Advertisement
Research ArticleExtracranial Vascular

CT Attenuation Analysis of Carotid Intraplaque Hemorrhage

L. Saba, M. Francone, P.P. Bassareo, L. Lai, R. Sanfilippo, R. Montisci, J.S. Suri, C.N. De Cecco and G. Faa
American Journal of Neuroradiology January 2018, 39 (1) 131-137; DOI: https://doi.org/10.3174/ajnr.A5461

Abstract

BACKGROUND AND PURPOSE: Intraplaque hemorrhage is considered a leading parameter of carotid plaque vulnerability. Our purpose was to assess the CT characteristics of intraplaque hemorrhage with histopathologic correlation to identify features that allow for confirming or ruling out the intraplaque hemorrhage.

MATERIALS AND METHODS: This retrospective study included 91 patients (67 men; median age, 65 ± 7 years; age range, 41–83 years) who underwent CT angiography and carotid endarterectomy from March 2010 to May 2013. Histopathologic analysis was performed for the tissue characterization and identification of intraplaque hemorrhage. Two observers assessed the plaque's attenuation values by using an ROI (≥ 1 and ≤2 mm2). Receiver operating characteristic curve, Mann-Whitney, and Wilcoxon analyses were performed.

RESULTS: A total of 169 slices were assessed (59 intraplaque hemorrhage, 63 lipid-rich necrotic core, and 47 fibrous); the average values of the intraplaque hemorrhage, lipid-rich necrotic core, and fibrous tissue were 17.475 Hounsfield units (HU) and 18.407 HU, 39.476 HU and 48.048 HU, and 91.66 HU and 93.128 HU, respectively, before and after the administration of contrast medium. The Mann-Whitney test showed a statistically significant difference of HU values both in basal and after the administration of contrast material phase. Receiver operating characteristic analysis showed a statistical association between intraplaque hemorrhage and low HU values, and a threshold of 25 HU demonstrated the presence of intraplaque hemorrhage with a sensitivity and specificity of 93.22% and 92.73%, respectively. The Wilcoxon test showed that the attenuation of the plaque before and after administration of contrast material is different (intraplaque hemorrhage, lipid-rich necrotic core, and fibrous tissue had P values of .006, .0001, and .018, respectively).

CONCLUSIONS: The results of this preliminary study suggest that CT can be used to identify the presence of intraplaque hemorrhage according to the attenuation. A threshold of 25 HU in the volume acquired after the administration of contrast medium is associated with an optimal sensitivity and specificity. Special care should be given to the correct identification of the ROI.

ABBREVIATIONS:

Az
area under the receiver operating characteristic curve
CEA
carotid endarterectomy
HU
Hounsfield unit
IPH
intraplaque hemorrhage
LRNC
lipid-rich necrotic core

During the past few years, several studies have demonstrated that the occurrence of intraplaque hemorrhage (IPH) in the carotid artery is linked with an increased risk of plaque rupture,1⇓–3 and therefore, IPH is considered a fundamental parameter of the so-called plaque vulnerability.4

Most of the research performed in the past 20 years was based on results from autopsy studies or on the specimens taken from carotid endartectomies.5,6 With the introduction of high-resolution black-blood MRI,7,8 it has become possible to identify noninvasively the IPH with optimal correlation to histology, and past literature has suggested an association between IPH and the occurrence of cerebrovascular events.9 In a recently published meta-analysis by Saam et al,10 it was demonstrated that the presence of IPH is associated with a 5- to 7-fold higher risk of cerebrovascular events.

However, carotid arteries are frequently imaged by using CT, which allows for characterizing the degree of stenosis11,12 with an excellent level of detail. Further, it offers information related to the risk of the plaque vulnerability such as the volume of the plaque and it subcomponents13,14 or the identification of ulcers in the plaque.15,16 Moreover, CT provides a unique option in some categories of patients who cannot be imaged by using MR imaging (eg, those with a prosthesis or pacemaker). Therefore, the identification of the determinants of plaque vulnerability, and in particular IPH, could be extremely important.

The purpose of this study was to assess the CT characteristics of the IPH with histopathologic correlation to identify features that allow for confirming or ruling out the IPH.

