{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T16:12:42Z","timestamp":1791821562294,"version":"4.3.4"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T00:00:00Z","timestamp":1748217600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T00:00:00Z","timestamp":1748217600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Acta Neurochir"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Purpose<\/jats:title>\n            <jats:p>This study aimed to identify the most effective parameters of computed tomography perfusion imaging (CTP) using the Bayesian estimation to predict hyperperfusion phenomenon (HPP) risk after carotid artery stenting (CAS).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>We retrospectively analyzed 46 patients who underwent CAS with preoperative CTP and preoperative and postoperative <jats:sup>123<\/jats:sup>I-labeled N-isopropyl-p-iodoamphetamine (<jats:sup>123<\/jats:sup>I-IMP) single photon emission computed tomography (SPECT) at rest, between April 2019 and March 2024. Patients were categorized into the HPP and non-HPP groups based on the postoperative asymmetry index (AI) of cerebral blood flow (CBF) on <jats:sup>123<\/jats:sup>I-IMP SPECT. Relative ratios of CBF, cerebral blood volume (CBV), mean transit time (MTT), and time-to-peak (TTP) were calculated from preoperative CTP and compared between the two groups. Correlations among each CTP parameter, preoperative AI, and postoperative AI were assessed.<\/jats:p>\n            <jats:p>Receiver operating characteristic (ROC) analysis identified the most accurate CTP parameters for predicting HPP.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>HPP occurred in four patients, with one developing cerebral hemorrhage. Significant differences were observed between the HPP and non-HPP groups in CBV (<jats:italic>p<\/jats:italic>\u2009=\u20090.001), MTT (<jats:italic>p<\/jats:italic>\u2009=\u20090.003), and TTP ratio (<jats:italic>p<\/jats:italic>\u2009=\u20090.011), and preoperative AI (<jats:italic>p<\/jats:italic>\u2009=\u20090.021). Among the CTP parameters and preoperative AI, the CBV ratio showed a positive correlation with the postoperative AI (<jats:italic>r<\/jats:italic>\u2009=\u20090.63, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). The CBV ratio demonstrated the highest area under the curve (AUC) for predicting HPP (AUC\u2009=\u20090.95). However, after Benjamini\u2013Hochberg correction, statistical significance was lost (adjusted <jats:italic>p<\/jats:italic>\u2009=\u20090.07).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>This study evaluated the predictive value of preoperative CTP using the Bayesian estimation method for identifying HPP risk after CAS. CBV ratio may serve as a potential parameter for predicting HPP.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s00701-025-06545-0","type":"journal-article","created":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T07:05:15Z","timestamp":1748243115000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Investigation of the hyperperfusion phenomenon following carotid artery stenting using preoperative computed tomography perfusion imaging"],"prefix":"10.1007","volume":"167","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8159-1484","authenticated-orcid":false,"given":"Hiroyuki","family":"Yamamoto","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daisuke","family":"Maruyama","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masataka","family":"Nanto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naoya","family":"Hashimoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,26]]},"reference":[{"key":"6545_CR1","doi-asserted-by":"publisher","first-page":"e573","DOI":"10.1161\/STROKEAHA.109.556068","volume":"40","author":"AL Abbott","year":"2009","unstructured":"Abbott