Hemodynamic Risk Factors for the Development of Carotid Stenosis in Patients with Unilateral Carotid Stenosis

It is difficult to predict the development of carotid stenosis by means of the known risk factors. Using a computational fluid dynamics analysis, we examined the hemodynamic risks for carotid stenosis, focusing on wall shear stress (WSS) disturbances. In 59 patients with unilateral carotid stenosis,...

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Veröffentlicht in:World neurosurgery 2022-04, Vol.160, p.e353-e371
Hauptverfasser: Fukuda, Shunichi, Shimogonya, Yuji, Yonemoto, Naohiro, Fukuda, Miyuki, Watanabe, Aoi, Fujiwara, Kazuha, Enomoto, Riku, Hasegawa, Koji, Yasoda, Akihiro, Tsukahara, Tetsuya, Ezura, Masayuki, Ishihara, Masayuki, Kurihara, Hideyuki, Furumoto, Hideharu, Tanno, Hirokazu, Masaoka, Hiroyuki, Saito, Ryoichi, Sakai, Keiichi, Odake, Yasuko, Shoin, Katsuo, Fujisawa, Hironori, Suzaki, Noriyuki, Sakai, Hideki, Yamada, Tomonori, Adachi, Yoshiki, Manabe, Yasuhiro, Torii, Tsuyoshi, Sadatomo, Takashi, Izumihara, Akifumi, Yamashita, Katsuhiro, Okada, Yasushi, Nakane, Hiroshi, Miyazono, Masayuki, Tsutsumi, Keisuke, Takita, Tomohiro, Kosaki, Yanosuke, Nagai, Yasuyuki, Iihara, Koji, Izumo, Tsuyoshi, Sakai, Nobuyuki, Suyama, Kazuhiko, Oogami, Hisako, Nakajo, Natsuko, Kikuchi, Satomi
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container_title World neurosurgery
container_volume 160
creator Fukuda, Shunichi
Shimogonya, Yuji
Yonemoto, Naohiro
Fukuda, Miyuki
Watanabe, Aoi
Fujiwara, Kazuha
Enomoto, Riku
Hasegawa, Koji
Yasoda, Akihiro
Tsukahara, Tetsuya
Fukuda, Shunichi
Shimogonya, Yuji
Yonemoto, Naohiro
Ezura, Masayuki
Ishihara, Masayuki
Kurihara, Hideyuki
Furumoto, Hideharu
Tanno, Hirokazu
Masaoka, Hiroyuki
Saito, Ryoichi
Sakai, Keiichi
Odake, Yasuko
Shoin, Katsuo
Fujisawa, Hironori
Suzaki, Noriyuki
Sakai, Hideki
Yamada, Tomonori
Adachi, Yoshiki
Manabe, Yasuhiro
Torii, Tsuyoshi
Sadatomo, Takashi
Izumihara, Akifumi
Yamashita, Katsuhiro
Okada, Yasushi
Nakane, Hiroshi
Miyazono, Masayuki
Tsutsumi, Keisuke
Takita, Tomohiro
Kosaki, Yanosuke
Nagai, Yasuyuki
Iihara, Koji
Izumo, Tsuyoshi
Sakai, Nobuyuki
Suyama, Kazuhiko
Oogami, Hisako
Fukuda, Miyuki
Watanabe, Aoi
Fujiwara, Kazuha
Nakajo, Natsuko
Kikuchi, Satomi
description It is difficult to predict the development of carotid stenosis by means of the known risk factors. Using a computational fluid dynamics analysis, we examined the hemodynamic risks for carotid stenosis, focusing on wall shear stress (WSS) disturbances. In 59 patients with unilateral carotid stenosis, the plaque was removed from the original three-dimensional computed tomography angiographic images, and the vessel shape before stenosis was artificially reproduced. A multivariate regression analysis was performed to determine the associations between the degree of area stenosis and hemodynamic and morphologic factors after adjustment for 6 known risk factors. Metrics for WSS disturbances were higher at and distal to a bifurcation in the carotid arteries after plaque removal compared with the normal carotid arteries, and metrics for WSS magnitudes were lower. In the plaque-removed arteries, the degree of stenosis was significantly negatively correlated with the ratio of stenotic to distal values of metrics for WSS disturbances and the diameter ratio of the external to common carotid artery, and positively correlated with the ratio of proximal to stenotic values of metrics for WSS magnitudes. Rapid increases in WSS from the common carotid artery toward the bifurcation, rapid decreases in WSS disturbance from the bifurcation toward the internal carotid artery, and lower diameter ratio of the external to common carotid artery are more likely than other risk factors to cause future severe stenosis. In patients with these hemodynamic risks, underlying diseases should be controlled more strictly, with imaging examinations at shorter intervals.
