Abstract
Abstract
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.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00330-022-09025-6.
Keywords: Carotid artery diseases, Consensus, CT angiography, MR, Atherosclerotic plaque
Introduction and purpose of this document
In the last 20 years, new evidence has been added to the understanding of the physiopathology of the carotid-related stroke occurrence, by introducing the concept of the carotid artery vulnerability related to the plaque’s features. At the same time, a significant evolution in the imaging techniques has occurred by routinely allowing not only the degree of stenosis quantification but also the assessment of the plaque composition and the detection of the features of vulnerability.
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.
Standardized reporting
ESCR Consensus Statement
In reporting carotid artery atherosclerotic disease, assessment of stenosis severity should be complemented with information regarding plaque morphology and plaque composition. Some imaging biomarkers, described in the accompanying part I document, which are not yet validated by official guidelines should be reported and interpreted with caution.
In this section, we will explain how and what information should be included in the report for the assessment of carotid artery pathology. We classified the information as [mandatory] and [optional]. Some information is modality-specific (e.g., only MR). For broad application, this document does not include advanced approaches that are not considered standard or proprietary technologies.
In general terms, a carotid imaging CT/MR report has three main components: (1) description of presence and degree of stenosis, (2) description of the different plaque components, and (3) description of vessel characteristics.
Also, both sides need to be evaluated and commented on, not limiting the analysis to the initially targeted vessel. Finally, the whole trajectory of the internal carotid arteries needs to be evaluated, including the intracranial segments.
Table 1 provides a proposal for structured reporting applicable for both CT and MR examinations. A glossary of commonly used terms is also added as supplemental material.
Table 1.
Feature | Report component | Comments and practical recommendations |
---|---|---|
Stenosis | ||
Degree | % luminal stenosis | NASCET-method for stenosis grading recommended |
Consider the narrowest luminal diameter for the calculation of stenosis | ||
Perform measurements in a plane perpendicular to vessel long-axis (double-oblique image) | ||
Reference diameter must be unaffected (consider underfilling, near-occlusion) | ||
Location | Bulbar | Atherosclerotic stenoses are usually located at the carotid sinus |
Supra-bulbar | For supra-bulbar extracranial lesions, consider an alternative diagnosis (e.g. FMD) | |
Skull base | ||
Intracranial | ||
Tandem stenosis present | Yes/no | Describe location and severity |
Plaque components | ||
Plaque surface | Smooth | Presence of irregular contour/ulceration is associated with increased stroke risk |
Irregular | ||
Ulceration | ||
Type of plaque | Low-attenuated/non-calcified | CT: Low-attenuated: <60 HU; non-calcified: 60-130 HU; Calcified: > 130 HU |
Mixed | Describe also the relative contribution of different components (e.g. large non-calcified plaque with small spotty calcification) | |
Calcified | ||
Remodelling | Type | Adequately describe the impact of the plaque morphology and expansion on the vessel lumen |
Eccentricity index | ||
Calcification | Severity | Absent, mild, moderate, severe |
Morphology | Bulky, (semi)circular, spotty. | |
Signs of inflammation | Perivascular fat infiltration | Not routine, mention when detectable |
neovascularisation | Not routine | |
Intraplaque hemorrhage | yes/no | MR-preferred |
Vessel characteristics | ||
Aortic arch morphology | Gross arch anatomy | Consider arch atherosclerosis as a source for thromboembolic events, especially in the presence of PAU |
Branching pattern | Branching pattern and aortic arch morphology may influence therapeutic strategy (surgery vs stent) | |
Presence and degree of atherosclerosis | ||
Morphology carotid arteries | Unremarkable | |
Elongation | ||
Kinking | ||
Coiling | ||
Vertebral arteries | Normal/abnormal | Describe abnormalities when present |
Dominance | ||
Basilar artery | Normal/abnormal | |
Circle of Willis | Anatomic variants | |
Communication between anterior and posterior circulation | ||
Ancillary findings | ||
Describe any abnormal findings in other visualized structures/anatomical regions. However, consider that the contrast phase of CT/MR acquisition is usually the arterial phase only. |
Degree of stenosis [mandatory, CT/MR]
As previously stated, we recommend the NASCET method to quantify ICA stenosis. The narrowest luminal diameter at the level of the stenosis must be used for the calculation of stenosis severity. Measurements should be performed in a plane perpendicular to the vessel’s long axis. This implies the construction of a CMPR. Standard, axial, sagittal, or coronal planes are not applicable. Also, the used reference diameter distal from the stenosis should be a patent vessel segment.
