A multicenter measurement of magnetization transfer ratio in normal white matter

Berry, Isabelle; Barker, Gareth J.; Barkhof, Frederik; Campi, A.; Dousset, V.; Franconi, Jean‐Michel; Gass, Achim; Schreiber, Wolfgang; Miller, David H.; Tofts, Paul S.

doi:10.1002/(sici)1522-2586(199903)9:3<441::aid-jmri12>3.0.co;2-r

Cited by 103 publications

(113 citation statements)

References 28 publications

(29 reference statements)

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“…MT-derived metrics appear sensitive to change over 1 year and provide reasonable sample sizes for clinical trial monitoring (37). However, care will be needed in order to standardize and keep stable measurements over time in multicenter studies (25). Spinal cord atrophy was seen as a tool for which there is now considerable experience and longitudinal data showing that the measurable changes occur with successful results in multicenter natural history studies (38).…”

Section: Trial Monitoringsupporting

confidence: 90%

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Role of magnetic resonance imaging in the diagnosis and monitoring of multiple sclerosis: Consensus report of the White Matter Study Group

Filippi

Dousset

McFarland

et al. 2002

Magnetic Resonance Imaging

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On June 24–26, 2001, the first meeting of the White Matter Study Group (WMSG) of the International Society for Magnetic Resonance in Medicine (ISMRM) was held in Bordeaux, France. This paper is the report of the consensus reached among the delegates of the meeting on how to use magnetic resonance imaging (MRI) to make an early diagnosis of multiple sclerosis (MS), to measure MS activity accurately and reliably, and to monitor the effect of treatment on disease evolution. J. Magn. Reson. Imaging 2002;15:499–504. Published 2002 Wiley‐Liss, Inc.

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Section: Trial Monitoringsupporting

confidence: 90%

“…MT is sensitive to the MR occult lesion and has a dynamic range, potentially enabling pathological correlation. Multicenter use of MT has been hampered by reproducibility and technical problems (25). The specificity of MT needs further clarifications (26).…”

Section: Mt-mrimentioning

confidence: 99%

Role of magnetic resonance imaging in the diagnosis and monitoring of multiple sclerosis: Consensus report of the White Matter Study Group

Filippi

Dousset

McFarland

et al. 2002

Magnetic Resonance Imaging

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“…Sled and Pike proposed a two-pool MT model for pulsed imaging to simplify Equations [1][2][3][4][5][6][7] (9,10). Here, we extend their model for multispoke pulsed imaging (i.e., one MT pulse preparation followed by multiple acquisitions) to reduce the data acquisition time (Fig.…”

Section: Two-pool Model Parameter Estimationmentioning

confidence: 99%

Quantitative magnetization transfer ultrashort echo time imaging using a time‐efficient 3D multispoke Cones sequence

Chang

Carl³

et al. 2017

Magnetic Resonance in Med

146

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Purpose: To accelerate the quantitative ultrashort echo time imaging using a time-efficient 3D multispoke Cones sequence with magnetization transfer (3D UTE-Cones-MT) and signal modeling. Theory and Methods: A 3D UTE-Cones-MT acquisition scheme with multispoke per MT preparation and a modified rectangular pulse (RP) approximation was developed for twopool MT modeling of macromolecular and water components including their relative fractions, relaxation times and exchange rates. Numerical simulation and cadaveric specimens, including human Achilles tendon and bovine cortical bone, were investigated using a clinical 3T scanner. Results: Numerical simulation showed that the modified RP model provided accurate estimation of MT parameters when multispokes were acquired per MT preparation. For the experiment with the Achilles tendon and cortical bone samples, the macromolecular fractions were 20.4 6 2.0% and 59.4 6 5.3%, respectively. Conclusion: The 3D multispoke UTE-Cones-MT sequence can be used for fast volumetric assessment of macromolecular and water components in short T 2 tissues.

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“…The largest source of variation in measuring MTR values are sequence and pulse differences [62], and B 1 factors [12]. MTR values in normal white matter are in the range 30-60 pu (percent units), depending crucially on the sequence used [8,12,62,63].…”

Section: Magnetisation Transfer Ratiomentioning

confidence: 99%

“…MTR values in normal white matter are in the range 30-60 pu (percent units), depending crucially on the sequence used [8,12,62,63]. A common sequence must be chosen before any multicentre comparisons can be made.…”

Section: Magnetisation Transfer Ratiomentioning

confidence: 99%

Multicentre imaging measurements for oncology and in the brain

Tofts

Collins²

2011

BJR

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ABSTRACT. Multicentre imaging studies of brain tumours (and other tumour and brain studies) can enable a large group of patients to be studied, yet they present challenging technical problems. Differences between centres can be characterised, understood and minimised by use of phantoms (test objects) and normal control subjects. Normal white matter forms an excellent standard for some MRI parameters (e.g. diffusion or magnetisation transfer) because the normal biological range is low (,2-3%) and the measurements will reflect this, provided the acquisition sequence is controlled. MR phantoms have benefits and they are necessary for some parameters (e.g. tumour volume). Techniques for temperature monitoring and control are given. In a multicentre study or treatment trial, between-centre variation should be minimised. In a cross-sectional study, all groups should be represented at each centre and the effect of centre added as a covariate in the statistical analysis. In a serial study of disease progression or treatment effect, individual patients should receive all of their scans at the same centre; the power is then limited by the within-subject reproducibility. Sources of variation that are generic to any imaging method and analysis parameters include MR sequence mismatch, B 1 errors, CT effective tube potential, region of interest generation and segmentation procedure. Specific tissue parameters are analysed in detail to identify the major sources of variation and the most appropriate phantoms or normal studies. These include dynamic contrast-enhanced and dynamic susceptibility contrast gadolinium imaging, T 1 , diffusion, magnetisation transfer, spectroscopy, tumour volume, arterial spin labelling and CT perfusion. There have been many approaches to carrying out multicentre imaging studies. A common difficulty is a measurement made at one centre is often not reproducible at another centre and to pool measurements from several centres into a large trial reduces its statistical power. Yet there is a strong imperative to be able to carry out meaningful multicentre studies so clinical drug trials with a large number of subjects can take place in a reasonable time. Analysing the sources of intercentre variation, with insight into the MR physics aspects of the imaging process, and then reducing them where possible has allowed progress to be made. Measuring actual quantities, such as volume, relaxation time or transfer constant, has meant in principle we are able to obtain values independent of the scanner used and the particular way the measurement was carried out.Multicentre imaging studies are desirable for several reasons. 1. In clinical treatment trials, they are usually the only way of achieving the large number of patients needed to statistically power the study. 2. Measurement of good intercentre agreement demonstrates the imaging technique is good and the results of clinical or scientific research can be applied to other centres. 3. Good intercentre agreement also demonstrates that the physical factors involv...

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A multicenter measurement of magnetization transfer ratio in normal white matter

Cited by 103 publications

References 28 publications

Role of magnetic resonance imaging in the diagnosis and monitoring of multiple sclerosis: Consensus report of the White Matter Study Group

Role of magnetic resonance imaging in the diagnosis and monitoring of multiple sclerosis: Consensus report of the White Matter Study Group

Quantitative magnetization transfer ultrashort echo time imaging using a time‐efficient 3D multispoke Cones sequence

Multicentre imaging measurements for oncology and in the brain

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