doi_str_mv 10.1016/j.wneu.2022.01.019
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Using a computational fluid dynamics analysis, we examined the hemodynamic risks for carotid stenosis, focusing on wall shear stress (WSS) disturbances. In 59 patients with unilateral carotid stenosis, the plaque was removed from the original three-dimensional computed tomography angiographic images, and the vessel shape before stenosis was artificially reproduced. A multivariate regression analysis was performed to determine the associations between the degree of area stenosis and hemodynamic and morphologic factors after adjustment for 6 known risk factors. Metrics for WSS disturbances were higher at and distal to a bifurcation in the carotid arteries after plaque removal compared with the normal carotid arteries, and metrics for WSS magnitudes were lower. In the plaque-removed arteries, the degree of stenosis was significantly negatively correlated with the ratio of stenotic to distal values of metrics for WSS disturbances and the diameter ratio of the external to common carotid artery, and positively correlated with the ratio of proximal to stenotic values of metrics for WSS magnitudes. Rapid increases in WSS from the common carotid artery toward the bifurcation, rapid decreases in WSS disturbance from the bifurcation toward the internal carotid artery, and lower diameter ratio of the external to common carotid artery are more likely than other risk factors to cause future severe stenosis. In patients with these hemodynamic risks, underlying diseases should be controlled more strictly, with imaging examinations at shorter intervals.</description><identifier>ISSN: 1878-8750</identifier><identifier>EISSN: 1878-8769</identifier><identifier>DOI: 10.1016/j.wneu.2022.01.019</identifier><identifier>PMID: 35026460</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Carotid Arteries ; Carotid Artery, Internal - diagnostic imaging ; Carotid Artery, Internal - surgery ; Carotid bifurcation stenosis ; Carotid Stenosis - diagnostic imaging ; Carotid Stenosis - surgery ; Computational fluid dynamics ; Hemodynamics ; Humans ; Risk factor ; Risk Factors ; Stress, Mechanical ; Three-dimensional computed tomography angiography ; Wall shear stress</subject><ispartof>World neurosurgery, 2022-04, Vol.160, p.e353-e371</ispartof><rights>2022 Elsevier Inc.</rights><rights>Copyright © 2022 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-5bbc1e92218127ce772d4bcf6270873469a171cbceec24b23c53be7e0b24d7eb3</citedby><cites>FETCH-LOGICAL-c356t-5bbc1e92218127ce772d4bcf6270873469a171cbceec24b23c53be7e0b24d7eb3</cites><orcidid>0000-0001-9210-2175 ; 0000-0001-8876-4889 ; 0000-0002-9122-6253 ; 0000-0002-2849-2700</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1878875022000213$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35026460$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fukuda, Shunichi</creatorcontrib><creatorcontrib>Shimogonya, Yuji</creatorcontrib><creatorcontrib>Yonemoto, Naohiro</creatorcontrib><creatorcontrib>Fukuda, Miyuki</creatorcontrib><creatorcontrib>Watanabe, Aoi</creatorcontrib><creatorcontrib>Fujiwara, Kazuha</creatorcontrib><creatorcontrib>Enomoto, Riku</creatorcontrib><creatorcontrib>Hasegawa, Koji</creatorcontrib><creatorcontrib>Yasoda, Akihiro</creatorcontrib><creatorcontrib>Tsukahara, Tetsuya</creatorcontrib><creatorcontrib>Fukuda, Shunichi</creatorcontrib><creatorcontrib>Shimogonya, Yuji</creatorcontrib><creatorcontrib>Yonemoto, Naohiro</creatorcontrib><creatorcontrib>Ezura, Masayuki</creatorcontrib><creatorcontrib>Ishihara, Masayuki</creatorcontrib><creatorcontrib>Kurihara, Hideyuki</creatorcontrib><creatorcontrib>Furumoto, Hideharu</creatorcontrib><creatorcontrib>Tanno, Hirokazu</creatorcontrib><creatorcontrib