Materials and Methods

Study Design and Patient Population

The institutional review board of our hospital (Azienda Ospedaliera Universitaria di Cagliari) approved this retrospective study protocol, and we included all the patients who underwent carotid endarterectomy (CEA) and whose carotid specimen was analyzed by histologists. Therefore, 91 patients (67 men; median age, 65 ± 7 years; age range, 41–83 years) who underwent CEA from March 2010 to May 2013 were included. This research was conducted in accordance with the guidelines of our institution's research committee, and because of the retrospective nature of the analysis, patient consent was waived.

We considered as an inclusion criterion that the CEA was performed within 10 days after the CTA, whereas we excluded those patients who underwent CEA for restenosis or radiation therapy–induced carotid stenosis. A further exclusion criterion was the plaque's rupture or fragmentation during the CEA procedure and/or manipulation.

In our hospital, the quantification of the degree of stenosis and the carotid artery plaque analysis is performed by using CTA according to previously published inclusion criteria.17,18 Carotid sonography is used as the first-line technique to assess the presence of atherosclerosis, and briefly, CTA of carotid arteries is performed when 1) carotid sonography shows a pathologic stenosis (> 50% measured with the NASCET criteria19) or features related to plaque vulnerability (eg, ulcerations, irregular surface) and 2) sonography cannot adequately assess the degree of stenosis and the plaque's characteristics because of anatomic conditions. Patients were also classified as symptomatic or asymptomatic according to the neurologic assessment documented in the clinical chart review by using the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) criteria. Part of the study population (n = 58) of this research was included in previously published papers.20,21

CTA Technique

Patients were studied by using a 16–multidetector row CT system (Brilliance; Philips Healthcare, Best, the Netherlands). CT images were obtained with coverage from the aortic arch to the carotid siphon with caudocranial direction. Examinations were performed before and after the administration of contrast material. Angiographic phase was obtained with the administration of 80 mL of prewarmed contrast medium (Ultravist 370; Bayer HealthCare, Berlin, Germany). CT technical parameters included: slice thickness, 0.6 mm; interval, 0.3 mm; matrix size, 512 × 512; and field of view, 14–19 cm. A C-filter algorithm of reconstruction was applied.

Carotid Endarterectomy

Two vascular surgeons (R.M. and R.S., with 25 and 16 years of experience, respectively) performed all the CEA procedures by using the “en-bloc” technique by scoring the outer media and adventitia with a scalpel and then removing the plaque as an intact tube. This approach was adopted to reduce the manipulation of the carotid artery and avoid the potential rupture/fragmentation of the plaque.

In our hospital, patients underwent CEA according to the recommendations by the Asymptomatic Carotid Atherosclerosis Study (ACAS),22 NASCET,19 Stroke Prevention and Educational Awareness Diffusion (SPREAD),23 and European Carotid Surgery Trial (ECST)3 after the exclusion of a cardioembolic source of embolism.

Histologic Analysis of the Plaque

The methods used for the plaque processing and histologic analysis have been described in a previously published paper.20 In summary, the histologic analysis was performed by 2 histologists (G.F. and L.L., with 22 and 5 years of experience, respectively) who were blinded to the radiologic findings. After the CEA, the excised “en-bloc” plaque is immediately fixed in formalin, and it is sent to the laboratory directly after the surgical procedure. Carotid plaques were decalcified and embedded in paraffin wax. None of the CEA specimens showed disruption of the luminal surface of the plaque. The portion of the specimen that showed the carotid plaque was divided transversely in sections having 3 mm intervals that were air-dried at 60°C for 45 minutes. After this phase, paraffin was removed by xylol, and the sections were hydrated. Finally, endogenous peroxidase activity was blocked by 2% hydrogen peroxide (H2O2). The transverse sections were subjected to histologic examination to identify the plaque components. Because the main focus of the study was to assess the attenuation characteristics of IPH, special care was used in the identification of IPH. Finally, according to the histologic characteristics, the plaque of each slice was categorized into one of 4 groups: IPH, lipid-rich necrotic core (LRNC), fibrous, and calcified.

Co-Registration and Histology Matching

The co-registration between CTA and histologic slices represents a key point of this paper, and special care was dedicated to avoid misregistration. After the selection of the CTA slice, the corresponding histologic section was identified by considering the following parameters: distance from the carotid bifurcation, lumen shape, and presence of prominent areas of calcification. In particular, the location of the bifurcation was identified to measure the length in the z-axis correctly. Moreover, given the difference in thickness between the MDCTA image sections (0.625 mm) and the histologic cross sections (5 μm), to further validate, 2–3 histologic sections were compared with 1 cross-sectional MDCTA image on the basis of the relative distance from the bifurcation.