The fact that the NASCET method uses the normal distal ICA for the calculation of the stenosis percentage has some practical implications that one should be aware of. First, caution should be taken in cases of near-occlusion with post-stenotic underfilling [1, 2]. Therefore, the NASCET collaborators recommend assessing near-occlusion first, as in such cases a collapsed/underfilled distal ICA used for percentage calculation will result in an underestimation of stenosis severity (Fig. 1). As such, it is an error to report a near-occlusion as 99% stenosis as in this specific situation the distal portion of the ICA may not be used as a denominator for the quantification of the degree of stenosis [1, 2].
Second, merely reporting the degree of luminal stenosis can result in the underestimation of carotid disease as the luminal diameter can be maintained through the positive remodeling of the vessel wall with outward growth and without luminal compromise rather than inward growth with stenosis. This is further illustrated in the NASCET method by the anatomy of the carotid artery at the level of the bulb, as the normal outward bulge of the lumen at the carotid bulb may be lost due to the presence of disease but still not cause any measured stenosis given the location of the reference diameter (Fig. 2). Consequently, the presence of positive/negative remodeling should always be reported as well (Fig. 3). While both CT and MR can accurately visualize remodeling, it in practice easier to assess on CT given among others the inherent 3D isotropic nature of the image acquisition.
Finally, special care should be taken to identify possible tandem stenosis, defined as the simultaneous presence of severe carotid bifurcation stenosis and second stenosis of ≥50% in any downstream distal cerebral artery. This includes the intracranial arteries and the circle of Willis.
Plaque components and morphology
An overview of the different plaque components, their clinical significance, and preferred imaging modality is given in Table 2.
Table 2.
Plaque feature | Pathophysiological impact | Feature of plaque vulnerability | Preferred imaging modality | Reported in clinical practice |
---|---|---|---|---|
Type of plaque | See below for comments on specific components | CT | Yes | |
Fibrous cap | Thinning of the fibrous cap increases the risk of plaque rupture | ++ | MR | No |
Calcifications | While overall considered a sign of a plaque stability, conversely the type and chemical composition of calcium in atheromatous plaques can potentially increase plaque vulnerability | (debated) | CT | Yes |
Intraplaque hemorrhage | Most important imaging biomarker for plaque instability. It is independent of stenosis severity, associated with acute events, and also with an increased risk for ipsilateral future ischemic events in both symptomatic and asymptomatic subjects. | +++ | MR | Yes |
Plaque ulceration | Presence of ulcerations is associated with cerebrovascular events | ++ | CT | Yes |
Lipid-rich necrotic core | An increased amount of intraplaque lipid is associated with elevated cerebrovascular risk. | ++ | MR | Yes |
Maximum Wall thickness | Maximum plaque thickness (measured in mm) is a predictor of cerebral ischemic events | + | CT/MR | Research setting |
Plaque volume | Larger volume is associated with increased vulnerability and occurrence of future cerebrovascular events | + | CT>MR | Research setting |
Plaque neovascularisation | Denser vasa vasorum network is associated with symptomatic disease | + | CT/MR | Research setting |
Plaque- and perivascular fat inflammation | Inflammation is associated with cerebrovascular events | +++ | 18F-FDG PET-CT / MR | Research setting |
Plaque remodelling | Remodelling refers to cross-sectional vessel area changes in reaction to atherosclerotic changes. Inadequate outward (positive) eccentric remodelling is associated with symptomatic disease and increased ipsilateral cerebrovascular events. | ++ | CT/MR | Yes |
Type of plaque [mandatory, CT]
The fundamental CT analysis of the type of the plaque is based on the attenuation value. According to the HU attenuation values it should be described as low-attenuated (< 60 HU), mixed (between 60 and 130 HU) or calcified (> 130 HU) plaques (Fig. 4). These values however vary with chosen tube voltage and the presence of iodinated contrast. A setting of 120 kV is recommended for plaque density measurement. Also, while CT offers the possibility of quantitative evaluation of some plaque features, the accuracy of these measurements is very closely linked to the obtained image quality. Any degradation of the latter, e.g. due to the presence of previous dental work or any other source of artifacts, can compromise the CT measurements and lead to the wrong conclusion.
