{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:12:08Z","timestamp":1764785528315,"version":"3.41.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100017681","name":"Construction of Plateau Discipline of Fujian Province","doi-asserted-by":"publisher","award":["(2023-08)"],"award-info":[{"award-number":["(2023-08)"]}],"id":[{"id":"10.13039\/501100017681","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Clin Neuroradiol"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s00062-024-01464-6","type":"journal-article","created":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T14:15:23Z","timestamp":1733235323000},"page":"255-268","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["AI-Based Automated Quantification of Arterial Stenosis in Head and Neck CT Angiography: A\u00a0Comparison with Manual Measurements from Digital Subtraction Angiography and CT Angiography"],"prefix":"10.1007","volume":"35","author":[{"given":"Xinyue","family":"Huan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengwen","family":"Niu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongwei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bitong","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dajing","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2360-0397","authenticated-orcid":false,"given":"Kunhua","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,3]]},"reference":[{"issue":"9","key":"1464_CR1","doi-asserted-by":"publisher","first-page":"6080","DOI":"10.1007\/s00330-022-08757-9","volume":"32","author":"J Li","year":"2022","unstructured":"Li\u00a0J, Wu\u00a0H, Hang\u00a0H, et\u00a0al. Carotid vulnerable plaque coexisting with cerebral small vessel disease and acute ischemic stroke: a\u00a0Chinese Atherosclerosis Risk Evaluation study. Eur Radiol. 2022;32(9):6080\u20139.","journal-title":"Eur Radiol"},{"issue":"4","key":"1464_CR2","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/S1474-4422(21)00376-8","volume":"21","author":"J Gutierrez","year":"2022","unstructured":"Gutierrez\u00a0J, Turan\u00a0TN, Hoh\u00a0BL, Chimowitz\u00a0MI. Intracranial atherosclerotic stenosis: risk factors, diagnosis, and treatment. Lancet Neurol. 2022;21(4):355\u201368.","journal-title":"Lancet Neurol"},{"issue":"3","key":"1464_CR3","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S1474-4422(21)00359-8","volume":"21","author":"L Bonati","year":"2022","unstructured":"Bonati\u00a0L, Jansen\u00a0O, de Borst\u00a0G, Brown\u00a0M. Management of atherosclerotic extracranial carotid artery stenosis. Lancet Neurol. 2022;21(3):273\u201383.","journal-title":"Lancet Neurol"},{"issue":"1","key":"1464_CR4","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1161\/HYPERTENSIONAHA.121.18128","volume":"79","author":"V Nardi","year":"2022","unstructured":"Nardi\u00a0V, Benson\u00a0J, Bois\u00a0MC, et\u00a0al. Carotid Plaques From Symptomatic Patients With Mild Stenosis Is Associated With Intraplaque Hemorrhage. Hypertension. 2022;79(1):271\u201382.","journal-title":"Hypertension"},{"issue":"7855","key":"1464_CR5","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1038\/s41586-021-03392-8","volume":"592","author":"P Libby","year":"2021","unstructured":"Libby\u00a0P. The changing landscape of atherosclerosis. Nature. 2021;592(7855):524\u201333.","journal-title":"Nature"},{"issue":"2","key":"1464_CR6","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1148\/radiology.186.2.8421726","volume":"186","author":"A Fox","year":"1993","unstructured":"Fox\u00a0A. How to measure carotid stenosis. Radiology. 1993;186(2):316\u20138.","journal-title":"Radiology"},{"issue":"3","key":"1464_CR7","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/S1474-4422(20)30484-1","volume":"20","author":"DPJ Howard","year":"2021","unstructured":"Howard\u00a0DPJ, Gaziano\u00a0L, Rothwell\u00a0PM. Risk of stroke in relation to degree of asymptomatic carotid stenosis: a\u00a0population-based cohort study, systematic review, and meta-analysis. Lancet Neurol. 