>Masaoka, Hiroyuki</creatorcontrib><creatorcontrib>Saito, Ryoichi</creatorcontrib><creatorcontrib>Sakai, Keiichi</creatorcontrib><creatorcontrib>Odake, Yasuko</creatorcontrib><creatorcontrib>Shoin, Katsuo</creatorcontrib><creatorcontrib>Fujisawa, Hironori</creatorcontrib><creatorcontrib>Suzaki, Noriyuki</creatorcontrib><creatorcontrib>Sakai, Hideki</creatorcontrib><creatorcontrib>Yamada, Tomonori</creatorcontrib><creatorcontrib>Adachi, Yoshiki</creatorcontrib><creatorcontrib>Manabe, Yasuhiro</creatorcontrib><creatorcontrib>Torii, Tsuyoshi</creatorcontrib><creatorcontrib>Sadatomo, Takashi</creatorcontrib><creatorcontrib>Izumihara, Akifumi</creatorcontrib><creatorcontrib>Yamashita, Katsuhiro</creatorcontrib><creatorcontrib>Okada, Yasushi</creatorcontrib><creatorcontrib>Nakane, Hiroshi</creatorcontrib><creatorcontrib>Miyazono, Masayuki</creatorcontrib><creatorcontrib>Tsutsumi, Keisuke</creatorcontrib><creatorcontrib>Takita, Tomohiro</creatorcontrib><creatorcontrib>Kosaki, Yanosuke</creatorcontrib><creatorcontrib>Nagai, Yasuyuki</creatorcontrib><creatorcontrib>Iihara, Koji</creatorcontrib><creatorcontrib>Izumo, Tsuyoshi</creatorcontrib><creatorcontrib>Sakai, Nobuyuki</creatorcontrib><creatorcontrib>Suyama, Kazuhiko</creatorcontrib><creatorcontrib>Oogami, Hisako</creatorcontrib><creatorcontrib>Fukuda, Miyuki</creatorcontrib><creatorcontrib>Watanabe, Aoi</creatorcontrib><creatorcontrib>Fujiwara, Kazuha</creatorcontrib><creatorcontrib>Nakajo, Natsuko</creatorcontrib><creatorcontrib>Kikuchi, Satomi</creatorcontrib><creatorcontrib>the NHO Carotid CFD Study Group</creatorcontrib><creatorcontrib>NHO Carotid CFD Study Group</creatorcontrib><title>Hemodynamic Risk Factors for the Development of Carotid Stenosis in Patients with Unilateral Carotid Stenosis</title><title>World neurosurgery</title><addtitle>World Neurosurg</addtitle><description>It is difficult to predict the development of carotid stenosis by means of the known risk factors. Using a computational fluid dynamics analysis, we examined the hemodynamic risks for carotid stenosis, focusing on wall shear stress (WSS) disturbances. In 59 patients with unilateral carotid stenosis, the plaque was removed from the original three-dimensional computed tomography angiographic images, and the vessel shape before stenosis was artificially reproduced. A multivariate regression analysis was performed to determine the associations between the degree of area stenosis and hemodynamic and morphologic factors after adjustment for 6 known risk factors. Metrics for WSS disturbances were higher at and distal to a bifurcation in the carotid arteries after plaque removal compared with the normal carotid arteries, and metrics for WSS magnitudes were lower. In the plaque-removed arteries, the degree of stenosis was significantly negatively correlated with the ratio of stenotic to distal values of metrics for WSS disturbances and the diameter ratio of the external to common carotid artery, and positively correlated with the ratio of proximal to stenotic values of metrics for WSS magnitudes. Rapid increases in WSS from the common carotid artery toward the bifurcation, rapid decreases in WSS disturbance from the bifurcation toward the internal carotid artery, and lower diameter ratio of the external to common carotid artery are more likely than other risk factors to cause future severe stenosis. In patients with these hemodynamic risks, underlying diseases should be controlled more strictly, with imaging examinations at shorter intervals.