TY - GEN
T1 - Cerebral blood flow and predictors of white matter lesions in adults with Tetralogy of Fallot
AU - Chai, Yaqiong
AU - Chen, Jieshen
AU - Galarza, Cristina
AU - Sluman, Maaykea.
AU - Xu, Botian
AU - Vu, Chau Q.
AU - Richard, Edo
AU - Mulder, Barbara
AU - Tamrazi, Benita
AU - Lepore, Natasha
AU - Mutsaerts, Henri J. M. M.
AU - Wood, John C.
PY - 2018
Y1 - 2018
N2 - Long-term outcomes for Tetralogy of Fallot (TOF) have improved dramatically in recent years, but survivors are still afflicted by cerebral damage. In this paper, we characterized the prevalence and predictors of cerebral silent infarction (SCI) and their relationship to cerebral blood flow (CBF) in 46 adult TOF patients. We calculated both whole brain and regional CBF using 2D arterial spin labeling (ASL) images, and investigated the spatial overlap between voxel-wise CBF values and white matter hyperintensities (WMHs) identified from T2-FLAIR images. SCIs were found in 83% of subjects and were predicted by the year of the patient's first cardiac surgery and patient's age at scanning (combined r2 0.44). CBF was not different in brain regions prone to stroke compared with healthy white matter.
AB - Long-term outcomes for Tetralogy of Fallot (TOF) have improved dramatically in recent years, but survivors are still afflicted by cerebral damage. In this paper, we characterized the prevalence and predictors of cerebral silent infarction (SCI) and their relationship to cerebral blood flow (CBF) in 46 adult TOF patients. We calculated both whole brain and regional CBF using 2D arterial spin labeling (ASL) images, and investigated the spatial overlap between voxel-wise CBF values and white matter hyperintensities (WMHs) identified from T2-FLAIR images. SCIs were found in 83% of subjects and were predicted by the year of the patient's first cardiac surgery and patient's age at scanning (combined r2 0.44). CBF was not different in brain regions prone to stroke compared with healthy white matter.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048141026&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/30344894
U2 - https://doi.org/10.1109/ISBI.2018.8363812
DO - https://doi.org/10.1109/ISBI.2018.8363812
M3 - Conference contribution
C2 - 30344894
VL - 2018-April
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1309
EP - 1312
BT - 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PB - IEEE Computer Society
T2 - 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
Y2 - 4 April 2018 through 7 April 2018
ER -