AL (2009) Medical (nonsurgical) intervention alone is now best for prevention of stroke associated with asymptomatic severe carotid stenosis: results of a systematic review and analysis. Stroke 40:e573\u2013e583. https:\/\/doi.org\/10.1161\/STROKEAHA.109.556068","journal-title":"Stroke"},{"key":"6545_CR2","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1159\/000350736","volume":"35","author":"J Buczek","year":"2013","unstructured":"Buczek J, Karli\u0144ski M, Kobayashi A, Bia\u0142ek P, Cz\u0142onkowska A (2013) Hyperperfusion syndrome after carotid endarterectomy and carotid stenting. Cerebrovascular Dis 35:531\u2013537. https:\/\/doi.org\/10.1159\/000350736","journal-title":"Cerebrovascular Dis"},{"key":"6545_CR3","doi-asserted-by":"publisher","first-page":"e19886","DOI":"10.1371\/journal.pone.0019886","volume":"6","author":"CH Chang","year":"2011","unstructured":"Chang CH, Chang TY, Chang YJ, Huang KL, Chin SC, Ryu SJ, Yang TC, Lee TH (2011) The role of perfusion computed tomography in the prediction of cerebral hyperperfusion syndrome. PLoS One 6:e19886. https:\/\/doi.org\/10.1371\/journal.pone.0019886","journal-title":"PLoS One"},{"key":"6545_CR4","doi-asserted-by":"publisher","first-page":"1974","DOI":"10.1001\/jama.2022.4835","volume":"327","author":"RW Chang","year":"2022","unstructured":"Chang RW, Tucker LY, Rothenberg KA, Lancaster E, Faruqi RM, Kuang HC, Flint AC, Avins AL, Nguyen-Huynh MN (2022) Incidence of ischemic stroke in patients with asymptomatic severe carotid stenosis without surgical intervention. JAMA 327:1974\u20131982. https:\/\/doi.org\/10.1001\/jama.2022.4835","journal-title":"JAMA"},{"key":"6545_CR5","first-page":"1876","volume":"27","author":"A Chen","year":"2006","unstructured":"Chen A, Shyr MH, Chen TY, Lai HY, Lin CC, Yen PS (2006) Dynamic CT perfusion imaging with acetazolamide challenge for evaluation of patients with unilateral cerebrovascular steno-occlusive disease. Am J Neuroradiol 27:1876\u20131881","journal-title":"Am J Neuroradiol"},{"key":"6545_CR6","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1093\/brain\/awf047","volume":"125","author":"CP Derdeyn","year":"2002","unstructured":"Derdeyn CP, Videen TO, Yundt KD, Fritsch SM, Carpenter DA, Grubb RL, Powers WJ (2002) Variability of cerebral blood volume and oxygen extraction: stages of cerebral haemodynamic impairment revisited. Brain 125:595\u2013607. https:\/\/doi.org\/10.1093\/brain\/awf047","journal-title":"Brain"},{"key":"6545_CR7","doi-asserted-by":"publisher","first-page":"105797","DOI":"10.1016\/j.jstrokecerebrovasdis.2021.105797","volume":"30","author":"S Hirai","year":"2021","unstructured":"Hirai S, Tanaka Y, Sato H, Kato K, Kim Y, Yamamura T, Sumita K, Arai T (2021) Quantitative collateral assessment evaluated by cerebral blood volume measured by CT perfusion in patients with acute ischemic stroke. J Stroke Cerebrovasc Dis 30:105797. https:\/\/doi.org\/10.1016\/j.jstrokecerebrovasdis.2021.105797","journal-title":"J Stroke Cerebrovasc Dis"},{"key":"6545_CR8","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1161\/01.STR.0000068781.31429.BE","volume":"34","author":"K Hosoda","year":"2003","unstructured":"Hosoda K, Kawaguchi T, Ishii K, Minoshima S, Shibata Y, Iwakura M, Ishiguro S, Kohmura E (2003) Prediction of hyperperfusion after carotid endarterectomy by brain SPECT analysis with semiquantitative statistical mapping method. Stroke 34:1187\u20131193. https:\/\/doi.org\/10.1161\/01.STR.0000068781.31429.BE","journal-title":"Stroke"},{"key":"6545_CR9","doi-asserted-by":"publisher","first-page":"473","DOI":"10.3171\/2013.10.JNS13103","volume":"120","author":"AP Huang","year":"2014","unstructured":"Huang AP, Tsai JC, Kuo LT, Lee CW, Lai HS, Tsai LK, Huang SJ, Chen CM, Chen YS, Chuang HY, Wintermark M (2014) Clinical application of perfusion