsonian form than for Parkinson disease and controls (P < .001). The presence of severe dorsal putaminal hypointensity improved the accuracy of brain MR imaging: The area under the curve was increased from 0.75 to 0.83 for identifying multiple system atrophy-parkinsonian form, and it was increased from 0.76 to 0.82 for identifying atypical parkinsonian syndromes as a group. CONCLUSIONS SWI improves the diagnostic accuracy of 3T brain MR imaging in the work-up of parkinsonism by identifying severe putaminal hypointensity as a sign indicative of multiple system atrophy-parkinsonian form.
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Affiliation(s)
- F J A Meijer
- From the Departments of Radiology and Nuclear Medicine (F.J.A.M., B.A.C.M.F., B.G.)
| | - A van Rumund
- Department of Neurology (A.v.R., I.T., M.A., R.E., B.R.B., M.M.V.), Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - B A C M Fasen
- From the Departments of Radiology and Nuclear Medicine (F.J.A.M., B.A.C.M.F., B.G.)
| | - I Titulaer
- Department of Neurology (A.v.R., I.T., M.A., R.E., B.R.B., M.M.V.), Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - M Aerts
- Department of Neurology (A.v.R., I.T., M.A., R.E., B.R.B., M.M.V.), Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - R Esselink
- Department of Neurology (A.v.R., I.T., M.A., R.E., B.R.B., M.M.V.), Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - B R Bloem
- Department of Neurology (A.v.R., I.T., M.A., R.E., B.R.B., M.M.V.), Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - M M Verbeek
- Laboratory Medicine (M.M.V.) Department of Neurology (A.v.R., I.T., M.A., R.E., B.R.B., M.M.V.), Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - B Goraj
- From the Departments of Radiology and Nuclear Medicine (F.J.A.M., B.A.C.M.F., B.G.) Department of Diagnostic Imaging (B.G.), Medical Center of Postgraduate Education, Warsaw, Poland
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Guarnaschelli JN, Vagal AS, McKenzie JT, McPherson CM, Warnick RE, Batra V, Breneman JC, Lamba MA. Target definition for malignant gliomas: No difference in radiation treatment volumes between 1.5T and 3T magnetic resonance imaging. Pract Radiat Oncol 2014; 4:e195-e201. [DOI: 10.1016/j.prro.2013.11.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Revised: 10/08/2013] [Accepted: 11/06/2013] [Indexed: 11/15/2022]
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van Overbeek EC, Staals J, van Oostenbrugge RJ. Vitamin B12 and progression of white matter lesions. A 2-year follow-up study in first-ever lacunar stroke patients. PLoS One 2013; 8:e78100. [PMID: 24155983 PMCID: PMC3796459 DOI: 10.1371/journal.pone.0078100] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2013] [Accepted: 09/06/2013] [Indexed: 11/28/2022] Open
Abstract
In cross-sectional studies periventricular white matter lesions (WML) were related to low plasma levels of vitamin B12. Whether low vitamin B12 levels are also related to progression of WML is still unknown. We studied baseline vitamin B12 levels and its association with progression of WML over 2 years of follow-up in first-ever lacunar stroke patients. In 107 first-ever lacunar stroke patients in whom baseline brain MRI and vitamin B12 status were available, we obtained a follow-up brain MRI after 2 years. We assessed progression of periventricular WML (pWML) and deep WML (dWML) using a visual WML change scale. We studied the relationship between baseline levels of plasma vitamin B12 and progression of WML after 2 years of follow-up by binary logistic regression analyses. Vitamin B12 deficiency was more frequent in patients with progression of pWML compared to those without progression (41.9% and 19.7% respectively, p = 0.02). Corrected for sex and age, progression of pWML was associated with lower baseline levels of vitamin B12 (OR 1.42 per 50 unit decrease, 95% CI 1.00-1.92). Vitamin B12 levels were not associated with progression of dWML. In conclusion progression of pWML after 2 years of follow-up relates to low levels of vitamin B12 at baseline in first-ever lacunar stroke patients. Whether this population could benefit from vitamin B12 supplementation is unknown and requires further investigation.
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Affiliation(s)
- Ellen C. van Overbeek
- Department of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
- * E-mail:
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Robert J. van Oostenbrugge
- Department of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
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Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, Lindley RI, O'Brien JT, Barkhof F, Benavente OR, Black SE, Brayne C, Breteler M, Chabriat H, DeCarli C, de Leeuw FE, Doubal F, Duering M, Fox NC, Greenberg S, Hachinski V, Kilimann I, Mok V, Oostenbrugge RV, Pantoni L, Speck O, Stephan BCM, Teipel S, Viswanathan A, Werring D, Chen C, Smith C, van Buchem M, Norrving B, Gorelick PB, Dichgans M. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol 2013; 12:822-38. [PMID: 23867200 PMCID: PMC3714437 DOI: 10.1016/s1474-4422(13)70124-8] [Citation(s) in RCA: 3499] [Impact Index Per Article: 318.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Cerebral small vessel disease (SVD) is a common accompaniment of ageing. Features seen on neuroimaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. SVD can present as a stroke or cognitive decline, or can have few or no symptoms. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive deficits, physical disabilities, and other symptoms of neurodegeneration. Terminology and definitions for imaging the features of SVD vary widely, which is also true for protocols for image acquisition and image analysis. This lack of consistency hampers progress in identifying the contribution of SVD to the pathophysiology and clinical features of common neurodegenerative diseases. We are an international working group from the Centres of Excellence in Neurodegeneration. We completed a structured process to develop definitions and imaging standards for markers and consequences of SVD. We aimed to achieve the following: first, to provide a common advisory about terms and definitions for features visible on MRI; second, to suggest minimum standards for image acquisition and analysis; third, to agree on standards for scientific reporting of changes related to SVD on neuroimaging; and fourth, to review emerging imaging methods for detection and quantification of preclinical manifestations of SVD. Our findings and recommendations apply to research studies, and can be used in the clinical setting to standardise image interpretation, acquisition, and reporting. This Position Paper summarises the main outcomes of this international effort to provide the STandards for ReportIng Vascular changes on nEuroimaging (STRIVE).
