Literature DB >> 9802495

The effect of section thickness on MR lesion detection and quantification in multiple sclerosis.

P D Molyneux1, N Tubridy, G J Parker, G J Barker, D G MacManus, P S Tofts, I F Moseley, D H Miller.   

Abstract

BACKGROUND AND
PURPOSE: The purpose of our study was to investigate the effect of section thickness on MR detection of brain lesion volume and measurement precision in patients with multiple sclerosis (MS).
METHODS: Eight subjects with known MS were studied on a 1.5-T MR system. We used a 3D fast fluid-attenuated inversion-recovery sequence to obtain contiguous axial brain images at section thicknesses of 5 mm, 3 mm, and 1 mm. Two sets of images were acquired at each section thickness during two sessions, between which the patient was removed from the scanner. Lesion volumes were measured at each section thickness using a semiautomated local thresholding technique.
RESULTS: We found that progressive reduction in section thickness led to detection of smaller lesions, resulting in a significant (8%) increase in lesion volume on MR images as section thickness was reduced from 5 mm to 3 mm. However, despite a further increase in lesion detection at a section thickness of 1 mm, this did not result in an increase in total lesion volume. This finding indicates that the relationship between section thickness and lesion volume on MR images is not linear. Scan-rescan reproducibility was improved by reducing section thickness, at the cost of increased analysis time.
CONCLUSION: This study shows that acquisition of very thin sections increases the sensitivity and precision of MS lesion measurement. Serial studies assessing lesion changes over time are needed to define the impact of this increase on sample size requirements for MS treatment trials.

Entities:  

Mesh:

Year:  1998        PMID: 9802495      PMCID: PMC8337483     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  15 in total

1.  Isolated demyelinating syndromes: comparison of different MR imaging criteria to predict conversion to clinically definite multiple sclerosis.

Authors:  M Tintoré; A Rovira; M J Martínez; J Rio; P Díaz-Villoslada; L Brieva; C Borrás; E Grivé; J Capellades; X Montalban
Journal:  AJNR Am J Neuroradiol       Date:  2000-04       Impact factor: 3.825

2.  Does high-field MR imaging have an influence on the classification of patients with clinically isolated syndromes according to current diagnostic mr imaging criteria for multiple sclerosis?

Authors:  M P Wattjes; M Harzheim; C K Kuhl; J Gieseke; S Schmidt; L Klotz; T Klockgether; H H Schild; G G Lutterbey
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

3.  Age-related signal intensity changes in the corpus callosum: assessment with three orthogonal FLAIR images.

Authors:  Akira Yamamoto; Yukio Miki; Hidekazu Tomimoto; Mitsunori Kanagaki; Takahiro Takahashi; Yasutaka Fushimi; Junya Konishi; Tabassum Laz Haque; Kaori Togashi
Journal:  Eur Radiol       Date:  2005-04-26       Impact factor: 5.315

4.  Detection of lesions in multiple sclerosis by 2D FLAIR and single-slab 3D FLAIR sequences at 3.0 T: initial results.

Authors:  Andrea Bink; Melanie Schmitt; Jochen Gaa; John P Mugler; Heinrich Lanfermann; Friedhelm E Zanella
Journal:  Eur Radiol       Date:  2006-01-20       Impact factor: 5.315

5.  Accuracy of postcontrast 3D turbo spin-echo MR sequence for the detection of enhanced inflammatory lesions in patients with multiple sclerosis.

Authors:  J Hodel; O Outteryck; E Ryo; A-L Bocher; O Lambert; D Chéchin; H Zéphir; A Lacour; J-P Pruvo; P Vermersch; X Leclerc
Journal:  AJNR Am J Neuroradiol       Date:  2013-11-07       Impact factor: 3.825

6.  FLAIR imaging for multiple sclerosis: a comparative MR study at 1.5 and 3.0 Tesla.

Authors:  Rainald Bachmann; Ralf Reilmann; Wolfram Schwindt; Harald Kugel; Walter Heindel; Stefan Krämer
Journal:  Eur Radiol       Date:  2005-12-20       Impact factor: 5.315

7.  3D fat-suppressed T1-weighted volume isotropic turbo spin-echo acquisition (VISTA) imaging for the evaluation of the ectopic posterior pituitary gland.

Authors:  Minako Azuma; Yoshihito Kadota; Misayo Matsuyama; Hiroshi Moritake; Toshinori Hirai
Journal:  Jpn J Radiol       Date:  2021-04-16       Impact factor: 2.374

8.  A comparative MRI study for white matter hyperintensities detection: 2D-FLAIR, FSE PD 2D, 3D-FLAIR and FLAIR MIP.

Authors:  Á Paniagua Bravo; J J Sánchez Hernández; L Ibáñez Sanz; I Alba de Cáceres; J L Crespo San José; B García-Castaño Gandariaga
Journal:  Br J Radiol       Date:  2014-02-03       Impact factor: 3.039

9.  Effect of thin-section diffusion-weighted MR imaging on stroke diagnosis.

Authors:  Hisao Nakamura; Kei Yamada; Osamu Kizu; Hirotoshi Ito; Sachiko Yuen; Takaaki Ito; Kenji Yoshikawa; Kensuke Shiga; Masanori Nakagawa; Tsunehiko Nishimura
Journal:  AJNR Am J Neuroradiol       Date:  2005-03       Impact factor: 3.825

10.  Multi-contrast, isotropic, single-slab 3D MR imaging in multiple sclerosis.

Authors:  Bastiaan Moraal; Stefan D Roosendaal; Petra J W Pouwels; Hugo Vrenken; Ronald A van Schijndel; Dominik S Meier; Charles R G Guttmann; Jeroen J G Geurts; Frederik Barkhof
Journal:  Eur Radiol       Date:  2008-05-29       Impact factor: 5.315

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