computed tomography in neurosurgery. J Neurosurg 120:473\u2013488. https:\/\/doi.org\/10.3171\/2013.10.JNS13103","journal-title":"J Neurosurg"},{"key":"6545_CR10","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1007\/s11547-020-01316-6","volume":"126","author":"S Ichikawa","year":"2021","unstructured":"Ichikawa S, Yamamoto H, Morita T (2021) Comparison of a Bayesian estimation algorithm and singular value decomposition algorithms for 80-detector row CT perfusion in patients with acute ischemic stroke. Radiol Med 126:795\u2013803. https:\/\/doi.org\/10.1007\/s11547-020-01316-6","journal-title":"Radiol Med"},{"key":"6545_CR11","doi-asserted-by":"publisher","first-page":"123114","DOI":"10.1016\/j.jns.2024.123114","volume":"463","author":"Y Ikeuchi","year":"2024","unstructured":"Ikeuchi Y, Kohta M, Yamashita S, Yamanishi S, Yamaguchi Y, Tanaka J, Tanaka K, Kimura H, Fujita A, Hosoda K, Kohmura E, Sasayama T (2024) Predicting impaired cerebrovascular reactivity and risk of hyperperfusion syndrome in carotid artery stenosis using BeamSAT magnetic resonance imaging. J Neurol Sci 463:123114. https:\/\/doi.org\/10.1016\/j.jns.2024.123114","journal-title":"J Neurol Sci"},{"key":"6545_CR12","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/s0720-048x(99)00009-1","volume":"30","author":"E Klotz","year":"1999","unstructured":"Klotz E, K\u00f6nig M (1999) Perfusion measurements of the brain: using dynamic CT for the quantitative assessment of cerebral ischemia in acute stroke. Eur J Radiol 30:170\u2013184. https:\/\/doi.org\/10.1016\/s0720-048x(99)00009-1","journal-title":"Eur J Radiol"},{"key":"6545_CR13","doi-asserted-by":"publisher","first-page":"45","DOI":"10.2463\/mrms.2013-0085","volume":"13","author":"K Kudo","year":"2014","unstructured":"Kudo K, Boutelier T, Pautot F, Honjo K, Hu JQ, Wang HB, Shintaku K, Uwano I, Sasaki M (2014) Bayesian analysis of perfusion-weighted imaging to predict infarct volume: comparison with singular value decomposition. Magn Reson Med Sci 13:45\u201350. https:\/\/doi.org\/10.2463\/mrms.2013-0085","journal-title":"Magn Reson Med Sci"},{"key":"6545_CR14","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1148\/radiol.12112618","volume":"267","author":"K Kudo","year":"2013","unstructured":"Kudo K, Christensen S, Sasaki M, \u00d8stergaard L, Shirato H, Ogasawara K, Wintermark M, Warach S, Stroke Imaging Repository (STIR) Investigators (2013) Accuracy and reliability assessment of CT and MR perfusion analysis software using a digital phantom. Radiology 267:201\u2013211. https:\/\/doi.org\/10.1148\/radiol.12112618","journal-title":"Radiology"},{"key":"6545_CR15","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1097\/RLU.0b013e31823ea69f","volume":"37","author":"H Kuroda","year":"2012","unstructured":"Kuroda H, Ogasawara K, Suzuki T, Chida K, Aso K, Kobayashi M, Yoshida K, Terasaki K, Fujiwara S, Kubo Y, Ogawa A (2012) Accuracy of central benzodiazepine receptor binding potential\/cerebral blood flow SPECT imaging for detecting misery perfusion in patients with unilateral major cerebral artery occlusive diseases: comparison with cerebrovascular reactivity to acetazolamide and cerebral blood flow SPECT imaging. Clin Nucl Med 37:235\u2013240. https:\/\/doi.org\/10.1097\/RLU.0b013e31823ea69f","journal-title":"Clin Nucl Med"},{"key":"6545_CR16","doi-asserted-by":"publisher","first-page":"1512","DOI":"10.1212\/WNL.0b013e3181a2e846","volume":"72","author":"S Matsumoto","year":"2009","unstructured":"Matsumoto S, Nakahara I, Higashi T, Iwamuro Y, Watanabe Y, Takahashi K, Ando M, Takezawa M, Kira JI (2009) Near-infrared spectroscopy in carotid artery stenting predicts cerebral hyperperfusion syndrome. Neurology 72:1512\u20131518. https:\/\/doi.org\/10.1212\/WNL.0b013e3181a2e846","journal-title":"Neurology"},{"key":"6545_CR17","doi-asserted-by":"publisher","first-page":"1573","DOI":"10.1007\/s00259-013-2463-2","volume":"40","author":"Y Matsumoto","year":"2013","unstructured":"Matsumoto Y, Ogasawara K, Saito H, Terasaki K, Takahashi Y, Ogasawara Y, Kobayashi M, Yoshida K, Beppu T, Kubo Y, Fujiwara S, Tsushima E, Ogawa A (2013) Detection of misery perfusion in the cerebral hemisphere with chronic unilateral major cerebral artery steno-occlusive disease using crossed cerebellar hypoperfusion: comparison of brain SPECT and PET imaging. Eur J Nucl Med Mol Imaging 40:1573\u20131581. https:\/\/doi.org\/10.1007\/s00259-013-2463-2","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"6545_CR18","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1016\/S1474-4422(05)70251-9","volume":"4","author":"WN Van Mook","year":"2005","unstructured":"Van Mook WN, Rennenberg RJ, Schurink GW, van Oostenbrugge RJ, Mess WH, Hofman PA, de Leeuw PW (2005) Cerebral hyperperfusion syndrome. Lancet Neurol 4:877\u2013888. https:\/\/doi.org\/10.1016\/S1474-4422(05)70251-9","journal-title":"Lancet Neurol"},{"key":"6545_CR19","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1212\/WNL.0000000000001781","volume":"85","author":"AB Munster","year":"2015","unstructured":"Munster AB, Franchini AJ, Qureshi MI, Thapar A, Davies AH (2015) Temporal trends in safety of carotid endarterectomy in asymptomatic patients: systematic review. Neurology 85:365\u2013372. https:\/\/doi.org\/10.1212\/WNL.0000000000001781","journal-title":"Neurology"},{"key":"6545_CR20","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s12975-021-00911-7","volume":"13","author":"I Nakagawa","year":"2022","unstructured":"Nakagawa I, Park H, Kotsugi M, Myouchin K, Takeshima Y, Matsuda R, Yamada S, Park YS, Nakase H (2022) Hypocapnia induced by hyperventilation with indocyanine green kinetics detects the effect of staged carotid angioplasty to avoid hyperperfusion in patients with impaired cerebral hemodynamic reserve. Transl Stroke Res 13:77\u201387. https:\/\/doi.org\/10.1007\/s12975-021-00911-7","journal-title":"Transl Stroke Res"},{"key":"6545_CR21","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1177\/0271678X17743878","volume":"39","author":"I Nakagawa","year":"2019","unstructured":"Nakagawa I, Yokoyama S, Wajima D, Nishimura F, Yamada S, Yokota H, Motoyama Y, Park YS, Wada T, Kichikawa K, Nakase H (2019) Hyperventilation and breath-holding test with indocyanine green kinetics predicts cerebral hyperperfusion after carotid artery stenting. J Cereb Blood Flow Metab 39:901\u2013912. https:\/\/doi.org\/10.1177\/0271678X17743878","journal-title":"J Cereb Blood Flow Metab"},{"key":"6545_CR22","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.1007\/s00234-021-02822-8","volume":"64","author":"T Nishimoto","year":"2022","unstructured":"Nishimoto T, Oka F, Okazaki K, Ishihara H (2022) Relationship between cerebral hyperperfusion syndrome and the immediate change of cerebral blood flow after carotid artery stenting evaluated by single-photon emission computed tomography. Neuroradiology 64:1157\u20131164. https:\/\/doi.org\/10.1007\/s00234-021-02822-8","journal-title":"Neuroradiology"},{"key":"6545_CR23","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1056\/NEJM199108153250701","volume":"325","author":"HJM Barnett","year":"1991","unstructured":"North American Symptomatic Carotid Endarterectomy Trial Collaborators, Barnett HJM, Taylor DW, Haynes RB, Sackett DL, Peerless SJ, Ferguson GG, Fox AJ, Rankin RN, Hachinski VC, Wiebers DO, Eliasziw M (1991) Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. N Engl J Med 325:445\u2013453. https:\/\/doi.org\/10.1056\/NEJM199108153250701","journal-title":"N Engl J Med"},{"key":"6545_CR24","doi-asserted-by":"publisher","first-page":"1130","DOI":"10.3171\/JNS-07\/12\/1130","volume":"107","author":"K Ogasawara","year":"2007","unstructured":"Ogasawara K, Sakai N, Kuroiwa T, Hosoda K, Iihara K, Toyoda K, Sakai C, Nagata I, Ogawa A, Japanese Society for Treatment at Neck in Cerebrovascular Disease Study Group (2007) Intracranial hemorrhage associated with cerebral hyperperfusion syndrome following carotid endarterectomy and carotid artery stenting: retrospective review of 4494 patients. J Neurosurg 107:1130\u20131136. https:\/\/doi.org\/10.3171\/JNS-07\/12\/1130","journal-title":"J Neurosurg"},{"key":"6545_CR25","doi-asserted-by":"publisher","first-page":"38","DOI":"10.3171\/jns.2005.102.1.0038","volume":"102","author":"K Ogasawara","year":"2005","unstructured":"Ogasawara K, Yamadate K, Kobayashi M, Endo H, Fukuda T, Yoshida K, Terasaki K, Inoue T, Ogawa A (2005) Postoperative cerebral hyperperfusion associated with impaired cognitive function in patients undergoing carotid endarterectomy. J Neurosurg 102:38\u201344. https:\/\/doi.org\/10.3171\/jns.2005.102.1.0038","journal-title":"J Neurosurg"},{"key":"6545_CR26","doi-asserted-by":"publisher","first-page":"2345","DOI":"10.1161\/STROKEAHA.118.021952","volume":"49","author":"Y Sakai","year":"2018","unstructured":"Sakai Y, Delman BN, Fifi JT, Tuhrim S, Wheelwright D, Doshi AH, Mocco J, Nael K (2018) Estimation of ischemic core volume using computed tomographic perfusion. Stroke 49:2345\u20132352. https:\/\/doi.org\/10.1161\/STROKEAHA.118.021952","journal-title":"Stroke"},{"key":"6545_CR27","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1016\/j.acra.2004.07.002","volume":"11","author":"PC Sanelli","year":"2004","unstructured":"Sanelli PC, Lev MH, Eastwood JD, Gonzalez RG, Lee TY (2004) The effect of varying user-selected input parameters on quantitative values in CT perfusion maps. Acad Radiol 11:1085\u20131092. https:\/\/doi.org\/10.1016\/j.acra.2004.07.002","journal-title":"Acad Radiol"},{"key":"6545_CR28","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/s12149-018-1283-7","volume":"32","author":"K Setta","year":"2018","unstructured":"Setta K, Kojima D, Shimada Y, Yoshida J, Oshida S, Fujimoto K, Tsutsui S, Chiba T, Fujiwara S, Terasaki K, Ogasawara K (2018) Accuracy of brain perfusion single-photon emission computed tomography for detecting misery perfusion in adult patients with symptomatic ischemic moyamoya disease. Ann Nucl Med 32:611\u2013619. https:\/\/doi.org\/10.1007\/s12149-018-1283-7","journal-title":"Ann Nucl Med"},{"key":"6545_CR29","doi-asserted-by":"publisher","first-page":"439","DOI":"10.21037\/qims-21-338","volume":"12","author":"T Sun","year":"2022","unstructured":"Sun T, Fulton R, Hu Z, Sutiono C, Liang D, Zheng H (2022) Inferring CT perfusion parameters and uncertainties using a Bayesian approach. Quant Imaging Med Surg 12:439\u2013456. https:\/\/doi.org\/10.21037\/qims-21-338","journal-title":"Quant Imaging Med Surg"},{"key":"6545_CR30","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1016\/j.jstrokecerebrovasdis.2014.12.010","volume":"24","author":"S Takahashi","year":"2015","unstructured":"Takahashi S, Tanizaki Y, Kimura H, Akaji K, Kano T, Suzuki K, Takayama Y, Kanzawa T, Shidoh S, Nakazawa M, Yoshida K, Mihara B (2015) Prediction of cerebrovascular reserve capacity by computed tomography perfusion using 320-row computed tomography. J Stroke Cerebrovasc Dis 24:939\u2013945. https:\/\/doi.org\/10.1016\/j.jstrokecerebrovasdis.2014.12.010","journal-title":"J Stroke Cerebrovasc Dis"},{"key":"6545_CR31","doi-asserted-by":"publisher","first-page":"1679","DOI":"10.1016\/j.jvs.2010.11.122","volume":"53","author":"CH Timaran","year":"2011","unstructured":"Timaran CH, McKinsey JF, Schneider PA, Littooy F (2011) Reporting standards for carotid interventions from the society for vascular surgery. J Vasc Surg 53:1679\u20131695. https:\/\/doi.org\/10.1016\/j.jvs.2010.11.122","journal-title":"J