IPH and Plaque Analysis Quantification

Two radiologists (L.S. and M.F., with 11 and 8 years of experience in CTA, respectively) performed all measurements of Hounsfield units (HU) by using as window-level settings a width of 850 and length of 300.24 In this study, the registration phase between CT and histologic slices was fundamental, and special care was used. The CT analysis was performed in 3 different phases. The first one was conducted with both radiologists in consensus to assess the image quality of the datasets and exclude those carotid arteries that showed dental streak artifacts or movement artifacts that reduced the image quality. The second and third phases were performed with radiologists who worked independently.

In the second phase, the angiographic dataset was assessed; radiologists had histopathologic sections as well as the spatial coordinates (slice number – Z distance from the carotid bifurcation), and they were asked to trace a circular or elliptical ROI (≥ 1 mm2 and ≤2 mm2) in the plaque and to quantify the HU attenuation values in the analyzed slice. The shape of the vessel wall and the lumen as well as the location of the bifurcation and the presence of calcifications in the plaque were used for matching. The procedures were repeated for each slice of each patient where it was possible to trace an ROI of at least 1 mm2.

In the third phase, radiologists selected the basal scan dataset and identified the same slice corresponding to the angiographic phase. To reach a correct registration between basal and angiographic datasets, they visually verified if the slices were registered or if it was necessary to select another slice along the z-axis. After this “matching phase,” the same ROI used in the contrast phase (duplicate option) was positioned in the same position of the plaque to measure the attenuation values (Fig 1).

Fig 1.
Fig 1.

A 67-year-old male patient. The images acquired before (A) and after the administration of contrast material (B) clearly show the carotid artery plaques. The ROI analyses before (C) and after the administration of contrast material (D) show the HU attenuation of the plaque (13.267 HU and 14.067 HU, respectively). In panel E, the corresponding histologic slice is given.

Statistical Analysis

In this study, the normality of each continuous variable group was tested by using the Kolmogorov-Smirnov Z test, and appropriate tests for Gaussian or non-Gaussian values were selected. The Bland-Altman plot was calculated between the 2 readers to test the attenuation values, and the averaged value for each section was considered for the analysis. The Mann-Whitney test was calculated to test the difference of attenuation values between the different categories (IPH, LRNC, and fibrous tissue). Receiver operating characteristic curve analysis was performed, and the model was characterized by the area under the receiver operating characteristic curve (Az) with 95% CIs to test the relationship between HU attenuation values in the ROI and IPH. Moreover, thresholds derived from the ROC analysis were calculated. The Wilcoxon test was applied to test the difference of attenuation values before and after administration of contrast material for the plaques (IPH, LRNC, and fibrous).

A P value <.05 was regarded as indicating a statistically significant association, and all values were calculated by using a 2-tailed significance level. R statistical and computing software (www.r-project.org) was used for statistical analyses.

Results

General Results

The mean time interval between CT and CEA was 9 days (range, 3–14 days). No patients were excluded from the analysis. Twenty-six cases of IPH were found (prevalence of 23.08%), and another 21 had LRNC without IPH (prevalence 23.07%). In 5 cases, along the length of the plaque, there were histologic slices with LRNC and other slices with IPH (prevalence of 5.45%). The other 39 plaques did not show IPH or LRNC and were mainly calcified (n = 24) or characterized by fibrous tissue or myofibroblast proliferation (n = 15).

In our cohort, we found 29 asymptomatic patients and 62 symptomatic patients. (In the 62 symptomatic patients, 25 strokes, 24 transient ischemic attacks, and 13 cases of amaurosis fugax were observed.) The analysis of the association between IPH and the presence of cerebrovascular symptoms (including the 5 plaques where some histologic slices had LRNC and others had IPH for a total of 31 subjects with IPH) revealed an association between plaques with IPH and symptoms with a P value of .02 (17% of IPH in asymptomatic subjects [5/29] and 42% of IPH in symptomatic subjects [26/62]).

A total of 435 histologic slices were recorded and measured (the median number for each plaque was 5, ranging from 3–12). We excluded 61 histologic sections because of suboptimal quality. Another 129 histologic sections were excluded because they were mainly calcified plaques, and in another 63 cases, a small amount of calcium was found in the histopathologic examinations. Therefore, 253 histologic sections were excluded.

