Literature DB >> 35618421

Nonlesional Sources of Contrast Enhancement on Postgadolinium "Black-Blood" 3D T1-SPACE Images in Patients with Multiple Sclerosis.

L Danieli1, L Roccatagliata2, D Distefano, E Prodi1, G C Riccitelli3,4, A Diociasi2, L Carmisciano5, A Cianfoni1,4, T Bartalena6, A Kaelin-Lang3,4, C Gobbi3,4, C Zecca3,4, E Pravatà7,4.   

Abstract

BACKGROUND AND
PURPOSE: We hypothesized that 3D T1-TSE "black-blood" images may carry an increased risk of contrast-enhancing lesion misdiagnosis in patients with MS because of the misinterpretation of intraparenchymal vein enhancement. Thus, the occurrence of true-positive and false-positive findings was compared between standard MPRAGE and volumetric interpolated brain examination techniques.
MATERIALS AND METHODS: Sampling perfection with application-optimized contrasts by using different flip-angle evolution (SPACE) images obtained from 232 patients with MS, clinically isolated syndrome, or radiologically isolated syndrome were compared with standard MPRAGE and volumetric interpolated brain examination images. The intraparenchymal vein contrast-to-noise ratio was estimated at the level of the thalami. Contrast-enhancing lesions were blindly detected by 2 expert readers and 1 beginner reader. True- and false-positives were determined by senior readers' consensus. True-positive and false-positive frequency differences and patient-level diagnosis probability were tested with the McNemar test and OR. The contrast-to-noise ratio and morphology were compared using the Mann-Whitney U and χ2 tests.
RESULTS: The intraparenchymal vein contrast-to-noise ratio was higher in SPACE than in MPRAGE and volumetric interpolated brain examination images (P < .001, both). There were 66 true-positives and 74 false-positives overall. SPACE detected more true-positive and false-positive results (P range < .001-.07) but did not increase the patient's true-positive likelihood (OR = 1 1.29, P = .478-1). However, the false-positive likelihood was increased (OR = 3.03-3.55, P = .008-.027). Venous-origin false-positives (n = 59) with contrast-to-noise ratio and morphology features similar to small-sized (≤14 mm3 P = .544) true-positives occurred more frequently in SPACE images (P < .001).
CONCLUSIONS: Small intraparenchymal veins may confound the diagnosis of enhancing lesions on postgadolinium black-blood SPACE images.
© 2022 by American Journal of Neuroradiology.

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Year:  2022        PMID: 35618421      PMCID: PMC9172944          DOI: 10.3174/ajnr.A7529

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   4.966


  37 in total

Review 1.  Radiologically isolated syndrome--incidental magnetic resonance imaging findings suggestive of multiple sclerosis, a systematic review.

Authors:  Tobias Granberg; Juha Martola; Maria Kristoffersen-Wiberg; Peter Aspelin; Sten Fredrikson
Journal:  Mult Scler       Date:  2012-07-03       Impact factor: 6.312

2.  Brain Tumor-Enhancement Visualization and Morphometric Assessment: A Comparison of MPRAGE, SPACE, and VIBE MRI Techniques.

Authors:  L Danieli; G C Riccitelli; D Distefano; E Prodi; E Ventura; A Cianfoni; A Kaelin-Lang; M Reinert; E Pravatà
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-20       Impact factor: 3.825

3.  Improved black-blood imaging using DANTE-SPACE for simultaneous carotid and intracranial vessel wall evaluation.

Authors:  Yibin Xie; Qi Yang; Guoxi Xie; Jianing Pang; Zhaoyang Fan; Debiao Li
Journal:  Magn Reson Med       Date:  2015-07-08       Impact factor: 4.668

4.  Volumetric analysis of white matter, gray matter, and CSF using fractional volume analysis.

Authors:  B J Bedell; P A Narayana
Journal:  Magn Reson Med       Date:  1998-06       Impact factor: 4.668

Review 5.  Multiple sclerosis - a review.

Authors:  R Dobson; G Giovannoni
Journal:  Eur J Neurol       Date:  2018-11-18       Impact factor: 6.089

6.  Comparison of post-contrast 3D-T1-MPRAGE, 3D-T1-SPACE and 3D-T2-FLAIR MR images in evaluation of meningeal abnormalities at 3-T MRI.

Authors:  Balaji Jeevanandham; Tejas Kalyanpur; Prashant Gupta; Mathew Cherian
Journal:  Br J Radiol       Date:  2017-04-26       Impact factor: 3.039

7.  Comparison of Unenhanced and Gadolinium-Enhanced Imaging in Multiple Sclerosis: Is Contrast Needed for Routine Follow-Up MRI?

Authors:  G Sadigh; A M Saindane; A D Waldman; N S Lava; R Hu
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-22       Impact factor: 3.825

8.  Automated detection and characterization of multiple sclerosis lesions in brain MR images.

Authors:  D Goldberg-Zimring; A Achiron; S Miron; M Faibel; H Azhari
Journal:  Magn Reson Imaging       Date:  1998-04       Impact factor: 2.546

9.  Multiple Sclerosis: Improved Detection of Active Cerebral Lesions With 3-Dimensional T1 Black-Blood Magnetic Resonance Imaging Compared With Conventional 3-Dimensional T1 GRE Imaging.

Authors:  Nora N Sommer; Tobias Saam; Eva Coppenrath; Hendrik Kooijman; Tania Kümpfel; Maximilian Patzig; Sebastian E Beyer; Wieland H Sommer; Maximilian F Reiser; Birgit Ertl-Wagner; Karla M Treitl
Journal:  Invest Radiol       Date:  2018-01       Impact factor: 6.016

10.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

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