MR Vascular Fingerprinting with Hybrid Gradient–Spin Echo Dynamic Susceptibility Contrast MRI for Characterization of Microvasculature in Gliomas

Krishnapriya Venugopal; Fatemeh Arzanforoosh; Daniëlle van Dorth; Marion Smits; Matthias J.P. van Osch; Juan A. Hernandez-Tamames; Esther A.H. Warnert; Dirk H.J. Poot

doi:10.3390/cancers15072180

MR Vascular Fingerprinting with Hybrid Gradient–Spin Echo Dynamic Susceptibility Contrast MRI for Characterization of Microvasculature in Gliomas

Krishnapriya Venugopal^*, Fatemeh Arzanforoosh, Daniëlle van Dorth, Marion Smits, Matthias J.P. van Osch, Juan A. Hernandez-Tamames, Esther A.H. Warnert, Dirk H.J. Poot^*

^*Corresponding author for this work

Radiology & Nuclear Medicine

Research output: Contribution to journal › Article › Academic › peer-review

1 Citation (Scopus)

Abstract

Characterization of tumor microvasculature is important in tumor assessment and studying treatment response. This is possible by acquiring vascular biomarkers with magnetic resonance imaging (MRI) based on dynamic susceptibility contrast (DSC). We propose magnetic resonance vascular fingerprinting (MRVF) for hybrid echo planar imaging (HEPI) acquired during the first passage of the contrast agent (CA). The proposed approach was evaluated in patients with gliomas, and we simultaneously estimated vessel radius and relative cerebral blood volume. These parameters were also compared to the respective values estimated using the previously introduced vessel size imaging (VSI) technique. The results of both methods were found to be consistent. MRVF was also found to be robust to noise in the estimation of the parameters. DSC-HEPI-based MRVF provides characterization of microvasculature in gliomas with a short acquisition time and can be further improved in several ways to increase our understanding of tumor physiology.

Original language	English
Article number	2180
Journal	Cancers
Volume	15
Issue number	7
DOIs	https://doi.org/10.3390/cancers15072180
Publication status	Published - 6 Apr 2023

Bibliographical note

Funding Information:
This publication is part of the project “Vascular Signature Mapping of Brain Tumor Genotypes” (project number 17079) of the open technology research program of Applied and Engineering Sciences, which is (partly) financed by the Dutch Research Council (NWO). EW was funded by a “Veni Vernieuwingsimpuls” from the Dutch Research Council entitled “Food for thought: Oxygen delivery to the brain,” under grant number 91619121.

Publisher Copyright:
© 2023 by the authors.

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MR Vascular Fingerprinting with Hybrid Gradient–Spin Echo Dynamic Susceptibility Contrast MRI for Characterization of Microvasculature in GliomasFinal published version, 1.68 MBLicence: CC BY

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title = "MR Vascular Fingerprinting with Hybrid Gradient–Spin Echo Dynamic Susceptibility Contrast MRI for Characterization of Microvasculature in Gliomas",

abstract = "Characterization of tumor microvasculature is important in tumor assessment and studying treatment response. This is possible by acquiring vascular biomarkers with magnetic resonance imaging (MRI) based on dynamic susceptibility contrast (DSC). We propose magnetic resonance vascular fingerprinting (MRVF) for hybrid echo planar imaging (HEPI) acquired during the first passage of the contrast agent (CA). The proposed approach was evaluated in patients with gliomas, and we simultaneously estimated vessel radius and relative cerebral blood volume. These parameters were also compared to the respective values estimated using the previously introduced vessel size imaging (VSI) technique. The results of both methods were found to be consistent. MRVF was also found to be robust to noise in the estimation of the parameters. DSC-HEPI-based MRVF provides characterization of microvasculature in gliomas with a short acquisition time and can be further improved in several ways to increase our understanding of tumor physiology.",

author = "Krishnapriya Venugopal and Fatemeh Arzanforoosh and {van Dorth}, Dani{\"e}lle and Marion Smits and {van Osch}, {Matthias J.P.} and Hernandez-Tamames, {Juan A.} and Warnert, {Esther A.H.} and Poot, {Dirk H.J.}",

note = "Funding Information: This publication is part of the project “Vascular Signature Mapping of Brain Tumor Genotypes” (project number 17079) of the open technology research program of Applied and Engineering Sciences, which is (partly) financed by the Dutch Research Council (NWO). EW was funded by a “Veni Vernieuwingsimpuls” from the Dutch Research Council entitled “Food for thought: Oxygen delivery to the brain,” under grant number 91619121. Publisher Copyright: {\textcopyright} 2023 by the authors.",

year = "2023",

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doi = "10.3390/cancers15072180",

language = "English",

volume = "15",

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AU - Venugopal, Krishnapriya

AU - Arzanforoosh, Fatemeh

AU - van Dorth, Daniëlle

AU - Smits, Marion

AU - van Osch, Matthias J.P.

AU - Hernandez-Tamames, Juan A.

AU - Warnert, Esther A.H.

AU - Poot, Dirk H.J.

N1 - Funding Information: This publication is part of the project “Vascular Signature Mapping of Brain Tumor Genotypes” (project number 17079) of the open technology research program of Applied and Engineering Sciences, which is (partly) financed by the Dutch Research Council (NWO). EW was funded by a “Veni Vernieuwingsimpuls” from the Dutch Research Council entitled “Food for thought: Oxygen delivery to the brain,” under grant number 91619121. Publisher Copyright: © 2023 by the authors.

PY - 2023/4/6

Y1 - 2023/4/6

N2 - Characterization of tumor microvasculature is important in tumor assessment and studying treatment response. This is possible by acquiring vascular biomarkers with magnetic resonance imaging (MRI) based on dynamic susceptibility contrast (DSC). We propose magnetic resonance vascular fingerprinting (MRVF) for hybrid echo planar imaging (HEPI) acquired during the first passage of the contrast agent (CA). The proposed approach was evaluated in patients with gliomas, and we simultaneously estimated vessel radius and relative cerebral blood volume. These parameters were also compared to the respective values estimated using the previously introduced vessel size imaging (VSI) technique. The results of both methods were found to be consistent. MRVF was also found to be robust to noise in the estimation of the parameters. DSC-HEPI-based MRVF provides characterization of microvasculature in gliomas with a short acquisition time and can be further improved in several ways to increase our understanding of tumor physiology.

AB - Characterization of tumor microvasculature is important in tumor assessment and studying treatment response. This is possible by acquiring vascular biomarkers with magnetic resonance imaging (MRI) based on dynamic susceptibility contrast (DSC). We propose magnetic resonance vascular fingerprinting (MRVF) for hybrid echo planar imaging (HEPI) acquired during the first passage of the contrast agent (CA). The proposed approach was evaluated in patients with gliomas, and we simultaneously estimated vessel radius and relative cerebral blood volume. These parameters were also compared to the respective values estimated using the previously introduced vessel size imaging (VSI) technique. The results of both methods were found to be consistent. MRVF was also found to be robust to noise in the estimation of the parameters. DSC-HEPI-based MRVF provides characterization of microvasculature in gliomas with a short acquisition time and can be further improved in several ways to increase our understanding of tumor physiology.

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M1 - 2180

ER -

MR Vascular Fingerprinting with Hybrid Gradient–Spin Echo Dynamic Susceptibility Contrast MRI for Characterization of Microvasculature in Gliomas

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