Radiologists performed the CT matching in the remaining 182 histologic slices. They excluded 2 patients (with a total of 7 histologic slices) because of streak artifacts and 1 patient who had movement artifacts (6 histologic slices). The final number of assessed slices was 169 (59 IPH, 63 LRNC, and 47 fibrous).

Plaque Analysis

Table 1 summarizes the results of the attenuation values according to the histologic types in the arterial and venous phases. The average values of the IPH were 17.475 HU and 18.407 HU before and after the administration of contrast material, respectively. The average values of the LRNC were 39.476 HU and 48.048 HU before and after the administration of contrast material, respectively, whereas for the fibrous plaque, the average values were 91.66 HU and 93.128 HU before and after the administration of contrast material.

View this table:
Table 1:

Summary of attenuation values

We found that the category that showed the bigger enhancement was the LRNC (average increase of 8.54 HU) followed by fibrous tissue (1.468 HU), whereas the IPH showed the smaller variation (average increase, 0.932). The concordance between the readers (measured by Bland-Altman plots) was good, with a systematic error (1.96 SD) between −2 HU and +3 HU for IPH, between −4 HU and +5 HU for LRNC, and between −6 HU and +12 for fibrous tissue.

Mann-Whitney Test

By comparing the attenuation values among the 3 different analyzed categories (IPH, LRNC, and fibrous), we found that there was a statistically significant difference of HU values both before and after the administration of contrast material (Table 2). In Fig 2 a boxplot shows the attenuation values according to the category.

View this table:
Table 2:

Mann-Whitney analysis

Fig 2.
Fig 2.

Boxplot with the attenuation values before and after the administration of contrast material according to the type of tissue.

Receiver Operating Characteristic Curve Analysis

The receiver operating characteristic curve analysis was performed to test the association between the HU attenuation and the presence or absence of IPH, shown in Fig 3. The Az for the attenuation analysis performed in the basal scan was 0.944, whereas the Az after the administration of contrast medium was 0.978 (difference between the Az; P = .026). From the receiver operating characteristic curve analysis, we also tested multiple thresholds to identify the best combination of sensitivity and specificity value (Table 3). We found that a threshold of 25 HU in the plaque (in the dataset after administration of contrast material) has a sensitivity of 93.22% and a specificity of 92.73% for the presence of IPH.

Fig 3.
Fig 3.

Receiver operating characteristic curve analysis that shows the Az of the attenuation (basal and after the administration of contrast medium) versus the presence/absence of IPH.

View this table:
Table 3:

Threshold analysis

Wilcoxon Analysis

This test was used to check the effect of the contrast material in the plaque categories. By comparing the overall attenuation of the plaques (IPH, LRNC, and fibrous) before and after the administration of contrast medium, we found a statistically significant difference (P = .001). By assessing the attenuation of IPH, LRNC, and fibrous tissue before and after contrast medium, we found P values of .006, .0001, and .018, respectively, demonstrating that the attenuation of the plaque before and after administration of contrast material is different.

Discussion

Recent published studies have demonstrated that the presence of IPH is related to an increased risk of stroke independent of the severity of luminal stenosis.25,26 Therefore, the identification of IPH represents an important step to correctly stratify the risk of potential cerebrovascular events of a subject.

CT is a widely used technique for the preoperative assessment of the subject, which allows for obtaining information related to other features related to the plaque's vulnerability such as the presence of ulcerations or large plaque volume.13,27 It is important to remember that because of the radiation delivered, CT is not considered the best tool for follow-up of patients with carotid artery stenosis (unlike ultrasound), and that is one of its main limitations as a diagnostic tool; however, the improvement in CT technology with the introduction of dose-reduction techniques results in a viable option. The purpose of this study was to assess the CT characteristics of IPH with histopathologic correlation to identify features that allow for confirming or ruling out the IPH.

To obtain correct data, our readers (histologists and radiologists) gave special attention to excluding all those slices or CT datasets that were not optimal from a technical point of view. Moreover, the calcified plaques or those plaques with a visible cluster of calcium were excluded. First, the identification of the calcium is extremely easy thanks to the big attenuation that this tissue produces in the x-rays. For the same reason, those histologic slices where calcium was visible in small amounts were excluded. From the original 435 histologic slices, radiologists analyzed 169 slices (38.9%).

