TY - JOUR
T1 - MR Vascular Fingerprinting with Hybrid Gradient–Spin Echo Dynamic Susceptibility Contrast MRI for Characterization of Microvasculature in Gliomas
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.
PY - 2023
Y1 - 2023
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.
KW - cerebral blood volume
KW - dynamic susceptibility contrast imaging
KW - glioma
KW - MR vascular fingerprinting
KW - vascular biomarkers
KW - vessel radius
KW - vessel size imaging
UR - http://www.scopus.com/inward/record.url?scp=85152414054&partnerID=8YFLogxK
U2 - 10.3390/cancers15072180
DO - 10.3390/cancers15072180
M3 - Article
AN - SCOPUS:85152414054
SN - 2072-6694
VL - 15
JO - Cancers
JF - Cancers
IS - 7
M1 - 2180
ER -