Plaque composition: calcification [mandatory, CT]
The presence and morphology of calcification should be described. The severity should be visually assessed and broadly described as absent, mild, moderate, or severe (grade 0, 1, 2, or 3). The presence of a positive “rim sign” (Fig. 5), defined as the presence of an adventitial calcification (<2-mm thick) with internal non-calcified plaque (≥2-mm thickness), should be reported because of its potential association with IPH.
Dual-energy CT with post-processing using 80–100 keV provides the most accurate estimates of calcification size, as compared to histology[3] [optional].
Plaque composition: intraplaque hemorrhage [mandatory, MR]
With MR, the identification of intraplaque hemorrhage (IPH) is possible using different approaches. The simplest approach is the detection of focal regions of T1 hyperintensity within the carotid plaque that is 1.5 times greater than the adjacent sternocleidomastoid muscle, attributable to the strong T1-shortening effect of methemoglobin generated from erythrocyte degradation (Fig. 6) [4]. It is also possible to use the time-of-flight (TOF) for IPH detection [5] due to its inherent T1 contrast. Limitations include susceptibility to flow artifacts, particularly in tortuous segments, low sensitivity to IPH, and inability to differentiate juxtaluminal IPH from ulceration [6].
CTA is not yet considered a robust method to detect the presence of IPH but several studies suggest that some specific features are significantly associated with the presence of IPH in CTA: presence of the napkin sign [7], positive rim sign [8], and presence of internal low attenuation (< 25 HU or 30 HU according to different groups) [9, 10].
Presence of remodeling [mandatory, CT/MR]
Remodeling should be classified as outward (positive), neutral, or inward (negative) [mandatory] (Fig. 3). It is also possible to add the plaque remodeling ratio (RR) that is determined, according to Hardie [11], by (1) measurement of the outside vessel circumference of the extracranial internal carotid artery at the point of maximal luminal stenosis, and (2) divided by the outside vessel circumference at a region unaffected by atherosclerotic disease [optional]
The eccentric or concentric morphology of the plaque must be at least visually evaluated [mandatory]. Alternatively, it can be expressed quantitatively with the eccentricity index (EI) of the plaque calculated as the ratio between the maximum thickness and minimum thickness at the point of maximum stenosis [12] [optional]
Plaque ancillary findings: thrombus (floating) [mandatory]
Intraluminal thrombus, an additional marker that is highly associated with stroke [13], can be detected on CTA as a donut sign (Fig. 7) [14]. Another definition is the presence of a filling defect outlined by lumen contrast that is visualized on multiplanar reformats. Both CT and MR are able to detect thrombus.
Plaque ancillary findings: carotid web [mandatory]
A carotid web appears as a shelf-like projection into the lumen of the proximal cervical internal carotid artery without evidence of calcification (Fig. 8) [15]. This is a proposed stroke mechanism that may underlie cryptogenic stroke, particularly in younger patients without vascular risk factors [16].
Plaque composition: lipid-rich necrotic core [optional, MR]
As previously stated, CT cannot assess the presence of lipid-rich necrotic core (LRNC) but can identify the presence of low-density areas that could represent LRNC. Basic assessment involves measuring attenuation density in a ROI in the plaque. More advanced assessment involves the calculation of the volume of plaque subcomponents.
MR T2-weighted imaging can be used to detect the presence of LRNC [17]. Direct assessment of LRNC can also be done in patients undergoing contrast administration using a post-contrast T1w scan. CE-MRA followed by post-CE vessel wall imaging in patients without contraindication will improve the detection and quantification of the LRNC.
Status of the fibrous cap [optional, MR]
When assessing the carotid plaque with high-resolution MRI, information on the fibrous cap status should be given by categorizing it as thick (normal), thin, or fissured [18].
Plaque inflammation [optional, CT/MR]
It is possible to include information with CT, regarding the perivascular fat density (PFD) measured as the attenuation value of the pericarotid fat. It should be measured as a circular/elliptic ROI obtained close to the point of maximum stenosis [optional].
Ultrasmall superparamagnetic particles of iron oxide enhanced MRI has been shown to identify macrophage infiltration [19].
PET/CT or PET/MR can be used to study plaque inflammation or biological activity, along with plaque characterization in a single examination [20]. However, only 18F-FDG PET is to date routinely used in clinical practice, and when assessing small structures, the sensitivity and specificity can be low due to spatial resolution and often suboptimal lesion-to-background ratio. New tracers that are being developed are warranted to enhance the role of PET/CT and PET/MR in clinical practice.