We found that the average value of the IPH was extremely low, with an average basal value of 17.475 HU and average value of 18.407 HU after the administration of contrast medium. In 2009, Adjuk et al28 found that the attenuation values of the American Heart Association plaque VIb (confluent extracellular lipid core complicated by hemorrhage) was lower compared with the other types of plaque, with an average value of 22 HU compared with 59 HU for the other types of plaques, and these data were confirmed in a further publication performed by the same group in 2013.29 Our values are lower compared with those found by Adjuk et al,28,29 and we think that this can be attributed to 2 different causes. First, the different selection criteria; in fact, we excluded all those plaques that also had a small cluster of calcium that can justify the raised attenuation values in the work of Adjuk et al.28,29 Second, we did not considered histologic slices with LRNC and IPH, but only those 2 features independently; this approach may explain the lower attenuation values of our observations. In addition, a study published by de Weert et al30 in 2006 demonstrated that the presence of very hypoattenuated areas was associated with the presence of plaques complicated by hemorrhage (<30 HU).

We also compared the attenuation values among the 3 different analyzed categories (IPH, LRNC, and fibrous), and we found that there was a statistically significant difference of HU values (Table 2). This result demonstrates that the attenuation values are different from the attenuation of LRNC and fibrous tissue. In particular, hemorrhage has significantly lower attenuation values compared with the other categories of tissues.

The receiver operating characteristic curve analysis confirmed the strength of the association between the hypoattenuated values and presence of IPH (Az = 0.944 in basal analysis and 0.978 after contrast medium), and by considering a threshold value of 25 HU (in the scans obtained after the administration of contrast material), we obtained a sensitivity of 93.22% and a specificity of 92.73% for the presence of IPH. These results demonstrated that it is possible to identify an attenuation threshold by identifying the presence of IPH.

Our results are different from those observed by U-King-Im et al31 where the authors compared CTA and IPH detected by MR imaging and found that mean CT plaque attenuation was higher for plaques with MR imaging–defined IPH (47 HU) compared with plaques without IPH (43 HU). Moreover, they found a significant overlap between the distributions of plaque densities by concluding that mean plaque attenuation is of limited value in distinguishing between the 2 groups. The differences between our results and the paper by U-King-Im et al31 can be explained by the different methodology applied. They used as reference standard MR-defined IPH, whereas we considered the histopathologic slices. We excluded from the analysis all the slices where a cluster of calcium was identified, and this explains the average lower CT values found in our study in those plaques with IPH. Moreover, we considered multiple sections for each plaque according to the histopathologic category, and this is important because we found 10 plaques where there were areas with IPH and others without IPH. These findings confirm that in the same plaques, there exist different tissues, and they are not always represented in a single axial section. For this reason, we suggest readers check the entire length of the plaque and not only the thickened point and assess with ROIs having different levels of the plaque. This is a significant point because the plaques show a spatial heterogeneity other than a temporal variability; therefore, the plaque should be considered a dynamic process, and lack of IPH doesn't mean that sometime in the future IPH cannot appear.

We also tested the difference in attenuation before and after the administration of contrast medium and found that there was a statistically significant difference (.006, .0001, and .018 for IPH, LRNC, and fibrous tissue, respectively), by confirming the fact that the contrast material plays an important role in the attenuation values of the carotid artery plaques.32⇓–34

In this study, there are some limitations. First, this is a retrospective study, and this approach may determine a bias; however, it is our opinion this can be a considered a minor limitation because our focus was to assess the attenuation value of the IPH, and we would use the same paradigm in prospective approach. Second, the registration between histologic sections and the CT dataset is fundamental to obtain correct as well as relevant data. We tried to use our experience and all the potential tools to overcome the problems related to the registration (spatial registration features, manual and experienced correction, and the use of 2 different readers). However, there are some limits that are not possible to solve, in particular, the fact that the histologic preparation leads to plaque shrinkage35; in the study by de Weert et al,30 the total plaque area acquired in MDCTA images was 30% larger than the histologic total plaque area.

Conclusions

The results of this preliminary study suggest that CT can be used to identify the presence of IPH according to the attenuation. A threshold of 25 HU in the volume acquired after the administration of contrast medium is associated with an optimal sensitivity and specificity. Special care should be given to the correct identification of the area to place the ROI.

Footnotes

  • Disclosures: Marco Francone—UNRELATED: Payment for Lectures Including Service On Speakers Bureaus: Bracco Medical Imaging. Carlo Nicola De Cecco—UNRELATED: Grants/Grants Pending: Siemens*. *Money paid to the institution.

