Literature DB >> 22433831

Multicentre imaging measurements for oncology and in the brain.

P S Tofts1, D J Collins.   

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.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22433831      PMCID: PMC3473901          DOI: 10.1259/bjr/74316620

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  93 in total

1.  Automatic quantitation of localized in vivo 1H spectra with LCModel.

Authors:  S W Provencher
Journal:  NMR Biomed       Date:  2001-06       Impact factor: 4.044

2.  Uncertainty in the analysis of tracer kinetics using dynamic contrast-enhanced T1-weighted MRI.

Authors:  David L Buckley
Journal:  Magn Reson Med       Date:  2002-03       Impact factor: 4.668

3.  Mean diffusivity and fractional anisotropy histograms of patients with multiple sclerosis.

Authors:  M Cercignani; M Inglese; E Pagani; G Comi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2001-05       Impact factor: 3.825

4.  Java-based graphical user interface for MRUI, a software package for quantitation of in vivo/medical magnetic resonance spectroscopy signals.

Authors:  A Naressi; C Couturier; I Castang; R de Beer; D Graveron-Demilly
Journal:  Comput Biol Med       Date:  2001-07       Impact factor: 4.589

5.  Relaxation times of choline, creatine and N-acetyl aspartate in human cerebral white matter at 1.5 T.

Authors:  D R Rutgers; J van der Grond
Journal:  NMR Biomed       Date:  2002-05       Impact factor: 4.044

6.  In vivo mapping of the fast and slow diffusion tensors in human brain.

Authors:  Chris A Clark; Maj Hedehus; Michael E Moseley
Journal:  Magn Reson Med       Date:  2002-04       Impact factor: 4.668

Review 7.  Dynamic contrast-enhanced imaging techniques: CT and MRI.

Authors:  J P B O'Connor; P S Tofts; K A Miles; L M Parkes; G Thompson; A Jackson
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

8.  Reproducibility of dynamic contrast-enhanced MRI in human muscle and tumours: comparison of quantitative and semi-quantitative analysis.

Authors:  Susan M Galbraith; Martin A Lodge; N Jane Taylor; Gordon J S Rustin; Søren Bentzen; J James Stirling; Anwar R Padhani
Journal:  NMR Biomed       Date:  2002-04       Impact factor: 4.044

9.  Reproducibility of quantitative dynamic MRI of normal human tissues.

Authors:  Anwar R Padhani; Carmel Hayes; Sabine Landau; Martin O Leach
Journal:  NMR Biomed       Date:  2002-04       Impact factor: 4.044

10.  Volumes and growth rates of untreated adult low-grade gliomas indicate risk of early malignant transformation.

Authors:  Jeremy Rees; Hilary Watt; H Rolf Jäger; Chris Benton; Daniel Tozer; Paul Tofts; Adam Waldman
Journal:  Eur J Radiol       Date:  2008-07-15       Impact factor: 3.528

View more
  16 in total

Review 1.  State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications.

Authors:  Magalie Viallon; Victor Cuvinciuc; Benedicte Delattre; Laura Merlini; Isabelle Barnaure-Nachbar; Seema Toso-Patel; Minerva Becker; Karl-Olof Lovblad; Sven Haller
Journal:  Neuroradiology       Date:  2015-04-10       Impact factor: 2.804

Review 2.  Functional MRI and CT biomarkers in oncology.

Authors:  J M Winfield; G S Payne; N M deSouza
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-13       Impact factor: 9.236

3.  Development of a diffusion-weighted MRI protocol for multicentre abdominal imaging and evaluation of the effects of fasting on measurement of apparent diffusion coefficients (ADCs) in healthy liver.

Authors:  J M Winfield; M-V Papoutsaki; H Ragheb; D M Morris; A Heerschap; E G W ter Voert; J P A Kuijer; I C Pieters; N H M Douglas; M Orton; N M de Souza
Journal:  Br J Radiol       Date:  2015-03-19       Impact factor: 3.039

Review 4.  Vessel caliber--a potential MRI biomarker of tumour response in clinical trials.

Authors:  Kyrre E Emblem; Christian T Farrar; Elizabeth R Gerstner; Tracy T Batchelor; Ronald J H Borra; Bruce R Rosen; A Gregory Sorensen; Rakesh K Jain
Journal:  Nat Rev Clin Oncol       Date:  2014-08-12       Impact factor: 66.675

5.  Semi-Automated Volumetric and Morphological Assessment of Glioblastoma Resection with Fluorescence-Guided Surgery.

Authors:  J Scott Cordova; Saumya S Gurbani; Chad A Holder; Jeffrey J Olson; Eduard Schreibmann; Ran Shi; Ying Guo; Hui-Kuo G Shu; Hyunsuk Shim; Costas G Hadjipanayis
Journal:  Mol Imaging Biol       Date:  2016-06       Impact factor: 3.488

6.  Quantitative tumor segmentation for evaluation of extent of glioblastoma resection to facilitate multisite clinical trials.

Authors:  James S Cordova; Eduard Schreibmann; Costas G Hadjipanayis; Ying Guo; Hui-Kuo G Shu; Hyunsuk Shim; Chad A Holder
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

Review 7.  Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients, in-vitro and in-vivo reproducibility.

Authors:  Maysam M Jafar; Arman Parsai; Marc E Miquel
Journal:  World J Radiol       Date:  2016-01-28

8.  Quantitative multi-parameter mapping of R1, PD(*), MT, and R2(*) at 3T: a multi-center validation.

Authors:  Nikolaus Weiskopf; John Suckling; Guy Williams; Marta M Correia; Becky Inkster; Roger Tait; Cinly Ooi; Edward T Bullmore; Antoine Lutti
Journal:  Front Neurosci       Date:  2013-06-10       Impact factor: 4.677

9.  Semi-quantitative parameter analysis of DCE-MRI revisited: monte-carlo simulation, clinical comparisons, and clinical validation of measurement errors in patients with type 2 neurofibromatosis.

Authors:  Alan Jackson; Ka-Loh Li; Xiaoping Zhu
Journal:  PLoS One       Date:  2014-03-04       Impact factor: 3.240

10.  Diffusion-weighted MRI characteristics of the cerebral metastasis to brain boundary predicts patient outcomes.

Authors:  Rasheed Zakaria; Kumar Das; Mark Radon; Maneesh Bhojak; Philip R Rudland; Vanessa Sluming; Michael D Jenkinson
Journal:  BMC Med Imaging       Date:  2014-08-03       Impact factor: 1.930

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.