2021;20(3):193\u2013202.","journal-title":"Lancet Neurol"},{"issue":"1","key":"1464_CR8","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1186\/s12938-019-0685-7","volume":"18","author":"A Saxena","year":"2019","unstructured":"Saxena\u00a0A, Ng\u00a0EYK, Lim\u00a0ST. Imaging modalities to diagnose carotid artery stenosis: progress and prospect. BioMed Eng OnLine. 2019;18(1):66.","journal-title":"BioMed Eng OnLine"},{"issue":"9","key":"1464_CR9","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s11910-019-0978-z","volume":"19","author":"R Wannamaker","year":"2019","unstructured":"Wannamaker\u00a0R, Buck\u00a0B, Butcher\u00a0K. Multimodal CT in Acute Stroke. Curr Neurol Neurosci Rep. 2019;19(9):63.","journal-title":"Curr Neurol Neurosci Rep"},{"issue":"2","key":"1464_CR10","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/j.jcmg.2021.10.020","volume":"16","author":"WF Griffin","year":"2023","unstructured":"Griffin\u00a0WF, Choi\u00a0AD, Riess\u00a0JS, et\u00a0al. AI Evaluation of Stenosis on Coronary CTA, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve: A\u00a0CREDENCE Trial Substudy. JACC Cardiovasc Imaging. 2023;16(2):193\u2013205.","journal-title":"JACC Cardiovasc Imaging"},{"key":"1464_CR11","doi-asserted-by":"crossref","unstructured":"Fu F, Shan Y, Yang G, et\u00a0al. Deep Learning for Head and Neck CT Angiography: Stenosis and Plaque Classification. Radiology. 2023;220996.","DOI":"10.1148\/radiol.220996"},{"issue":"7","key":"1464_CR12","doi-asserted-by":"publisher","first-page":"2393","DOI":"10.1161\/STROKEAHA.121.036204","volume":"53","author":"JM Wardlaw","year":"2022","unstructured":"Wardlaw\u00a0JM, Mair\u00a0G, von Kummer\u00a0R, et\u00a0al. Accuracy of Automated Computer-Aided Diagnosis for Stroke Imaging: A\u00a0Critical Evaluation of Current Evidence. Stroke. 2022;53(7):2393\u2013403.","journal-title":"Stroke"},{"issue":"7","key":"1464_CR13","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1177\/17474930211046758","volume":"17","author":"A Salerno","year":"2022","unstructured":"Salerno\u00a0A, Strambo\u00a0D, Nannoni\u00a0S, Dunet\u00a0V, Michel\u00a0P. Patterns of ischemic posterior circulation strokes: A\u00a0clinical, anatomical, and radiological review. Int J Stroke. 2022;17(7):714\u201322.","journal-title":"Int J Stroke"},{"issue":"2","key":"1464_CR14","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1007\/s00330-022-09071-0","volume":"33","author":"P Wiklund","year":"2023","unstructured":"Wiklund\u00a0P, Medson\u00a0K, Elf\u00a0J. Incidental pulmonary embolism in patients with cancer: prevalence, underdiagnosis and evaluation of an AI algorithm for automatic detection of pulmonary embolism. Eur Radiol. 2023;33(2):1185\u201393.","journal-title":"Eur Radiol"},{"issue":"1","key":"1464_CR15","doi-asserted-by":"publisher","first-page":"4829","DOI":"10.1038\/s41467-020-18606-2","volume":"11","author":"F Fu","year":"2020","unstructured":"Fu\u00a0F, Wei\u00a0J, Zhang\u00a0M, et\u00a0al. Rapid vessel segmentation and reconstruction of head and neck angiograms using 3D convolutional neural network. Nat Commun. 2020;11(1):4829.","journal-title":"Nat Commun"},{"issue":"9","key":"1464_CR16","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1007\/s11547-023-01683-w","volume":"128","author":"Y Yang","year":"2023","unstructured":"Yang\u00a0Y, Huan\u00a0X, Guo\u00a0D, Wang\u00a0X, Niu\u00a0S, Li\u00a0K. Performance of deep learning-based autodetection of arterial stenosis on head and neck CT angiography: an independent external validation study. Radiol Med. 2023;128(9):1103\u201315.","journal-title":"Radiol Med"},{"issue":"6","key":"1464_CR17","doi-asserted-by":"publisher","first-page":"943","DOI":"10.1002\/ana.26495","volume":"92","author":"G Mair","year":"2022","unstructured":"Mair\u00a0G, White\u00a0P, Bath\u00a0P, et\u00a0al. External Validation of e\u2011ASPECTS Software for Interpreting Brain CT in Stroke. Ann Neurol. 2022;92(6):943\u201357.","journal-title":"Ann Neurol"},{"issue":"1","key":"1464_CR18","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1161\/STROKEAHA.120.032527","volume":"53","author":"MHF Poorthuis","year":"2022","unstructured":"Poorthuis\u00a0MHF, Herings\u00a0RAR, Dansey\u00a0K, et\u00a0al. External Validation of Risk Prediction Models to Improve Selection of Patients for Carotid Endarterectomy. Stroke. 