References

  1. 1.↵
    2. Kwee RM,
    3. van Oostenbrugge RJ,
    4. Mess WH, et al
    . MRI of carotid atherosclerosis to identify TIA and stroke patients who are at risk of a recurrence. J Magn Reson Imaging 2013;37:1189–94 doi:10.1002/jmri.23918 pmid:23166040
    CrossRefPubMed
  2. 2.↵
    2. Mono ML,
    3. Karameshev A,
    4. Slotboom J, et al
    . Plaque characteristics of asymptomatic carotid stenosis and risk of stroke. Cerebrovasc Dis 2012;34:343–50 doi:10.1159/000343227 pmid:23154753
    CrossRefPubMed
  3. 3.↵
    2. Kurosaki Y,
    3. Yoshida K,
    4. Endo H, et al
    . Association between carotid atherosclerosis plaque with high signal intensity on T1-weighted imaging and subsequent ipsilateral ischemic events. Neurosurgery 2011;68:62–67; discussion 67 doi:10.1227/NEU.0b013e3181fc60a8 pmid:21099723
    CrossRefPubMed
  4. 4.↵
    2. Demarco JK,
    3. Huston J 3rd.
    . Imaging of high-risk carotid artery plaques: current status and future directions. Neurosurg Focus 2014;36:E1 doi:10.3171/2013.10.FOCUS13384 pmid:24380475
    CrossRefPubMed
  5. 5.↵
    2. Peeters W,
    3. Hellings WE,
    4. de Kleijn DP, et al
    . Carotid atherosclerotic plaques stabilize after stroke: insights into the natural process of atherosclerotic plaque stabilization. Arterioscler Thromb Vasc Biol 2009;29:128–33 doi:10.1161/ATVBAHA.108.173658 pmid:18931283
    Abstract/FREE Full Text
  6. 6.↵
    2. Hellings WE,
    3. Peeters W,
    4. Moll FL, et al
    . Composition of carotid atherosclerotic plaque is associated with cardiovascular outcome: a prognostic study. Circulation 2010;121:1941–50 doi:10.1161/CIRCULATIONAHA.109.887497 pmid:20404256
    Abstract/FREE Full Text
  7. 7.↵
    2. Moody AR,
    3. Allder S,
    4. Lennox G, et al
    . Direct magnetic resonance imaging of carotid artery thrombus in acute stroke. Lancet 1999;353:122–23 doi:10.1016/S0140-6736(05)76159-6 pmid:10023906
    CrossRefPubMed
  8. 8.↵
    2. Daniels LR,
    3. Gladman JR,
    4. Altaf N, et al
    . Magnetic resonance direct thrombus imaging in moderate carotid artery stenosis. Stroke 2006;37:767–68 doi:10.1161/01.STR.0000204239.49586.55 pmid:16505346
    FREE Full Text
  9. 9.↵
    2. Millon A,
    3. Mathevet JL,
    4. Boussel L, et al
    . High-resolution magnetic resonance imaging of carotid atherosclerosis identifies vulnerable carotid plaques. J Vasc Surg 2013;57:1046–51.e2 doi:10.1016/j.jvs.2012.10.088 pmid:23375613
    CrossRefPubMed
  10. 10.↵
    2. Saam T,
    3. Hetterich H,
    4. Hoffmann V, et al
    . Meta-analysis and systematic review of the predictive value of carotid plaque hemorrhage on cerebrovascular events by magnetic resonance imaging. J Am Coll Cardiol 2013;62:1081–91 doi:10.1016/j.jacc.2013.06.015 pmid:23850912
    FREE Full Text
  11. 11.↵
    2. Anzidei M,
    3. Napoli A,
    4. Zaccagna F, et al
    . Diagnostic accuracy of colour Doppler ultrasonography, CT angiography and blood-pool-enhanced MR angiography in assessing carotid stenosis: a comparative study with DSA in 170 patients. Radiol Med 2012;117:54–71 doi:10.1007/s11547-011-0651-3 pmid:21424318
    CrossRefPubMed
  12. 12.↵
    2. Lell M,
    3. Fellner C,
    4. Baum U, et al
    . Evaluation of carotid artery stenosis with multisection CT and MR imaging: influence of imaging modality and postprocessing. AJNR Am J Neuroradiol 2007;28:104–10 pmid:17213434
    Abstract/FREE Full Text
  13. 13.↵
    2. van den Bouwhuijsen QJ,
    3. Bos D,
    4. Ikram MA, et al