</description><subject>Carotid Arteries</subject><subject>Carotid Artery, Internal - diagnostic imaging</subject><subject>Carotid Artery, Internal - surgery</subject><subject>Carotid bifurcation stenosis</subject><subject>Carotid Stenosis - diagnostic imaging</subject><subject>Carotid Stenosis - surgery</subject><subject>Computational fluid dynamics</subject><subject>Hemodynamics</subject><subject>Humans</subject><subject>Risk factor</subject><subject>Risk Factors</subject><subject>Stress, Mechanical</subject><subject>Three-dimensional computed tomography angiography</subject><subject>Wall shear 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for the Development of Carotid Stenosis in Patients with Unilateral Carotid Stenosis</title><author>Fukuda, Shunichi ; Shimogonya, Yuji ; Yonemoto, Naohiro ; Fukuda, Miyuki ; Watanabe, Aoi ; Fujiwara, Kazuha ; Enomoto, Riku ; Hasegawa, Koji ; Yasoda, Akihiro ; Tsukahara, Tetsuya ; Fukuda, Shunichi ; Shimogonya, Yuji ; Yonemoto, Naohiro ; Ezura, Masayuki ; Ishihara, Masayuki ; Kurihara, Hideyuki ; Furumoto, Hideharu ; Tanno, Hirokazu ; Masaoka, Hiroyuki ; Saito, Ryoichi ; Sakai, Keiichi ; Odake, Yasuko ; Shoin, Katsuo ; Fujisawa, Hironori ; Suzaki, Noriyuki ; Sakai, Hideki ; Yamada, Tomonori ; Adachi, Yoshiki ; Manabe, Yasuhiro ; Torii, Tsuyoshi ; Sadatomo, Takashi ; Izumihara, Akifumi ; Yamashita, Katsuhiro ; Okada, Yasushi ; Nakane, Hiroshi ; Miyazono, Masayuki ; Tsutsumi, Keisuke ; Takita, Tomohiro ; Kosaki, Yanosuke ; Nagai, Yasuyuki ; Iihara, Koji ; Izumo, Tsuyoshi ; Sakai, Nobuyuki ; Suyama, Kazuhiko ; Oogami, Hisako ; Fukuda, Miyuki ; Watanabe, Aoi ; Fujiwara, Kazuha ; Nakajo, 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Yasuko</creatorcontrib><creatorcontrib>Shoin, Katsuo</creatorcontrib><creatorcontrib>Fujisawa, Hironori</creatorcontrib><creatorcontrib>Suzaki, Noriyuki</creatorcontrib><creatorcontrib>Sakai, Hideki</creatorcontrib><creatorcontrib>Yamada, Tomonori</creatorcontrib><creatorcontrib>Adachi, Yoshiki</creatorcontrib><creatorcontrib>Manabe, Yasuhiro</creatorcontrib><creatorcontrib>Torii, Tsuyoshi</creatorcontrib><creatorcontrib>Sadatomo, Takashi</creatorcontrib><creatorcontrib>Izumihara, Akifumi</creatorcontrib><creatorcontrib>Yamashita, Katsuhiro</creatorcontrib><creatorcontrib>Okada, Yasushi</creatorcontrib><creatorcontrib>Nakane, Hiroshi</creatorcontrib><creatorcontrib>Miyazono, Masayuki</creatorcontrib><creatorcontrib>Tsutsumi, Keisuke</creatorcontrib><creatorcontrib>Takita, Tomohiro</creatorcontrib><creatorcontrib>Kosaki, Yanosuke</creatorcontrib><creatorcontrib>Nagai, Yasuyuki</creatorcontrib><creatorcontrib>Iihara, Koji</creatorcontrib><creatorcontrib>Izumo, Tsuyoshi</creatorcontrib><creatorcontrib>Sakai, Nobuyuki</creatorcontrib><creatorcontrib>Suyama, Kazuhiko</creatorcontrib><creatorcontrib>Oogami, Hisako</creatorcontrib><creatorcontrib>Fukuda, Miyuki</creatorcontrib><creatorcontrib>Watanabe, Aoi</creatorcontrib><creatorcontrib>Fujiwara, Kazuha</creatorcontrib><creatorcontrib>Nakajo, Natsuko</creatorcontrib><creatorcontrib>Kikuchi, Satomi</creatorcontrib><creatorcontrib>the NHO Carotid CFD Study Group</creatorcontrib><creatorcontrib>NHO Carotid CFD Study Group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>World neurosurgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fukuda, Shunichi</au><au>Shimogonya, Yuji</au><au>Yonemoto, Naohiro</au><au>Fukuda, Miyuki</au><au>Watanabe, Aoi</au><au>Fujiwara, Kazuha</au><au>Enomoto, Riku</au><au>Hasegawa, Koji</au><au>Yasoda, Akihiro</au><au>Tsukahara, Tetsuya</au><au>Fukuda, Shunichi</au><au>Shimogonya, Yuji</au><au>Yonemoto, Naohiro</au><au>Ezura, Masayuki</au><au>Ishihara, Masayuki</au><au>Kurihara, Hideyuki</au><au>Furumoto, Hideharu</au><au>Tanno, Hirokazu</au><au>Masaoka, Hiroyuki</au><au>Saito, Ryoichi</au><au>Sakai, Keiichi</au><au>Odake, Yasuko</au><au>Shoin, Katsuo</au><au>Fujisawa, Hironori</au><au>Suzaki, Noriyuki</au><au>Sakai, Hideki</au><au>Yamada, Tomonori</au><au>Adachi, Yoshiki</au><au>Manabe, Yasuhiro</au><au>Torii, Tsuyoshi</au><au>Sadatomo, Takashi</au><au>Izumihara, Akifumi</au><au>Yamashita, Katsuhiro</au><au>Okada, Yasushi</au><au>Nakane, Hiroshi</au><au>Miyazono, Masayuki</au><au>Tsutsumi, Keisuke</au><au>Takita, Tomohiro</au><au>Kosaki, Yanosuke</au><au>Nagai, Yasuyuki</au><au>Iihara, Koji</au><au>Izumo, Tsuyoshi</au><au>Sakai, Nobuyuki</au><au>Suyama, Kazuhiko</au><au>Oogami, Hisako</au><au>Fukuda, Miyuki</au><au>Watanabe, Aoi</au><au>Fujiwara, Kazuha</au><au>Nakajo, Natsuko</au><au>Kikuchi, Satomi</au><aucorp>the