State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: the reporting-a consensus document by the European Society of Cardiovascular Radiology (ESCR).


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 24 01 2022
accepted: 30 06 2022
revised: 26 06 2022
pubmed: 5 10 2022
medline: 3 2 2023
entrez: 4 10 2022
Statut: ppublish

Résumé

The European Society of Cardiovascular Radiology (ESCR) is the European specialist society of cardiac and vascular imaging. This society's highest priority is the continuous improvement, development, and standardization of education, training, and best medical practice, based on experience and evidence. The present intra-society consensus is based on the existing scientific evidence and on the individual experience of the members of the ESCR writing group on carotid diseases, the members of the ESCR guidelines committee, and the members of the executive committee of the ESCR. The recommendations published herein reflect the evidence-based society opinion of ESCR. The purpose of this second document is to discuss suggestions for standardized reporting based on the accompanying consensus document part I. KEY POINTS: • CT and MR imaging-based evaluation of carotid artery disease provides essential information for risk stratification and prediction of stroke. • The information in the report must cover vessel morphology, description of stenosis, and plaque imaging features. • A structured approach to reporting ensures that all essential information is delivered in a standardized and consistent way to the referring clinician.

Identifiants

pubmed: 36194266
doi: 10.1007/s00330-022-09025-6
pii: 10.1007/s00330-022-09025-6
pmc: PMC9889425
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1088-1101

Subventions

Organisme : British Heart Foundation
ID : FS/ICRF/20/26002
Pays : United Kingdom

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2022. The Author(s).