Plaque neovascularization [optional]
It is possible to include information about plaque neovascularization on CT, with the contrast plaque enhancement (CPE) value by measuring the attenuation value of the plaque with a region of interest (ROI) on pre- and post-contrast scans. It is important to avoid areas of calcium and beam hardening, because of the high attenuation value, and to compare exactly the same ROI on the pre- and post-contrast imaging.
Using MR, the detection and quantification of neovascularization are possible using the DCE-MR (Ktrans - volume transfer coefficient method). Alternatively, gadofosveset-enhanced MRI can be used to visualize plaque microvasculature without the need to use pharmacokinetic modeling [21].
Plaque burden—distribution and subcomponents [optional]
Knowledge of the location and distribution of plaques can be helpful in the pre-procedural workup of a patient with carotid artery disease. In particular, plaque length measurement (longitudinal extension) and the relationship of a targeted plaque with the carotid bifurcation may provide better insights regarding the optimal surgical approach or the possibility to deploy a stent. This information can be easily obtained using CPR reconstructions along the trajectory of interest with centerline measurements, usually performed on CT but also possible with MR. Moreover, CT can calculate the volume of carotid artery plaque and determine the volume of plaque sub-components, according to the attenuation density threshold.
With MR, efficient 3D large coverage black-blood MR may be better suited for this purpose. With commercially available software it is possible to obtain a fast visualization of the spatial localization of the tissue components.
While this information is not currently a parameter required in standard CT/MR reports due to the lack of standardization and required post-processing, it may be implemented on a case-by-case basis. Also, it is reasonable to think that with the current ongoing evidence related to the impact of the plaque burden and the development of advanced software packages, this parameter could also be incorporated into the future radiological report on the carotid arteries[22].
Vessel morphology [all sections mandatory]
Most atherosclerotic plaques occur at the carotid bifurcation, involving the distal CCA and the bifurcation and extending to the proximal ICA. Nevertheless, a detailed analysis should be performed of the complete trajectory of the carotid arteries from their origin until their intracranial segments.
Definition of the aortic arch and supra-aortic vessel branching anatomy
The description of the aortic arch [including the presence of calcification, aneurysm, thrombi, and/or penetrating atherosclerotic ulcers (PAU)] as well as branching anatomy of supra-aortic vessels and the presence of subclavian artery pathology is fundamental given the potential implications for carotid artery treatment.
Common carotid artery status
The presence and quantification of the severity of plaque (> 50%) in the common carotid artery (CCA) should be reported by describing the type (calcified, low-attenuated, mixed).
ICA vessel tortuosity
Vessel tortuosity can be classified according to the modified criteria of Weibel-Fields and Metz [23–25], which describe the course as tortuous (elongated), kinked (mild, moderate, severe), or coiled when applicable (see also Table 5, part I). This abnormal morphology can be found in all segments of the common carotid artery (CCA) and ICA and should be commented on in both CT and MR reports.
Carotid arteries—distal extracranial segment and intracranial segments
Description of any distal plaques should be reported in particular for the potential impact on surgical procedures. The presence of a severe distal carotid artery plaque should be defined as a “tandem” plaque [26]. While the presence of a tandem lesion infrequently alters the surgeon's decision to perform an endarterectomy, detecting tandem stenoses may have important implications for long-term medical management in symptomatic patients [26, 27].
Vertebral arteries/basilar and other vessels
Description of anatomy from the subclavian origin through to the basilar artery as well as the presence of at least moderate (> 50%) stenosis. Also, the superior cerebellar artery (SCA), the anterior inferior cerebellar artery (AICA), and the posterior inferior cerebellar artery (PICA) should be commented on in the report when the absence of these vessels is noted.
Circle of Willis
Analysis of the circle of Willis should be included. The key information is (1) anatomy with the presence of variants (dominant, absent, or hypoplastic (<1 mm) segments); (2) exclusion of aneurysms; and (3) identification of atherosclerotic (or other types e.g. inflammatory) lesions in the main arteries.
Post-intervention imaging
While the vast majority of CT/MR examinations will be performed for diagnostic purposes, some patients will be referred for imaging after an intervention. Two groups can be distinguished: surgical intervention (carotid endarterectomy or surgical graft placement) versus deployment of a stent. In both instances, the main goal of imaging is the evaluation of the patency of the treated carotid artery segment, and the detection of possible complications. Possible complications include post-operative dissection, neo-intimal stent hyperplasia (Fig. 9), restenosis, and occlusion. While some of these complications may be detected with ultrasound, CT and MR offer greater anatomical detail and deliver all necessary information regarding a possible re-intervention.
