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Application Value of High-resolution Vessel Wall Imaging for Quantitative Analysis of Lipid-rich Necrotic
Mengjiao Wei1, Yang Gao1, Qiong Wu1, Shaoyu Wang2, and Huapeng Zhang2
1Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China

Synopsis

This study investigated the feasibility and accuracy of the maximum wall thickness(MWT), the lipid-rich necrotic core percentage(%LRNC) and the carotid atherosclerosis (CAS) score to predict stroke and diagnose vulnerable plaques. Our results showed that quantitative lipid-rich necrotic core can effectively diagnose vulnerable plaques and predict the risk of stroke, in addition, the CAS score can simply grade carotid artery plaques and provide a basis for clinical diagnosis and treatment.

Purpose

The large lipid-rich necrotic core is one of the typical vulnerable features of plaques[1]. The purpose of this study was to investigate the accuracy of the quantitative analysis of lipid-rich necrotic core in the diagnosis of carotid artery vulnerable plaques and to evaluate its predictive value for stroke.

Methods

In this study, thirty-one patients prepared for carotid endarterectomy(CEA) were recruited, then they were divided into stroke group and non-stroke group[2]. All patients underwent high-resolution vessel wall imaging(HR-VWI) examination before surgery, and their specimens were prepared for pathological examination after surgery. The MRI examination were performed on a 3T system (MAGNETOM Skyra, Siemens Healthcare, Erlangen, Germany) with a 32-channel head/neck coil. HR-VWI was acquired using 3D time-of-flight magnetic resonance angiography(3D TOF MRA) sequence and 2D double invertion recovery black-blood sequence, 3D TOF MRA was performed with the following parameters: TR (repetition time) = 29 ms, TE (echo time) = 4 ms, 36 slices with a slice thickness of 2.0 mm, voxel size = 0.3×0.3×2.0 mm3, field of view = 160×160 mm2, acquisition time = 3 minutes 22 seconds; 2D T1WI TSE was performed with the following parameters: TR = 800 ms, TE = 10 ms, 20 slices with a slice thickness of 2.0 mm, voxel size = 0.3×0.3×2.0 mm3, field of view = 160×160 mm2, acquisition time = 3 minutes 23 seconds; 2D T2WI TSE was performed with the following parameters: TR = 3500 ms, TE = 60 ms, 20 slices with a slice thickness of 2.0 mm, voxel size = 0.3×0.3×2.0 mm3, field of view = 160×160 mm2, acquisition time = 3 minutes 46 seconds. The maximum wall thickness, the lipid-rich necrotic core percentage were measured and the CAS score[3-4] were calculated by using the VPD software (MRI-PlaqueView, Version 2017), the difference between two groups of patients was compared by using the independent four-grid table chi-square test and Mann-Whitney U test, p<0.001 was considered statistically significant; Pathological results were adopted as the gold standard, diagnostic performances of the maximum lipid-rich necrotic core were determined by receiver operating characteristic(ROC) analysis. SPSS(Version 22.0) software was used for these analysis.

Results

There were 17 patients in stroke group and 14 patients in non-stroke group, and a total of 391 levels (stroke group: 201, non-stroke group: 190) contained the lipid-rich necrotic core, the typical image is shown in figure 1. In stroke group, the distribution of levels such as the maximum wall thickness is greater than 2mm, the lipid-rich necrotic core was accounted for more than 40%, and the CAS score was higher than that of non-stroke group (χ2= 18.298, Z = -7.068, Z = -6.789, P < 0.001)(table 1, 2, figure 2, 3). The area under the ROC curve (AUC) of the maximum lipid-rich necrotic core for diagnosing vulnerable plaques is 0.910 (table 3, figure 4).

Discussion and Conclusion

This was a preliminary feasibility study of quantitative lipid-rich necrotic core for the prediction of stroke. Our results suggest that quantitative analysis of lipid-rich necrotic core is of great value for the diagnosis of vulnerable plaques and the prediction of stroke, in addition, the CAS score can be used as a simple predictor of stroke.

Acknowledgements

No acknowledgement found.

References

[1] Saba L, Yuan C, Hatsukami TS, et al. 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[J]. AJNR Am J Neuroradiol 2018;39:E9-E31.

[2] Chinese Society of Neurology, Chinese Stroke Society. Chinese guidelines for diagnosis and treatment of acuteischemic stroke 2018. Chin J Neurol 2018;51:666-682.

[3] Underhill HR, Hatsukami TS, Cai J, et al. A noninvasive imaging approach to assess plaque severity: the carotid atherosclerosis score. AJNR Am J Neuroradiol 2010;31:1068-1075.

[4] Xu D, Hippe DS, Underhill HR, et al. Prediction of high-risk plaque development and plaque progression with the carotid atherosclerosis score. JACC Cardiovasc Imaging 2014;7:366-373.


Figures


Figure 1. Typical images of the right internal carotid artery(R-ICA). (A)(B)(D)HR-VWI shows an isointensity plaque on T1WI, T2WI and TOF sequences on the right internal carotid artery wall (arrow) without postgadolinium enhancement(E). (C)3D fusion image shows that maximum lipid-rich necrotic core percentage > 40%. (F)Pathological result shows that a large amount of lipid components in the plaque.

Figure 2. The bar plot comparing the maximum lipid-rich necrotic core percentage between stroke group and non-stroke group. The bar plot shows that the distribution of two groups are concentrated below 20%, but the proportion of lipid-rich necrotic core of more than 40% in stroke group is higher than that in non-stroke group. The distribution difference between two groups is statistically significant(Z=-7.068, P<0.001).

Figure 3. The bar plot and the box plot comparing CAS scores between stroke group and non-stroke group. Compared with non-stroke group, there are more high-risk grades of plaques in stroke group and fewer low-risk grades, and the overall distribution of CAS scores in stroke group is higher than that in non-stroke group. The distribution difference between two groups is statistically significant(Z=-6.789, P<0.001).

Figure 4. Receiver operating characteristic curves of the maximum lipid-rich necrotic core percentage for diagnosing vulnerable plaques. The area under the ROC curve (AUC) is 0.910, the standard error is 0.053, the 95% confidence interval is 0.807~1.000, P<0.001. It can be proved that the maximum lipid-rich necrotic core percentage is more valuable in diagnosing vulnerable plaques.

Proc. Intl. Soc. Mag. Reson. Med. 29 (2021)
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