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MR evaluation of vessel size imaging of human gliomas: Validation by histopathology

Authors :
Horst Urbach
Elias Kellner
Michael Trippel
Florian Stein
Ori Staszewski
Olga Dyakova
Tobias Breyer
Olaf Saborowski
Valerij G. Kiselev
Klaus Müller
Peter Gall
Irina Mader
Source :
Journal of Magnetic Resonance Imaging. 42:1117-1125
Publication Year :
2015
Publisher :
Wiley, 2015.

Abstract

Purpose To compare the vessel size and the cerebral blood volume in human gliomas with histopathology. Vessel size imaging (VSI) is a dynamic susceptibility contrast method for the assessment of the vessel size in normal and pathological tissue. Previous publications in rodents showed a satisfactory conformity with the vessel size derived from histopathology. To assess the clinical value, further, the progression-free interval was determined and correlated. Materials and Methods Twenty-five gliomas (WHO grade °II [n = 10], °III [n = 3], °IV [n = 12]) were prospectively included and received a stereotaxic biopsy after VSI. The vessel size and the cerebral blood volume (CBV) were calculated in regions of interest at the tumor edge and correlated with the vessel size measured by histopathology. Results Both VSI and CBV showed a good correlation with the vessel size in histopathology (up to r = 0.84, P < 0.001, and r = 0.62, P < 0.001, respectively). Slope and offset of the linear regression (y = 0.77x + 0.36 μm) suggest that the size of normal capillaries is overestimated with VSI, while for grossly enlarged vessels an underestimation occurs. Both VSI and CBV were negatively correlated with the progression-free interval (r = –0.57, P = 0.008, and r = –0.50, P = 0.025, respectively). Conclusion The correlation between VSI and vessel size from histopathology is in good accordance with the animal studies. The overestimation of small capillary sizes is also known from the animal trials. Vessel size and CBV showed similar results, both for the correlation with the histopathological vessel size and the progression-free interval. J. Magn. Reson. Imaging 2015;42:1117–1125.

Details

ISSN :
10531807
Volume :
42
Database :
OpenAIRE
Journal :
Journal of Magnetic Resonance Imaging
Accession number :
edsair.doi...........ac89c11e0f2b94e4c412b0c652001c26
Full Text :
https://doi.org/10.1002/jmri.24864