    . Coexistence of calcification, intraplaque hemorrhage and lipid core within the asymptomatic atherosclerotic carotid plaque: The Rotterdam Study. Cerebrovasc Dis 2015;39:319–24 doi:10.1159/000381138 pmid:25966822
    CrossRefPubMed
  14. 14.↵
    2. Saba L,
    3. Raz E,
    4. Anzidei M, et al
    . Differences in plaque morphology and correlation of stenosis at the carotid artery bifurcation and the carotid siphon. AJR Am J Roentgenol 2013;201:1108–14 doi:10.2214/AJR.12.10213 pmid:24147484
    CrossRefPubMed
  15. 15.↵
    2. Homburg PJ,
    3. Rozie S,
    4. van Gils MJ, et al
    . Atherosclerotic plaque ulceration in the symptomatic internal carotid artery is associated with nonlacunar ischemic stroke. Stroke 2010;41:1151–56 doi:10.1161/STROKEAHA.109.576256 pmid:20413739
    Abstract/FREE Full Text
  16. 16.↵
    2. Saba L,
    3. Caddeo G,
    4. Sanfilippo R, et al
    . CT and ultrasound in the study of ulcerated carotid plaque compared with surgical results: potentialities and advantages of multidetector row CT angiography. AJNR Am J Neuroradiol 2007;28:1061–66 doi:10.3174/ajnr.A0486 pmid:17569958
    Abstract/FREE Full Text
  17. 17.↵
    2. Saba L,
    3. Sanfilippo R,
    4. Montisci R, et al
    . Agreement between multidetector-row CT angiography and ultrasound echo-color Doppler in the evaluation of carotid artery stenosis. Cerebrovasc Dis 2008;26:525–32 doi:10.1159/000160209 pmid:18836263
    CrossRefPubMed
  18. 18.↵
    2. Saba L,
    3. Sanfilippo R,
    4. Pascalis L, et al
    . Carotid artery wall thickness and ischemic symptoms: evaluation using multi-detector-row CT angiography. Eur Radiol 2008;18:1962–71 doi:10.1007/s00330-008-0962-5 pmid:18404269
    CrossRefPubMed
  19. 19.↵
    North American Symptomatic Carotid Endarterectomy Trial Collaborators. Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. N Engl J Med 1991;325:445–53 doi:10.1056/NEJM199108153250701 pmid:1852179
    CrossRefPubMed
  20. 20.↵
    2. Saba L,
    3. Tamponi E,
    4. Raz E, et al
    . Correlation between fissured fibrous cap and contrast enhancement: preliminary results with the use of CTA and histologic validation. AJNR Am J Neuroradiol 2014;35:754–59 doi:10.3174/ajnr.A3759 pmid:24157737
    Abstract/FREE Full Text
  21. 21.↵
    2. Saba L,
    3. Raz E,
    4. Grassi R, et al
    . Association between the volume of carotid artery plaque and its subcomponents and the volume of white matter lesions in patients selected for endarterectomy. AJR Am J Roentgenol 2013;201:W747–52 doi:10.2214/AJR.12.10217 pmid:24147504
    CrossRefPubMed
  22. 22.↵
    Executive Committee for the Asymptomatic Carotid Atherosclerosis Study. Endarterectomy for asymptomatic carotid artery stenosis. JAMA 1995;273:1421–28 doi:10.1001/jama.273.18.1421 pmid:7723155
    CrossRefPubMed
  23. 23.↵
    2. Setacci C,
    3. Lanza G,
    4. Ricci S, et al
    . SPREAD Italian guidelines for stroke. Indications for carotid endarterectomy and stenting. J Cardiovasc Surg (Torino) 2009;50:171–82 pmid:19329914
    PubMed
  24. 24.↵
    2. Saba L,
    3. Mallarin G
    . Window settings for the study of calcified carotid plaques with multidetector CT angiography. AJNR Am J Neuroradiol 2009;30:1445–50 doi:10.3174/ajnr.A1509 pmid:19299487
    Abstract/FREE Full Text
  25. 25.↵
    2. Parmar JP,
    3. Rogers WJ,
    4. Mugler JP 3rd., et al
    . Magnetic resonance imaging of carotid atherosclerotic plaque in clinically suspected acute transient ischemic attack and acute ischemic stroke. Circulation 2010;122:2031–38 doi:10.1161/CIRCULATIONAHA.109.866053 pmid:21041694