Références

Fox EJ, AJ (2016) Carotid near-occlusion : a comprehensive review, Part 2. AJNR Am J Neuroradiol 4:200–204. https://doi.org/10.3109/13880209.2010.497815
Johansson E, Fox AJ (2016) Carotid near-occlusion: a comprehensive review, part 1 - Definition, terminology, and diagnosis. Am J Neuroradiol 37:2–10. https://doi.org/10.3174/ajnr.A4432
doi: 10.3174/ajnr.A4432
Mannelli L, MacDonald L, Mancini M et al (2015) Dual energy computed tomography quantification of carotid plaques calcification: comparison between monochromatic and polychromatic energies with pathology correlation. Eur Radiol 25:1238–1246. https://doi.org/10.1007/s00330-014-3523-0
doi: 10.1007/s00330-014-3523-0
Saba L, Yuan C, Hatsukami TS et al (2018) Carotid artery wall imaging: perspective and guidelines from the ASNR vessel wall imaging study group and expert consensus recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol. https://doi.org/10.3174/ajnr.A5488
Gwak DS, Kim BK, Chung I, Han MK (2020) The usefulness of Time-of-Flight MR angiography in detection of intraplaque hemorrhage in patients with acute ischemic stroke with symptomatic carotid stenosis. PLoS One 15. https://doi.org/10.1371/journal.pone.0229024
Qiao Y, Etesami M, Malhotra S et al (2011) Identification of intraplaque hemorrhage on MR angiography images: a comparison of contrast-enhanced mask and time-of-flight techniques. AJNR Am J Neuroradiol 32:454–459. https://doi.org/10.3174/ajnr.A2320
doi: 10.3174/ajnr.A2320
Mosleh W, Adib K, Natdanai P et al (2017) High-risk carotid plaques identified by CT-angiogram can predict acute myocardial infarction. Int J Cardiovasc Imaging 33:561–568. https://doi.org/10.1007/s10554-016-1019-5
doi: 10.1007/s10554-016-1019-5
Eisenmenger LB, Aldred BW, Kim SE et al (2016) Prediction of carotid intraplaque hemorrhage using adventitial calcification and plaque thickness on CTA. Am J Neuroradiol 37:1496–1503. https://doi.org/10.3174/ajnr.A4765
doi: 10.3174/ajnr.A4765
Saba L, Lanzino G, Lucatelli P et al (2019) Carotid plaque CTA analysis in symptomatic subjects with bilateral intraplaque hemorrhage: a preliminary analysis. Am J Neuroradiol 40:1538–1545. https://doi.org/10.3174/ajnr.A6160
doi: 10.3174/ajnr.A6160
Ajduk M, Pavić L, Bulimbašić S et al (2009) Multidetector-row computed tomography in evaluation of atherosclerotic carotid plaques complicated with intraplaque hemorrhage. Ann Vasc Surg 23:186–193. https://doi.org/10.1016/j.avsg.2008.05.008
doi: 10.1016/j.avsg.2008.05.008
Hardie AD, Kramer CM, Raghavan P et al (2007) The impact of expansive arterial remodeling on clinical presentation in carotid artery disease: a multidetector ct angiography study. Am J Neuroradiol 28:1067–1070. https://doi.org/10.3174/ajnr.A0508
doi: 10.3174/ajnr.A0508
Ohara T, Toyoda K, Otsubo R et al (2008) Eccentric stenosis of the carotid artery associated with ipsilateral cerebrovascular events. Am J Neuroradiol 29:1200–1203. https://doi.org/10.3174/ajnr.A0997
doi: 10.3174/ajnr.A0997
Fisher M, Paganini-Hill A, Martin A et al (2005) Carotid plaque pathology: Thrombosis, ulceration, and stroke pathogenesis. Stroke 36:253–257. https://doi.org/10.1161/01.STR.0000152336.71224.21
doi: 10.1161/01.STR.0000152336.71224.21
Menon BK, Singh J, Al-Khataami A et al (2010) The donut sign on CT angiography: An indicator of reversible intraluminal carotid thrombus? Neuroradiology 52:1055–1056
doi: 10.1007/s00234-010-0738-x
Grory B Mac, Emmer BJ, Roosendaal SD, et al (2020) Carotid web: an occult mechanism of embolic stroke. J. Neurol. Neurosurg. Psychiatry 91:1283–1289
Kim SJ, Allen JW, Bouslama M et al (2019) Carotid Webs in Cryptogenic Ischemic Strokes: A Matched Case-Control Study. J Stroke Cerebrovasc Dis:28. https://doi.org/10.1016/j.jstrokecerebrovasdis.2019.104402
Trivedi RA, U-King-Im JM, Graves MJ et al (2004) MRI-derived measurements of fibrous-cap and lipid-core thickness: the potential for identifying vulnerable carotid plaques in vivo. Neuroradiology 46:738–743. https://doi.org/10.1007/s00234-004-1247-6
doi: 10.1007/s00234-004-1247-6
Yuan C, Zhang SX, Polissar NL et al (2002) Identification of fibrous cap rupture with magnetic resonance imaging is highly associated with recent transient ischemic attack or stroke. Circulation 105:181–185. https://doi.org/10.1161/hc0202.102121
doi: 10.1161/hc0202.102121
Kooi ME (2003) Accumulation of ultrasmall superparamagnetic particles of iron oxide in human atherosclerotic plaques can be detected by in vivo magnetic resonance imaging. Circulation 107:2453–2458. https://doi.org/10.1161/01.CIR.0000068315.98705.CC
doi: 10.1161/01.CIR.0000068315.98705.CC
Ripa RS, Knudsen A, Hag AMF et al (2013) Feasibility of simultaneous PET/MR of the carotid artery: first clinical experience and comparison to PET/CT. Am J Nucl Med Mol Imaging 3:361–371
Lobbes MBI, Heeneman S, Passos VL et al (2010) Gadofosveset-enhanced magnetic resonance imaging of human carotid atherosclerotic plaques: a proof-of-concept study. Invest Radiol 45:275–281. https://doi.org/10.1097/RLI.0b013e3181d5466b
