CEREBRAL BLOOD FLOW AND PREDICTORS OF WHITE MATTER LESIONS IN ADULTS WITH TETRALOGY OF FALLOT

Yaqiong Chai; Jieshen Chen; Cristina Galarza; Maayke A Sluman; Botian Xu; Chau Q Vu; Edo Richard; Barbara Mulder; Benita Tamrazi; Natasha Lepore; Henri J M M Mutsaerts; John C Wood

doi:10.1109/ISBI.2018.8363812

CEREBRAL BLOOD FLOW AND PREDICTORS OF WHITE MATTER LESIONS IN ADULTS WITH TETRALOGY OF FALLOT

Yaqiong Chai, Jieshen Chen, Cristina Galarza, Maayke A Sluman, Botian Xu, Chau Q Vu, Edo Richard, Barbara Mulder, Benita Tamrazi, Natasha Lepore, Henri J M M Mutsaerts, John C Wood

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

Abstract

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.

Original language	English
Pages (from-to)	1309-1312
Number of pages	4
Journal	Proceedings. IEEE International Symposium on Biomedical Imaging
Volume	2018
DOIs	https://doi.org/10.1109/ISBI.2018.8363812
Publication status	Published - Apr 2018
Externally published	Yes

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10.1109/ISBI.2018.8363812

Cite this

Chai, Y., Chen, J., Galarza, C., Sluman, M. A., Xu, B., Vu, C. Q., Richard, E., Mulder, B., Tamrazi, B., Lepore, N., Mutsaerts, H. J. M. M., & Wood, J. C. (2018). CEREBRAL BLOOD FLOW AND PREDICTORS OF WHITE MATTER LESIONS IN ADULTS WITH TETRALOGY OF FALLOT. Proceedings. IEEE International Symposium on Biomedical Imaging, 2018, 1309-1312. https://doi.org/10.1109/ISBI.2018.8363812

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abstract = "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.",

author = "Yaqiong Chai and Jieshen Chen and Cristina Galarza and Sluman, {Maayke A} and Botian Xu and Vu, {Chau Q} and Edo Richard and Barbara Mulder and Benita Tamrazi and Natasha Lepore and Mutsaerts, {Henri J M M} and Wood, {John C}",

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doi = "10.1109/ISBI.2018.8363812",

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AU - Chen, Jieshen

AU - Galarza, Cristina

AU - Sluman, Maayke A

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

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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.

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