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Affiliation(s)
- Joanna M Wardlaw
- Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Correspondence to: Prof Joanna M Wardlaw, Division of Neuroimaging Sciences, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Eric E Smith
- Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary and Seaman Family MR Research Centre, Calgary, AL, Canada
| | - Geert J Biessels
- Department of Neurology, Rudolf Magnus Institute of Neuroscience, UMC Utrecht, Utrecht, Netherlands
| | | | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Richard Frayne
- Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary and Seaman Family MR Research Centre, Calgary, AL, Canada
| | - Richard I Lindley
- University of Sydney and George Institute for Global Health, Westmead Hospital, University of Sydney, Sydney, NSW, Australia
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, Netherlands
| | - Oscar R Benavente
- Department of Medicine, Division of Neurology, Brain Research Centre, University of British Columbia, Vancouver, BC, Canada
| | | | - Carol Brayne
- Cambridge Institute of Public Health, School of Clinical Medicine, Cambridge, UK
| | | | - Hugues Chabriat
- Service de Neurologie, Hopital Lariboisiere, INSERM, Université Denis Diderot, Paris, France
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Sacramento, CA, USA
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Nijmegen Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Fergus Doubal
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany
| | - Nick C Fox
- Department of Neurodegeneration, Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Steven Greenberg
- Massachusetts General Hospital, Stroke Research Center, Boston, MA, USA
| | - Vladimir Hachinski
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE) Rostock and Greifswald, Rostock, Germany
| | - Vincent Mok
- Division of Neurology, Department of Medicine and Therapeutics, Prince of Wales Hospital, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Robert van Oostenbrugge
- Department of Neurology, School of Mental Health and Neuroscience, and Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Leonardo Pantoni
- Azienda Universitario Ospedaliera Careggi, Department of Neuroscience, Pharmacology and Child's Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Oliver Speck
- Department of Biomedical Magnetic Resonance, Faculty for Natural Sciences, Institute for Experimental Physics, Otto-von-Guericke UniversityMagdeburg, Magdeburg, Germany
| | | | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE) Rostock and Greifswald, Rostock, Germany
| | - Anand Viswanathan
- Massachusetts General Hospital, Stroke Research Center, Boston, MA, USA
| | - David Werring
- Stroke Research Group, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK
| | - Christopher Chen
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Colin Smith
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Mark van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Bo Norrving
- Department of Clinical Sciences, Section of Neurology, Skåne University Hospital, Lund, Sweden
| | - Philip B Gorelick
- Saint Mary's Health Care, Hauenstein Neuroscience Center, Grand Rapids, MI, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Prof M Dichgans, Institute for Stroke and Dementia Research, Klinikum der Universität, Munich, Germany
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Loos CM, van Oostenbrugge RJ, Staals J. The Appearance of a New White Matter Lesion Adjacent to the Old Infarct in First-Ever Lacunar Stroke Patients: A Two-Year Follow-Up Study with MRI. Cerebrovasc Dis 2012. [DOI: 10.1159/000344003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Assessment of reduced field of view in diffusion tensor imaging of the lumbar nerve roots at 3 T. Eur Radiol 2012. [DOI: 10.1007/s00330-012-2710-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Wattjes MP, Barkhof F. Diagnostic relevance of high field MRI in clinical neuroradiology: the advantages and challenges of driving a sports car. Eur Radiol 2012; 22:2304-6. [PMID: 22821393 PMCID: PMC3472049 DOI: 10.1007/s00330-012-2552-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2012] [Revised: 06/06/2012] [Accepted: 06/11/2012] [Indexed: 11/04/2022]
Abstract
Abstract High field MRI operating at 3 T is increasingly being used in the field of neuroradiology on the grounds that higher magnetic field strength should theoretically lead to a higher diagnostic accuracy in the diagnosis of several disease entities. This Editorial discusses the exhaustive review by Wardlaw and colleagues of research comparing 3 T MRI with 1.5 T MRI in the field of neuroradiology. Interestingly, the authors found no convincing evidence of improved image quality, diagnostic accuracy, or reduced total examination times using 3 T MRI instead of 1.5 T MRI. These findings are highly relevant since a new generation of high field MRI systems operating at 7 T has recently been introduced. Key Points • Higher magnetic field strengths do not necessarily lead to a better diagnostic accuracy. • Disadvantages of high field MR systems have to be considered in clinical practice. • Higher field strengths are needed for functional imaging, spectroscopy, etc. • Disappointingly there are few direct comparisons of 1.5 and 3 T MRI. • Whether the next high field MR generation (7 T) will improve diagnostic accuracy has to be investigated.
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Affiliation(s)
- Mike P Wattjes
- Department of Radiology, VU University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
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