doi: 10.1097/RLI.0b013e3181d5466b
Saba L, Brinjikji W, Spence JD et al (2021) Roadmap consensus on carotid artery plaque imaging and impact on therapy strategies and guidelines: an international, multispecialty, expert review and position statement. Am. J. Neuroradiol. 42:1566–1575
doi: 10.3174/ajnr.A7223
Weibel J, Fields WS (1965) Tortuosity, coiling, and kinking of the internal carotid artery: I. Etiology and radiographic anatomy. Neurology 15:7–18. https://doi.org/10.1212/wnl.15.1.7
doi: 10.1212/wnl.15.1.7
Metz H, Bannister RG, Murray-Leslie RM et al (1961) Kinking of the internal carotid artery. in Relation to Cerebrovascular Disease. Lancet 277:424–426. https://doi.org/10.1016/S0140-6736(61)90004-6
doi: 10.1016/S0140-6736(61)90004-6
Togay-Işikay C, Kim J, Betterman K et al (2005) Carotid artery tortuosity, kinking, coiling: stroke risk factor, marker, or curiosity? Acta Neurol Belg 105:68–72
Rouleau PA, Huston J, Gilbertson J et al (1999) Carotid artery tandem lesions: frequency of angiographic detection and consequences for endarterectomy. Am J Neuroradiol 20:621–625
Chen YC, Rivera J, Peter K (2015) Tandem stenosis to induce atherosclerotic plaque instability in the mouse. In: In: Methods in Molecular Biology. Humana Press Inc, pp 333–338
Garg A, Bathla G, Molian V et al (2020) Differential risk factors and outcomes of ischemic stroke due to cervical artery dissection in young adults. Cerebrovasc Dis 49:509–515. https://doi.org/10.1159/000510437
doi: 10.1159/000510437
Vertinsky AT, Schwartz NE, Fischbein NJ et al (2008) Comparison of multidetector CT angiography and MR imaging of cervical artery dissection. Am J Neuroradiol 29:1753–1760. https://doi.org/10.3174/ajnr.A1189
doi: 10.3174/ajnr.A1189
Provenzale JM, Sarikaya B, Hacein-Bey L, Wintermark M (2011) Causes of misinterpretation of cross-sectional imaging studies for dissection of the craniocervical arteries. Am J Roentgenol 196:45–52. https://doi.org/10.2214/AJR.10.5384
doi: 10.2214/AJR.10.5384
Touzé E, Oppenheim C, Trystram D et al (2010) Fibromuscular dysplasia of cervical and intracranial arteries. Int. J. Stroke 5:296–305
doi: 10.1111/j.1747-4949.2010.00445.x
Varennes L, Tahon F, Kastler A et al (2015) Fibromuscular dysplasia: what the radiologist should know: a pictorial review. Insights Imaging 6:295–307
doi: 10.1007/s13244-015-0382-4
Abdel Razek AAK, Alvarez H, Bagg S et al (2014) Imaging spectrum of CNS vasculitis. Radiographics 34:873–894. https://doi.org/10.1148/rg.344135028
doi: 10.1148/rg.344135028
Jennette JC, Falk RJ, Bacon PA, et al (2013) 2012 Revised International Chapel Hill consensus conference nomenclature of vasculitides. In: Arthritis and Rheumatism. Arthritis Rheum, pp 1–11
Bond KM, Nasr D, Lehman V et al (2017) Intracranial and extracranial neurovascular manifestations of takayasu arteritis. Am J Neuroradiol 38:766–772. https://doi.org/10.3174/ajnr.A5095
doi: 10.3174/ajnr.A5095
Guggenberger KV, Bley TA (2020) Imaging in vasculitis. Curr Rheumatol Rep 22. https://doi.org/10.1007/S11926-020-00915-6
Anzidei M, Suri JS, Saba L et al (2016) Longitudinal assessment of carotid atherosclerosis after radiation therapy using computed tomography: a case control Study. Eur Radiol:26. https://doi.org/10.1007/s00330-015-3753-9
Hickey P (1922) Standardization of Roentgen-ray reports. AJR Am J Roentgenol 9:422–425
Bosmans JML, Weyler JJ, Parizel PM (2009) Structure and content of radiology reports, a quantitative and qualitative study in eight medical centers. Eur J Radiol 72:354–358. https://doi.org/10.1016/J.EJRAD.2008.06.023
doi: 10.1016/J.EJRAD.2008.06.023
Lubbers MM, Dedic A, Kurata A et al (2018) Round-the-clock performance of coronary CT angiography for suspected acute coronary syndrome: results from the BEACON trial. Eur Radiol 28:2169–2175. https://doi.org/10.1007/S00330-017-5082-7
doi: 10.1007/S00330-017-5082-7
Rothwell PM, Gibson RJ, Slattery J et al (1994) Equivalence of measurements of carotid stenosis. A comparison of three methods on 1001 angiograms. European Carotid Surgery Trialists’ Collaborative Group. Stroke 25:2435–2439
doi: 10.1161/01.STR.25.12.2435
Robless P, Bicknell C, Chataway J et al (2003) Stenosis and carotid endarterectomy. Lancet (London, England) 361:1655–1656. https://doi.org/10.1016/S0140-6736(03)13282-5
doi: 10.1016/S0140-6736(03)13282-5
Vosshenrich J, Nesic I, Cyriac J et al (2021) Revealing the most common reporting errors through data mining of the report proofreading process. Eur Radiol 31:2115. https://doi.org/10.1007/S00330-020-07306-6
doi: 10.1007/S00330-020-07306-6
Francone M, Budde RPJ, Bremerich J et al (2019) CT and MR imaging prior to transcatheter aortic valve implantation: standardisation of scanning protocols, measurements and reporting—a consensus document by the European Society of Cardiovascular Radiology (ESCR). Eur Radiol. https://doi.org/10.1007/s00330-019-06357-8
https://www.escr.org/smart-reporting/

