Zhensen Chen1, Li Chen2, Manabu Shirakawa3, Wenjin Liu3, Dakota Ortega3, Jinmei Chen3, Niranjan Balu3, Theodore Trouard4, Thomas S Hatsukami5, Wei Zhou6, Chun Yuan3. 1. Department of Radiology, University of Washington, Seattle, WA, USA. Electronic address: zhensenchen@gmail.com. 2. Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA. 3. Department of Radiology, University of Washington, Seattle, WA, USA. 4. Department of Biomedical Engineering, The University of Arizona, Tuscon, AZ, USA. 5. Department of Surgery, University of Washington, Seattle, WA, USA. 6. Department of Surgery, The University of Arizona, Tuscon, AZ, USA.
Abstract
PURPOSE: To characterize the intracranial vascular features extracted from time of flight (TOF) images and their changes from baseline to follow-up in patients undergoing carotid revascularization, using arterial spin labeling (ASL) cerebral blood flow (CBF) measurement as a reference. METHODS: In this retrospective study, brain TOF and ASL images of 99 subjects, acquired before, within 48 h, and/or 6 months after, carotid revascularization surgery were analyzed. TOF images were analyzed using a custom software (iCafe) to quantify intracranial vascular features, including total vessel length, total vessel volume, and number of branches. Mean whole-brain CBF was calculated from ASL images. ASL scans showing low ASL signal in the entire flow territory of an internal carotid artery (ICA), which may be caused by labeling failure, were excluded. Changes and correlations between time points were analyzed separately for TOF intracranial vascular features and ASL CBF. RESULTS: Similar to ASL CBF, TOF vascular features (i.e. total vessel length, total vessel volume and number of branches) increased dramatically from baseline to post-surgery, then returned to a level slightly higher than the baseline in long-term follow-up (All P < 0.05). Correlation between time points was observed for all three TOF vascular features but not for ASL CBF. CONCLUSION: Intracranial vascular features, including total vessel length, total vessel volume and number of branches, extracted from TOF images are useful in detecting brain blood flow changes induced by carotid revascularization surgery.
PURPOSE: To characterize the intracranial vascular features extracted from time of flight (TOF) images and their changes from baseline to follow-up in patients undergoing carotid revascularization, using arterial spin labeling (ASL) cerebral blood flow (CBF) measurement as a reference. METHODS: In this retrospective study, brain TOF and ASL images of 99 subjects, acquired before, within 48 h, and/or 6 months after, carotid revascularization surgery were analyzed. TOF images were analyzed using a custom software (iCafe) to quantify intracranial vascular features, including total vessel length, total vessel volume, and number of branches. Mean whole-brain CBF was calculated from ASL images. ASL scans showing low ASL signal in the entire flow territory of an internal carotid artery (ICA), which may be caused by labeling failure, were excluded. Changes and correlations between time points were analyzed separately for TOF intracranial vascular features and ASL CBF. RESULTS: Similar to ASL CBF, TOF vascular features (i.e. total vessel length, total vessel volume and number of branches) increased dramatically from baseline to post-surgery, then returned to a level slightly higher than the baseline in long-term follow-up (All P < 0.05). Correlation between time points was observed for all three TOF vascular features but not for ASL CBF. CONCLUSION: Intracranial vascular features, including total vessel length, total vessel volume and number of branches, extracted from TOF images are useful in detecting brain blood flow changes induced by carotid revascularization surgery.
Authors: Elizabeth Bullitt; Donglin Zeng; Benedicte Mortamet; Arpita Ghosh; Stephen R Aylward; Weili Lin; Bonita L Marks; Keith Smith Journal: Neurobiol Aging Date: 2010-02 Impact factor: 4.673
Authors: David C Alsop; John A Detre; Xavier Golay; Matthias Günther; Jeroen Hendrikse; Luis Hernandez-Garcia; Hanzhang Lu; Bradley J MacIntosh; Laura M Parkes; Marion Smits; Matthias J P van Osch; Danny J J Wang; Eric C Wong; Greg Zaharchuk Journal: Magn Reson Med Date: 2014-04-08 Impact factor: 4.668