Carotid differential diagnosis
During the assessment of supra-aortic vessels, a differential diagnosis hypothesis can be formulated when typical features are detected. The definition of these multiple entities outside atherosclerotic disease is out of the scope of this paper and only some key elements are further described here.
Carotid dissection
Carotid dissection is responsible for 20 % of ischemic strokes in young adults under 45 years and for about 2% of ischemic strokes overall [28]. In MR, the detection of this condition is usually straightforward as the blood within the layers (intima and media) has a hyperintense signal visible with T1W-fat-sat sequences (Fig. 10) [29]. In CTA, it is challenging to distinguish the presence of blood degradation products based on the mere attenuation density. Other features that should be identified are as follows: (1) localization, as usually carotid dissection, does not normally involve the bifurcation that is the usual location of atherosclerosis; (2) morphology of the occlusion because the occlusion (or sub-occlusion) usually shows a “flame” sign that is not typical in the atherosclerotic process. In the case of previous dissection, a pseudo-aneurysm can occur, caused by a weakened wall due to the absence of the intima. However, some pitfalls can be encountered such as flow-related enhancement in arteries and veins that can simulate intramural hematoma and special care regarding the technical acquisition is fundamental [30].
Fibromuscular dysplasia
Fibromuscular dysplasia (FMD) is an idiopathic, non-inflammatory, and non-atherosclerotic disease with a prevalence between 0.3 and 3% in the cervico-encephalic arteries. The string-of-beads aspect is highly suggestive of FMD (Fig. 11) [31]. Another frequent finding suggestive of an FMD diagnosis is the presence of a “web-like” defect at the origin of the internal carotid artery [32].
Vasculitis
Carotid vasculitis can be defined as the inflammation of carotid artery walls with or without necrosis, leading to stenosis or occlusion of the lumen [33]. Vasculitis may be associated with systemic connective tissue disorders or may be secondary to infection, malignancy, drugs, or radiation therapy. For a correct diagnosis, relevant laboratory tests are also required. The 2012 Chapel Hill Consensus Conference defined different types of vasculitis in terms of (a) the size of the involved arteries and (b) associated pathologic lesions. The most frequent vasculitis involving carotid arteries are Takayasu arteritis and Giant cell arteritis [34] [35]. However, other conditions (e.g., infection, syphilis, tuberculosis, drugs) can also cause vasculitis.
With CTA/MRA imaging, signs of carotid vasculitis are vessel wall thickening (mostly concentric representing a key parameter in the differential diagnosis) and contrast enhancement. Usually, there is no preference for the involvement of the carotid bifurcation (different from atherosclerotic disease). In the case of active vasculitis, contrast enhancement of the thickened vessel wall may be seen on both CT and MR. Some authors suggest using T2-weighted TSE imaging for edema detection in mural inflammation but this is less sensitive and more vulnerable to artifacts compared to T1-weighted, fat-suppressed, contrast-enhanced, black blood MR imaging [36].
Presence and treatment of malignancy
Rarely, a solid tumor may be found along the course of the carotid arteries. A carotid body tumor is in typical cases located at the carotid bifurcation, splaying the internal and external carotid arteries but without invading the wall. This typical location together with the hypervascular nature is usually sufficient for a confident diagnosis.
Radiation treatment can also induce non-atherosclerotic luminal narrowing as radiation-induced fibrosis [37]. In a typical case, this presents as a luminal narrowing without plaque formation or remodeling.
Ancillary information
The analysis should be completed with the assessment of the other visualized structures [mandatory]. All pathological findings should be reported at the end of the report as ancillary findings.
Discussion and conclusion
The use of standardized and structured reporting for radiology examinations has gained significant momentum in recent years. However, it may come as a surprise that this concept is not new, as Preston Hickey proclaimed almost 100 years ago that “reports filed in hospitals should be scientifically accurate and should follow an accepted nomenclature, so at to have value in a statistical sense” [38].
This formalized approach to delivering the information contained in imaging datasets following a pre-defined template has many advantages. As a standard model sharing the same language, it is a means to avoid errors of interpretation, as the reports will be mostly void of personal preferences in the way they deliver information [39]. Also, it allows the reporting radiologist to follow a step-by-step process, assuring that all relevant information is covered and as such reducing important omissions. This is especially important when radiologists are less experienced in the pathology at hand, especially when performing the examination on call after normal office hours [40].
It is well demonstrated that the simple missing information related to the modality of stenosis degree measurements [41] can determine significant mistakes in the strategies for the section of the therapeutical approach [42].
A standardized and structured reporting could represent an advantage for the use of a correct and reproducible modality of information transfer among the different physicians by using a shared and unified model of presentation and interpretation of the information by reducing the overall frequency of errors [43].
For these reasons, the ESCR has promoted structured reporting in its publications [44] and has a joint venture with specialized companies to promote this among the cardiovascular imaging community [45]. This part II document on carotid imaging presents a further effort to standardize the reporting of carotid pathology in CT and MR examinations and has left room for the inclusion of upcoming technologies that could further change the landscape of plaque imaging.
Supplementary information
Acknowledgements
Michelle C. Williams (FS/ICRF/20/26002) is supported by the British Heart Foundation.
Abbreviations
- 18F
18-Fluorodeoxyglucose
- AICA
Anterior inferior cerebellar artery
- CCA
Common carotid artery
- CMPR
Curved multi-planar reformations
- CT
Computed tomography
- CTA
Computed tomography angiography
- EI
Eccentricity index
- ICA
Internal carotid artery
- IPH
Intraplaque hemorrhage
- MR
Magnetic resonance
- MRA
Magnetic resonance angiography
- NASCET
North American Symptomatic Carotid Endarterectomy Trial.
- PD
Proton density
- PET
Positron emission tomography
- PFD
Perivascular fat density
- PICA
Posterior inferior cerebellar artery
- SCA
Superior cerebellar artery
- SNR
Signal-to-noise ratio
- T1W
T1-weighted
- TOF
Time of flight
- US
Ultrasound
- USPIO
Ultrasmall superparamagnetic iron oxide
- VR
Volume rendering
Declarations
Guarantor
The scientific guarantor of this publication is Luca Saba, Department of Radiology, University of Cagliari, Cagliari, Italy.
Conflict of interest
The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
Statistics and biometry
No complex statistical methods were necessary for this paper.
Informed consent
This is a scientific society consensus statement. No informed consent applies.
Ethical approval
Institutional Review Board approval was not required as this is a scientific society consensus statement
Methodology
scientific society consensus statement
Footnotes
The original online version of this article was revised: the first names of all authors have now been written out in full.
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Change history
11/29/2022
A Correction to this paper has been published: 10.1007/s00330-022-09247-8
References
- 1.Fox EJ, AJ (2016) Carotid near-occlusion : a comprehensive review, Part 2. AJNR Am J Neuroradiol 4:200–204. 10.3109/13880209.2010.497815 [DOI] [PMC free article] [PubMed]
- 2.Johansson E, Fox AJ. Carotid near-occlusion: a comprehensive review, part 1 - Definition, terminology, and diagnosis. Am J Neuroradiol. 2016;37:2–10. doi: 10.3174/ajnr.A4432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mannelli L, MacDonald L, Mancini M, et al. Dual energy computed tomography quantification of carotid plaques calcification: comparison between monochromatic and polychromatic energies with pathology correlation. Eur Radiol. 2015;25:1238–1246. doi: 10.1007/s00330-014-3523-0. [DOI] [PubMed] [Google Scholar]
- 4.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. 10.3174/ajnr.A5488 [DOI] [PMC free article] [PubMed]
- 5.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. 10.1371/journal.pone.0229024 [DOI] [PMC free article] [PubMed]