Auteurs

Luca Saba (L)

Department of Radiology, University of Cagliari, Cagliari, Italy.

Christian Loewe (C)

Division of Cardiovascular and Interventional Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.

Thomas Weikert (T)

Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.

Michelle C Williams (MC)

BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH164SB, UK.
Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK.

Nicola Galea (N)

Policlinico Umberto I, Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.

Ricardo P J Budde (RPJ)

Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.

Rozemarijn Vliegenthart (R)

Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.

Birgitta K Velthuis (BK)

Department of Radiology, Utrecht University Medical Center, Heidelberglaan 100, 3584, CX, Utrecht, The Netherlands.

Marco Francone (M)

Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Milan, Italy.
IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Milan, Italy.

Jens Bremerich (J)

Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.

Luigi Natale (L)

Department of Radiological Sciences - Institute of Radiology, Catholic University of Rome, "A. Gemelli" University Hospital, Rome, Italy.

Konstantin Nikolaou (K)

Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tübingen, Germany.

Jean-Nicolas Dacher (JN)

Department of Radiology, Normandie University, UNIROUEN, INSERM U1096 - Rouen University Hospital, F 76000, Rouen, France.

Charles Peebles (C)

Department of Cardiothoracic Radiology, University Hospital Southampton, Southampton, UK.

Federico Caobelli (F)

University Clinic of Nuclear Medicine Inselspital Bern, University of Bern, Bern, Switzerland.

Alban Redheuil (A)

Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
Department of Cardiovascular and Thoracic, Imaging and Interventional Radiology, Institute of Cardiology, APHP, Pitié-Salpêtrière University Hospital, Paris, France.
Laboratoire d'Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, INSERM 1146, CNRS 7371, Paris, France.

Marc Dewey (M)

Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1371, 10117 Berlin, Germany.

Karl-Friedrich Kreitner (KF)

Department of Diagnostic and Interventional Radiology, University Medical Center, Mainz Langenbeckstraße 1, 55131, Mainz, Germany.

Rodrigo Salgado (R)

Department of Radiology, Antwerp University Hospital & Antwerp University, Holy Heart Lier, Berlaar, Belgium. rodrigo.salgado@uza.be.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH