Authors: Xiao Y, Rivaz H, Kasuya H, Yokosako S, Mindru C, Teitelbaum J, Sirhan D, Sinclair D, Angle M, Lo BWY
Intra-operative Video Characterization of Carotid Artery Pulsation Patterns in Case Series with Post-endarterectomy Hypertension and Hyperperfusion Syndrome.
Transl Stroke Res. 2018 10;9(5):452-458
Authors: Xiao Y, Rivaz H, Kasuya H, Yokosako S, Mindru C, Teitelbaum J, Sirhan D, Sinclair D, Angle M, Lo BWY
Abstract
Cerebral hyperperfusion syndrome (CHS) is a complication that can occur after carotid endarterectomy (CEA), the treatment of choice to decrease the subsequent risk of fatal or disabling stroke for patients with symptomatic severe stenosis of the carotid artery. Because of its rarity and complexity, the mechanism of the condition is still unclear, making its prevention via prediction and monitoring challenging. This is especially true during surgery, when multiple factors can induce physiological changes, including blood pressure and baroreceptor functions, which are crucial factors for post-CEA hypertension and CHS. Thus, with intra-operative videos taken by surgical microscopes, we employed a new video processing technique to magnify ordinarily invisible carotid artery pulsation patterns as rhythmic color fluctuations. We applied the technique for three CEA cases, two of which developed CHS with post-CEA hypertension. For those with CHS, abnormal pulsation patterns were detected at the site of the baroreceptors. The results suggested that intra-operative baroreceptor dysfunction can potentially be linked with post-operative hypertension, as well as the occurrence of CHS. Guided by the preliminary discovery, further investigation may help establish the introduced technique as a simple and contactless technique to help predict post-CEA hypertension and CHS in order to facilitate the management and understanding of the condition and improve the care of CEA.
PMID: 29322480 [PubMed - indexed for MEDLINE]
Keywords: Baroreceptor; Carotid endarterectomy; Cerebral hyperperfusion syndrome; Hypertension; Image processing; Surgical video;
PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29322480?dopt=Abstract
DOI: 10.1007/s12975-017-0605-8