Vasc Surg"},{"key":"6545_CR32","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1097\/RCT.0b013e318188ad99","volume":"33","author":"YC Tseng","year":"2009","unstructured":"Tseng YC, Hsu HL, Lee TH, Hsieh IC, Chen CJ (2009) Prediction of cerebral hyperperfusion syndrome after carotid stenting: a cerebral perfusion computed tomography study. J Comput Assist Tomogr 33:540\u2013545. https:\/\/doi.org\/10.1097\/RCT.0b013e318188ad99","journal-title":"J Comput Assist Tomogr"},{"key":"6545_CR33","doi-asserted-by":"publisher","first-page":"1148","DOI":"10.1016\/j.jcin.2024.03.014","volume":"17","author":"K Uchida","year":"2024","unstructured":"Uchida K, Sakakibara F, Sakai N, Iihara K, Imamura H, Ishii A, Matsumaru Y, Sakai C, Satow T, Yamada K, Shirakawa M, Yoshimura S, JR-NET4 Study Group (2024) Real-World Outcomes of Carotid Artery Stenting in Symptomatic and Asymptomatic Patients With Carotid Artery Stenosis. JACC Cardiovasc Interv 17:1148\u20131159. https:\/\/doi.org\/10.1016\/j.jcin.2024.03.014","journal-title":"JACC Cardiovasc Interv"},{"key":"6545_CR34","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.jacc.2022.05.007","volume":"80","author":"CJ White","year":"2022","unstructured":"White CJ, Brott TG, Gray WA, Heck D, Jovin T, Lyden SP, Metzger DC, Rosenfield K, Roubin G, Sachar R, Siddiqui A (2022) Carotid artery stenting: JACC state-of-the-art review. J Am Coll Cardiol 80:155\u2013170. https:\/\/doi.org\/10.1016\/j.jacc.2022.05.007","journal-title":"J Am Coll Cardiol"},{"key":"6545_CR35","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/s00234-015-1623-4","volume":"58","author":"T Yoshie","year":"2016","unstructured":"Yoshie T, Ueda T, Takada T, Nogoshi S, Fukano T, Hasegawa Y (2016) Prediction of cerebral hyperperfusion syndrome after carotid artery stenting by CT perfusion imaging with acetazolamide challenge. Neuroradiology 58:253\u2013259. https:\/\/doi.org\/10.1007\/s00234-015-1623-4","journal-title":"Neuroradiology"}],"container-title":["Acta Neurochirurgica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00701-025-06545-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00701-025-06545-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00701-025-06545-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T07:05:15Z","timestamp":1748243115000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00701-025-06545-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,26]]},"references-count":35,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["6545"],"URL":"https:\/\/doi.org\/10.1007\/s00701-025-06545-0","relation":{},"ISSN":["0942-0940"],"issn-type":[{"value":"0942-0940","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,26]]},"assertion":[{"value":"19 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 May 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All procedures involving human participants performed in this study were in accordance with the ethical standards of the institutional committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. This study was approved by the Ethics Committee of Kyoto Prefectural University of Medicine Hospital (Approval No: ERB-C- 2730). In conducting this research, we strictly adhered to the Personal Information Protection Law regarding the handling of personal information of the participants based on the Declarations of Helsinki.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent for participation was obtained through an opt-out process due to the anonymity of data, as approved by the ethics committee.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"The authors declare their consent for publication.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publish"}},{"value":"The authors declare no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"155"}}