2022;53(1):87\u201399.","journal-title":"Stroke"},{"issue":"4","key":"1464_CR19","doi-asserted-by":"publisher","first-page":"747","DOI":"10.3174\/ajnr.A2838","volume":"33","author":"HA Marquering","year":"2012","unstructured":"Marquering\u00a0HA, Nederkoorn\u00a0PJ, Smagge\u00a0L, Gratama van Andel\u00a0HA, van den Berg\u00a0R, Majoie\u00a0CB. Performance of Semiautomatic Assessment of Carotid Artery Stenosis on CT Angiography: Clarification of Differences with Manual Assessment. AJNR Am J Neuroradiol. 2012;33(4):747\u201354.","journal-title":"AJNR Am J Neuroradiol"},{"key":"1464_CR20","doi-asserted-by":"crossref","unstructured":"Schumacher HC, Meyers PM, Higashida RT, et\u00a0al. Reporting Standards for Angioplasty and Stent-Assisted Angioplasty for Intracranial Atherosclerosis. Stroke. 2009;40(5).","DOI":"10.1161\/STROKEAHA.108.527580"},{"key":"1464_CR21","doi-asserted-by":"publisher","first-page":"740237","DOI":"10.3389\/fcvm.2021.740237","volume":"8","author":"T Siepmann","year":"2021","unstructured":"Siepmann\u00a0T, Barlinn\u00a0K, Floegel\u00a0T, et\u00a0al. CT Angiography Manual Multiplanar Vessel Diameter Measurement vs. Semiautomated Perpendicular Area Minimal Caliber Computation of Internal Carotid Artery Stenosis. Front Cardiovasc Med. 2021;8:740237.","journal-title":"Front Cardiovasc Med"},{"issue":"4","key":"1464_CR22","doi-asserted-by":"publisher","first-page":"1184","DOI":"10.1161\/STROKEAHA.107.502906","volume":"39","author":"MN Nguyen-Huynh","year":"2008","unstructured":"Nguyen-Huynh\u00a0MN, Wintermark\u00a0M, English\u00a0J, et\u00a0al. How accurate is CT angiography in evaluating intracranial atherosclerotic disease? Stroke. 2008;39(4):1184\u20138.","journal-title":"Stroke"},{"issue":"10","key":"1464_CR23","doi-asserted-by":"publisher","first-page":"1978","DOI":"10.3174\/ajnr.A4400","volume":"36","author":"J Borst","year":"2015","unstructured":"Borst\u00a0J, Marquering\u00a0HA, Kappelhof\u00a0M, et\u00a0al. Diagnostic Accuracy of 4 Commercially Available Semiautomatic Packages for Carotid Artery Stenosis Measurement on CTA. AJNR Am J Neuroradiol. 2015;36(10):1978\u201387.","journal-title":"AJNR Am J Neuroradiol"},{"issue":"2","key":"1464_CR24","first-page":"CD000515","volume":"2","author":"MD Muller","year":"2020","unstructured":"Muller\u00a0MD, Lyrer\u00a0P, Brown\u00a0MM, Bonati\u00a0LH. Carotid artery stenting versus endarterectomy for treatment of carotid artery stenosis. Cochrane Database Syst Rev. 2020;2(2):CD515.","journal-title":"Cochrane Database Syst Rev"},{"issue":"21","key":"1464_CR25","doi-asserted-by":"publisher","first-page":"1724","DOI":"10.1016\/j.jacc.2008.07.031","volume":"52","author":"MJ Budoff","year":"2008","unstructured":"Budoff\u00a0MJ, Dowe\u00a0D, Jollis\u00a0JG, et\u00a0al. Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. J\u00a0Am Coll Cardiol. 2008;52(21):1724\u201332.","journal-title":"J Am Coll Cardiol"},{"key":"1464_CR26","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.clinimag.2022.01.016","volume":"84","author":"RA Jonas","year":"2022","unstructured":"Jonas\u00a0RA, Barkovich\u00a0E, Choi\u00a0AD, et\u00a0al. The effect of scan and patient parameters on the diagnostic performance of AI for detecting coronary stenosis on coronary CT angiography. Clin Imaging. 2022;84:149\u201358.","journal-title":"Clin Imaging"},{"issue":"10","key":"1464_CR27","doi-asserted-by":"publisher","first-page":"1715","DOI":"10.1016\/j.jcmg.2022.04.003","volume":"15","author":"DHK van Dam-Nolen","year":"2022","unstructured":"van Dam-Nolen\u00a0DHK, Truijman\u00a0MTB, van der Kolk\u00a0AG, et\u00a0al. Carotid Plaque Characteristics Predict Recurrent Ischemic Stroke and TIA: The PARISK (Plaque At RISK) Study. JACC Cardiovasc Imaging. 2022;15(10):1715\u201326.","journal-title":"JACC Cardiovasc Imaging"},{"issue":"8","key":"1464_CR28","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1136\/neurintsurg-2019-015660","volume":"12","author":"X Xu","year":"2020","unstructured":"Xu\u00a0X, Li\u00a0M, Liu\u00a0R, et\u00a0al. Optical coherence tomography evaluation of vertebrobasilar artery stenosis: case series and literature review. J\u00a0NeuroIntervent Surg. 2020;12(8):809\u201313.","journal-title":"J NeuroIntervent Surg"},{"issue":"11","key":"1464_CR29","doi-asserted-by":"publisher","first-page":"1002","DOI":"10.1136\/neurintsurg-2020-016835","volume":"13","author":"Y Feng","year":"2021","unstructured":"Feng\u00a0Y, Wu\u00a0T, Wang\u00a0T, et\u00a0al. Correlation between intracranial vertebral artery stenosis diameter measured by digital subtraction angiography and cross-sectional area measured by optical coherence tomography. J\u00a0Neurointerv Surg. 2021;13(11):1002\u20136.","journal-title":"J Neurointerv Surg"},{"issue":"8","key":"1464_CR30","doi-asserted-by":"publisher","first-page":"794","DOI":"10.1136\/neurintsurg-2021-017842","volume":"14","author":"SPR Luijten","year":"2022","unstructured":"Luijten\u00a0SPR, Wolff\u00a0L, Duvekot\u00a0MHC, et\u00a0al. Diagnostic performance of an algorithm for automated large vessel occlusion detection on CT angiography. J\u00a0Neurointerv Surg. 2022;14(8):794\u20138.","journal-title":"J Neurointerv Surg"},{"issue":"3","key":"1464_CR31","doi-asserted-by":"publisher","first-page":"407","DOI":"10.2214\/AJR.21.27289","volume":"219","author":"I Lipkin","year":"2022","unstructured":"Lipkin\u00a0I, Telluri\u00a0A, Kim\u00a0Y, et\u00a0al. Coronary CTA With AI-QCT Interpretation: Comparison With Myocardial Perfusion Imaging for Detection of Obstructive Stenosis Using Invasive Angiography as Reference Standard. AJR Am J Roentgenol. 2022;219(3):407\u201319.","journal-title":"AJR Am J Roentgenol"},{"issue":"2","key":"1464_CR32","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1148\/radiol.2017170127","volume":"286","author":"M Sheahan","year":"2018","unstructured":"Sheahan\u00a0M, Ma\u00a0X, Paik\u00a0D, et\u00a0al. Atherosclerotic Plaque Tissue: Noninvasive Quantitative Assessment of Characteristics with Software-aided Measurements from Conventional CT Angiography. Radiology. 2018;286(2):622\u201331.","journal-title":"Radiology"},{"issue":"3","key":"1464_CR33","first-page":"439","volume":"28","author":"C Choi","year":"2007","unstructured":"Choi\u00a0C, Lee\u00a0D, Lee\u00a0J, et\u00a0al. Detection of intracranial atherosclerotic steno-occlusive disease with 3D time-of-flight magnetic resonance angiography with sensitivity encoding at 3T. Ajnr Am J Neuroradiol. 2007;28(3):439\u201346.","journal-title":"Ajnr Am J Neuroradiol"}],"container-title":["Clinical Neuroradiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00062-024-01464-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00062-024-01464-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00062-024-01464-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T07:19:07Z","timestamp":1750144747000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00062-024-01464-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":33,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["1464"],"URL":"https:\/\/doi.org\/10.1007\/s00062-024-01464-6","relation":{},"ISSN":["1869-1439","1869-1447"],"issn-type":[{"type":"print","value":"1869-1439"},{"type":"electronic","value":"1869-1447"}],"subject":[],"published":{"date-parts":[[2024,12,3]]},"assertion":[{"value":"6 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"X.\u00a0Huan, Y.\u00a0Yang, S.\u00a0Niu, Y.\u00a0Yang, B.\u00a0Tian, D.\u00a0Guo and K.\u00a0Li declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Ethical approval was waived by the local Ethics Committee of the Second Affiliated Hospital of Chongqing Medical University and the Fifth People\u2019s Hospital of Chongqing in view of the retrospective nature of the study and all the procedures being performed were part of the routine care. Informed consent was obtained from all individual participants included in the study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical standards"}}]}}