    Abstract/FREE Full Text
  26. 26.↵
    2. Takaya N,
    3. Yuan C,
    4. Chu B, et al
    . Presence of intraplaque hemorrhage stimulates progression of carotid atherosclerotic plaques: a high-resolution magnetic resonance imaging study. Circulation 2005;111:2768–75 doi:10.1161/CIRCULATIONAHA.104.504167 pmid:15911695
    Abstract/FREE Full Text
  27. 27.↵
    2. Rozie S,
    3. de Weert TT,
    4. de Monyé C, et al
    . Atherosclerotic plaque volume and composition in symptomatic carotid arteries assessed with multidetector CT angiography; relationship with severity of stenosis and cardiovascular risk factors. Eur Radiol 2009;19:2294–301 doi:10.1007/s00330-009-1394-6 pmid:19384548
    CrossRefPubMed
  28. 28.↵
    2. Ajduk M,
    3. Pavić L,
    4. Bulimbasić S, et al
    . Multidetector-row computed tomography in evaluation of atherosclerotic carotid plaques complicated with intraplaque hemorrhage. Ann Vasc Surg 2009;23:186–93 doi:10.1016/j.avsg.2008.05.008 pmid:18657388
    CrossRefPubMed
  29. 29.↵
    2. Ajduk M,
    3. Bulimbasić S,
    4. Pavić L, et al
    . Comparison of multidetector-row computed tomography and duplex Doppler ultrasonography in detecting atherosclerotic carotid plaques complicated with intraplaque hemorrhage. Coll Antropol 2013;37:213–29 pmid:23697276
    PubMed
  30. 30.↵
    2. de Weert TT,
    3. Ouhlous M,
    4. Meijering E, et al
    . In vivo characterization and quantification of atherosclerotic carotid plaque components with multidetector computed tomography and histopathological correlation. Arterioscler Thromb Vasc Biol 2006;26:2366–72 doi:10.1161/01.ATV.0000240518.90124.57 pmid:16902158
    Abstract/FREE Full Text
  31. 31.↵
    2. U-King-Im JM,
    3. Fox AJ,
    4. Aviv RI, et al
    . Characterization of carotid plaque hemorrhage: a CT angiography and MR intraplaque hemorrhage study. Stroke 2010;41:1623–29 doi:10.1161/STROKEAHA.110.579474 pmid:20576955
    Abstract/FREE Full Text
  32. 32.↵
    2. Saba L,
    3. Lai ML,
    4. Montisci R, et al
    . Association between carotid plaque enhancement shown by multidetector CT angiography and histologically validated microvessel density. Eur Radiol 2012;22:2237–45 doi:10.1007/s00330-012-2467-5 pmid:22572988
    CrossRefPubMed
  33. 33.↵
    2. Saba L,
    3. Piga M,
    4. Raz E, et al
    . Carotid artery plaque classification: does contrast enhancement play a significant role? AJNR Am J Neuroradiol 2012;33:1814–17 doi:10.3174/ajnr.A3073 pmid:22555579
    Abstract/FREE Full Text
  34. 34.↵
    2. Saba L,
    3. Mallarini G
    . Carotid plaque enhancement and symptom correlations: an evaluation by using multidetector row CT angiography. AJNR Am J Neuroradiol 2011;32:1919–25 doi:10.3174/ajnr.A2605 pmid:21868620
    Abstract/FREE Full Text
  35. 35.↵
    2. Dobrin PB
    . Effect of histologic preparation on the cross-sectional area of arterial rings. J Surg Res 1996;61:413–15 doi:10.1006/jsre.1996.0138 pmid:8656617
    CrossRefPubMed
  • Received April 10, 2017.
  • Accepted after revision August 20, 2017.
View Abstract
Back to top

In this issue

Advertisement
Print
Download PDF
Email Article
Citation Tools
CT Attenuation Analysis of Carotid Intraplaque Hemorrhage
L. Saba, M. Francone, P.P. Bassareo, L. Lai, R. Sanfilippo, R. Montisci, J.S. Suri, C.N. De Cecco, G. Faa
American Journal of Neuroradiology Jan 2018, 39 (1) 131-137; DOI: 10.3174/ajnr.A5461
Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo

Jump to section

Advertisement