Magnetic resonance imaging biomarkers for clinical routine assessment of microvascular architecture in glioma.
Knowledge about the topological and structural heterogeneity of the microvasculature is important for diagnosis and monitoring of glioma. A vessel caliber and type-dependent temporal shift in the magnetic resonance imaging signal forms the basis for vascular architecture mapping. This study introduced a clinically feasible approach for assessment of vascular pathologies in gliomas using vascular architecture mapping. Sixty consecutive patients with known or suspected gliomas were examined using vascular architecture mapping as part of the routine magnetic resonance imaging protocol. Maps of microvessel radius and density, which adapted to the vasculature-dependent temporal shift phenomenon, were calculated using a costume-made software tool. Microvessel radius and density were moderately to severely elevated in a heterogeneous, inversely correlated pattern within high-grade gliomas. Additionally, three new imaging biomarkers were introduced: Microvessel type indicator allowing differentiation between supplying arterial and draining venous microvasculature in high-grade gliomas. Vascular-induced bolus peak time shift may presumably be sensitive for early neovascularization in the infiltration zone. Surprisingly, curvature showed significant changes in peritumoral vasogenic edema which correlated with neovascularization in the tumor core of high-grade gliomas. These new magnetic resonance imaging biomarkers give insights into complexity and heterogeneity of vascular changes in glioma; however, histological validations in more well-defined patient populations are required.
1 Department of Neurosurgery, University of Erlangen-Nürnberg, Erlangen, Germany.|2 Institute of Medical Radiology, University Clinic of St. Pölten, St. Pölten, Austria.
Andreas
A
Stadlbauer
1 Department of Neurosurgery, University of Erlangen-Nürnberg, Erlangen, Germany.
Max
M
Zimmermann
2 Institute of Medical Radiology, University Clinic of St. Pölten, St. Pölten, Austria.
Gertraud
G
Heinz
3 Department of Neurology, University Clinic of St. Pölten, St. Pölten, Austria.
Stefan
S
Oberndorfer
4 Department of Neuroradiology, University of Erlangen-Nürnberg, Erlangen, German y.
Arnd
A
Doerfler
1 Department of Neurosurgery, University of Erlangen-Nürnberg, Erlangen, Germany.
Michael
M
Buchfelder
1 Department of Neurosurgery, University of Erlangen-Nürnberg, Erlangen, Germany.
Karl
K
Rössler
D000328:Adult; D000368:Aged; D001921:Brain / Q000098:blood supply* / Q000000981:diagnostic imaging / Q000473:pathology; D001932:Brain Neoplasms / Q000098:blood supply* / Q000000981:diagnostic imaging / Q000473:pathology; D005260:Female; D005910:Glioma / Q000098:blood supply* / Q000000981:diagnostic imaging / Q000473:pathology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D055806:Microvessels / Q000000981:diagnostic imaging* / Q000473:pathology; D008875:Middle Aged
Magnetic resonance imaging; human brain; imaging biomarker; microvasculature; perfusion