NHO Carotid CFD Study Group</aucorp><aucorp>NHO Carotid CFD Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hemodynamic Risk Factors for the Development of Carotid Stenosis in Patients with Unilateral Carotid Stenosis</atitle><jtitle>World neurosurgery</jtitle><addtitle>World Neurosurg</addtitle><date>2022-04</date><risdate>2022</risdate><volume>160</volume><spage>e353</spage><epage>e371</epage><pages>e353-e371</pages><issn>1878-8750</issn><eissn>1878-8769</eissn><abstract>It is difficult to predict the development of carotid stenosis by means of the known risk factors. Using a computational fluid dynamics analysis, we examined the hemodynamic risks for carotid stenosis, focusing on wall shear stress (WSS) disturbances. In 59 patients with unilateral carotid stenosis, the plaque was removed from the original three-dimensional computed tomography angiographic images, and the vessel shape before stenosis was artificially reproduced. A multivariate regression analysis was performed to determine the associations between the degree of area stenosis and hemodynamic and morphologic factors after adjustment for 6 known risk factors. Metrics for WSS disturbances were higher at and distal to a bifurcation in the carotid arteries after plaque removal compared with the normal carotid arteries, and metrics for WSS magnitudes were lower. In the plaque-removed arteries, the degree of stenosis was significantly negatively correlated with the ratio of stenotic to distal values of metrics for WSS disturbances and the diameter ratio of the external to common carotid artery, and positively correlated with the ratio of proximal to stenotic values of metrics for WSS magnitudes. Rapid increases in WSS from the common carotid artery toward the bifurcation, rapid decreases in WSS disturbance from the bifurcation toward the internal carotid artery, and lower diameter ratio of the external to common carotid artery are more likely than other risk factors to cause future severe stenosis. In patients with these hemodynamic risks, underlying diseases should be controlled more strictly, with imaging examinations at shorter intervals.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>35026460</pmid><doi>10.1016/j.wneu.2022.01.019</doi><orcidid>https://orcid.org/0000-0001-9210-2175</orcidid><orcidid>https://orcid.org/0000-0001-8876-4889</orcidid><orcidid>https://orcid.org/0000-0002-9122-6253</orcidid><orcidid>https://orcid.org/0000-0002-2849-2700</orcidid></addata></record>
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identifier ISSN: 1878-8750
ispartof World neurosurgery, 2022-04, Vol.160, p.e353-e371
issn 1878-8750
1878-8769
language eng
recordid cdi_proquest_miscellaneous_2620077174
source MEDLINE; Elsevier ScienceDirect Journals
subjects Carotid Arteries
Carotid Artery, Internal - diagnostic imaging
Carotid Artery, Internal - surgery
Carotid bifurcation stenosis
Carotid Stenosis - diagnostic imaging
Carotid Stenosis - surgery
Computational fluid dynamics
Hemodynamics
Humans
Risk factor
Risk Factors
Stress, Mechanical
Three-dimensional computed tomography angiography
Wall shear stress
title Hemodynamic Risk Factors for the Development of Carotid Stenosis in Patients with Unilateral Carotid Stenosis
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