- 6.Qiao Y, Etesami M, Malhotra S, et al. Identification of intraplaque hemorrhage on MR angiography images: a comparison of contrast-enhanced mask and time-of-flight techniques. AJNR Am J Neuroradiol. 2011;32:454–459. doi: 10.3174/ajnr.A2320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Mosleh W, Adib K, Natdanai P, et al. High-risk carotid plaques identified by CT-angiogram can predict acute myocardial infarction. Int J Cardiovasc Imaging. 2017;33:561–568. doi: 10.1007/s10554-016-1019-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Eisenmenger LB, Aldred BW, Kim SE, et al. Prediction of carotid intraplaque hemorrhage using adventitial calcification and plaque thickness on CTA. Am J Neuroradiol. 2016;37:1496–1503. doi: 10.3174/ajnr.A4765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Saba L, Lanzino G, Lucatelli P, et al. Carotid plaque CTA analysis in symptomatic subjects with bilateral intraplaque hemorrhage: a preliminary analysis. Am J Neuroradiol. 2019;40:1538–1545. doi: 10.3174/ajnr.A6160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ajduk M, Pavić L, Bulimbašić S, et al. Multidetector-row computed tomography in evaluation of atherosclerotic carotid plaques complicated with intraplaque hemorrhage. Ann Vasc Surg. 2009;23:186–193. doi: 10.1016/j.avsg.2008.05.008. [DOI] [PubMed] [Google Scholar]
- 11.Hardie AD, Kramer CM, Raghavan P, et al. The impact of expansive arterial remodeling on clinical presentation in carotid artery disease: a multidetector ct angiography study. Am J Neuroradiol. 2007;28:1067–1070. doi: 10.3174/ajnr.A0508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ohara T, Toyoda K, Otsubo R, et al. Eccentric stenosis of the carotid artery associated with ipsilateral cerebrovascular events. Am J Neuroradiol. 2008;29:1200–1203. doi: 10.3174/ajnr.A0997. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Fisher M, Paganini-Hill A, Martin A, et al. Carotid plaque pathology: Thrombosis, ulceration, and stroke pathogenesis. Stroke. 2005;36:253–257. doi: 10.1161/01.STR.0000152336.71224.21. [DOI] [PubMed] [Google Scholar]
- 14.Menon BK, Singh J, Al-Khataami A, et al. The donut sign on CT angiography: An indicator of reversible intraluminal carotid thrombus? Neuroradiology. 2010;52:1055–1056. doi: 10.1007/s00234-010-0738-x. [DOI] [PubMed] [Google Scholar]
- 15.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 [DOI] [PubMed]
- 16.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. 10.1016/j.jstrokecerebrovasdis.2019.104402 [DOI] [PubMed]
- 17.Trivedi RA, U-King-Im JM, Graves MJ, et al. MRI-derived measurements of fibrous-cap and lipid-core thickness: the potential for identifying vulnerable carotid plaques in vivo. Neuroradiology. 2004;46:738–743. doi: 10.1007/s00234-004-1247-6. [DOI] [PubMed] [Google Scholar]
- 18.Yuan C, Zhang SX, Polissar NL, et al. Identification of fibrous cap rupture with magnetic resonance imaging is highly associated with recent transient ischemic attack or stroke. Circulation. 2002;105:181–185. doi: 10.1161/hc0202.102121. [DOI] [PubMed] [Google Scholar]
- 19.Kooi ME. Accumulation of ultrasmall superparamagnetic particles of iron oxide in human atherosclerotic plaques can be detected by in vivo magnetic resonance imaging. Circulation. 2003;107:2453–2458. doi: 10.1161/01.CIR.0000068315.98705.CC. [DOI] [PubMed] [Google Scholar]
- 20.Ripa RS, Knudsen A, Hag AMF, et al. Feasibility of simultaneous PET/MR of the carotid artery: first clinical experience and comparison to PET/CT. Am J Nucl Med Mol Imaging. 2013;3:361–371. [PMC free article] [PubMed] [Google Scholar]
- 21.Lobbes MBI, Heeneman S, Passos VL, et al. Gadofosveset-enhanced magnetic resonance imaging of human carotid atherosclerotic plaques: a proof-of-concept study. Invest Radiol. 2010;45:275–281. doi: 10.1097/RLI.0b013e3181d5466b. [DOI] [PubMed] [Google Scholar]
- 22.Saba L, Brinjikji W, Spence JD, et al. 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. 2021;42:1566–1575. doi: 10.3174/ajnr.A7223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Weibel J, Fields WS. Tortuosity, coiling, and kinking of the internal carotid artery: I. Etiology and radiographic anatomy. Neurology. 1965;15:7–18. doi: 10.1212/wnl.15.1.7. [DOI] [PubMed] [Google Scholar]
- 24.Metz H, Bannister RG, Murray-Leslie RM, et al. Kinking of the internal carotid artery. in Relation to Cerebrovascular Disease. Lancet. 1961;277:424–426. doi: 10.1016/S0140-6736(61)90004-6. [DOI] [PubMed] [Google Scholar]
