TY - JOUR
T1 - MRI-Based Assessment of Brain Tumor Hypoxia
T2 - Correlation with Histology
AU - Arzanforoosh, Fatemeh
AU - Van der Velden, Maaike
AU - Berman, Avery J.L.
AU - Van der Voort, Sebastian R.
AU - Bos, Eelke M.
AU - Schouten, Joost W.
AU - Vincent, Arnaud J.P.E.
AU - Kros, Johan M.
AU - Smits, Marion
AU - Warnert, Esther A.H.
N1 - Publisher Copyright: © 2023 by the authors.
PY - 2024/1
Y1 - 2024/1
N2 - Cerebral hypoxia significantly impacts the progression of brain tumors and their resistance to radiotherapy. This study employed streamlined quantitative blood-oxygen-level-dependent (sqBOLD) MRI to assess the oxygen extraction fraction (OEF)-a measure of how much oxygen is being extracted from vessels, with higher OEF values indicating hypoxia. Simultaneously, we utilized vessel size imaging (VSI) to evaluate microvascular dimensions and blood volume. A cohort of ten patients, divided between those with glioma and those with brain metastases, underwent a 3 Tesla MRI scan. We generated OEF, cerebral blood volume (CBV), and vessel size maps, which guided 3-4 targeted biopsies per patient. Subsequent histological analyses of these biopsies used hypoxia-inducible factor 1-alpha (HIF-1α) for hypoxia and CD31 for microvasculature assessment, followed by a correlation analysis between MRI and histological data. The results showed that while the sqBOLD model was generally applicable to brain tumors, it demonstrated discrepancies in some metastatic tumors, highlighting the need for model adjustments in these cases. The OEF, CBV, and vessel size maps provided insights into the tumor's hypoxic condition, showing intertumoral and intratumoral heterogeneity. A significant relationship between MRI-derived measurements and histological data was only evident in the vessel size measurements (r = 0.68, p < 0.001).
AB - Cerebral hypoxia significantly impacts the progression of brain tumors and their resistance to radiotherapy. This study employed streamlined quantitative blood-oxygen-level-dependent (sqBOLD) MRI to assess the oxygen extraction fraction (OEF)-a measure of how much oxygen is being extracted from vessels, with higher OEF values indicating hypoxia. Simultaneously, we utilized vessel size imaging (VSI) to evaluate microvascular dimensions and blood volume. A cohort of ten patients, divided between those with glioma and those with brain metastases, underwent a 3 Tesla MRI scan. We generated OEF, cerebral blood volume (CBV), and vessel size maps, which guided 3-4 targeted biopsies per patient. Subsequent histological analyses of these biopsies used hypoxia-inducible factor 1-alpha (HIF-1α) for hypoxia and CD31 for microvasculature assessment, followed by a correlation analysis between MRI and histological data. The results showed that while the sqBOLD model was generally applicable to brain tumors, it demonstrated discrepancies in some metastatic tumors, highlighting the need for model adjustments in these cases. The OEF, CBV, and vessel size maps provided insights into the tumor's hypoxic condition, showing intertumoral and intratumoral heterogeneity. A significant relationship between MRI-derived measurements and histological data was only evident in the vessel size measurements (r = 0.68, p < 0.001).
KW - blood vessels
KW - brain tumor
KW - cerebral hypoxia
KW - histology
KW - magnetic resonance imaging
UR - http://www.scopus.com/inward/record.url?scp=85182189607&partnerID=8YFLogxK
U2 - https://doi.org/10.3390/cancers16010138
DO - https://doi.org/10.3390/cancers16010138
M3 - Article
C2 - 38201565
SN - 2072-6694
VL - 16
JO - Cancers
JF - Cancers
IS - 1
M1 - 138
ER -