- 25.Togay-Işikay C, Kim J, Betterman K, et al. Carotid artery tortuosity, kinking, coiling: stroke risk factor, marker, or curiosity? Acta Neurol Belg. 2005;105:68–72. [PubMed] [Google Scholar]
- 26.Rouleau PA, Huston J, Gilbertson J, et al. Carotid artery tandem lesions: frequency of angiographic detection and consequences for endarterectomy. Am J Neuroradiol. 1999;20:621–625. [PMC free article] [PubMed] [Google Scholar]
- 27.Chen YC, Rivera J, Peter K. In: Methods in Molecular Biology. Humana Press Inc; 2015. Tandem stenosis to induce atherosclerotic plaque instability in the mouse; pp. 333–338. [DOI] [PubMed] [Google Scholar]
- 28.Garg A, Bathla G, Molian V, et al. Differential risk factors and outcomes of ischemic stroke due to cervical artery dissection in young adults. Cerebrovasc Dis. 2020;49:509–515. doi: 10.1159/000510437. [DOI] [PubMed] [Google Scholar]
- 29.Vertinsky AT, Schwartz NE, Fischbein NJ, et al. Comparison of multidetector CT angiography and MR imaging of cervical artery dissection. Am J Neuroradiol. 2008;29:1753–1760. doi: 10.3174/ajnr.A1189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Provenzale JM, Sarikaya B, Hacein-Bey L, Wintermark M. Causes of misinterpretation of cross-sectional imaging studies for dissection of the craniocervical arteries. Am J Roentgenol. 2011;196:45–52. doi: 10.2214/AJR.10.5384. [DOI] [PubMed] [Google Scholar]
- 31.Touzé E, Oppenheim C, Trystram D, et al. Fibromuscular dysplasia of cervical and intracranial arteries. Int. J. Stroke. 2010;5:296–305. doi: 10.1111/j.1747-4949.2010.00445.x. [DOI] [PubMed] [Google Scholar]
- 32.Varennes L, Tahon F, Kastler A, et al. Fibromuscular dysplasia: what the radiologist should know: a pictorial review. Insights Imaging. 2015;6:295–307. doi: 10.1007/s13244-015-0382-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Abdel Razek AAK, Alvarez H, Bagg S, et al. Imaging spectrum of CNS vasculitis. Radiographics. 2014;34:873–894. doi: 10.1148/rg.344135028. [DOI] [PubMed] [Google Scholar]
- 34.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 [DOI] [PubMed]
- 35.Bond KM, Nasr D, Lehman V, et al. Intracranial and extracranial neurovascular manifestations of takayasu arteritis. Am J Neuroradiol. 2017;38:766–772. doi: 10.3174/ajnr.A5095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Guggenberger KV, Bley TA (2020) Imaging in vasculitis. Curr Rheumatol Rep 22. 10.1007/S11926-020-00915-6 [DOI] [PMC free article] [PubMed]
- 37.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. 10.1007/s00330-015-3753-9 [DOI] [PubMed]
- 38.Hickey P. Standardization of Roentgen-ray reports. AJR Am J Roentgenol. 1922;9:422–425. [Google Scholar]
- 39.Bosmans JML, Weyler JJ, Parizel PM. Structure and content of radiology reports, a quantitative and qualitative study in eight medical centers. Eur J Radiol. 2009;72:354–358. doi: 10.1016/J.EJRAD.2008.06.023. [DOI] [PubMed] [Google Scholar]
- 40.Lubbers MM, Dedic A, Kurata A, et al. Round-the-clock performance of coronary CT angiography for suspected acute coronary syndrome: results from the BEACON trial. Eur Radiol. 2018;28:2169–2175. doi: 10.1007/S00330-017-5082-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Rothwell PM, Gibson RJ, Slattery J, et al. Equivalence of measurements of carotid stenosis. A comparison of three methods on 1001 angiograms. European Carotid Surgery Trialists’ Collaborative Group. Stroke. 1994;25:2435–2439. doi: 10.1161/01.STR.25.12.2435. [DOI] [PubMed] [Google Scholar]
- 42.Robless P, Bicknell C, Chataway J, et al. Stenosis and carotid endarterectomy. Lancet (London, England) 2003;361:1655–1656. doi: 10.1016/S0140-6736(03)13282-5. [DOI] [PubMed] [Google Scholar]
- 43.Vosshenrich J, Nesic I, Cyriac J, et al. Revealing the most common reporting errors through data mining of the report proofreading process. Eur Radiol. 2021;31:2115. doi: 10.1007/S00330-020-07306-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.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. 10.1007/s00330-019-06357-8 [DOI] [PMC free article] [PubMed]
- 45.https://www.escr.org/smart-reporting/
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