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非钙化粥样硬化性动脉斑块的 CT-病理相关性:一项使用颈动脉内膜切除术标本的研究。

CT-pathologic correlation of non-calcified atherosclerotic arterial plaques: a study using carotid endarterectomy specimens.

机构信息

Department of Radiology, National Hospital Organization Osaka National Hospital, Osaka, Japan.

Department of Radiology, National Cerebral and Cardiovascular Center, Suita, Japan.

出版信息

Br J Radiol. 2020 May 1;93(1109):20190901. doi: 10.1259/bjr.20190901. Epub 2020 Feb 7.

Abstract

OBJECTIVE

Pathologic features of atherosclerotic plaques on CT are not established. We compared CT values among pathologically confirmed plaque constituents and evaluated their ability to distinguish plaque constituents.

METHODS

50 histopathological images of carotid endarterectomy samples from 10 males and 2 females (age 54-74 years, average 65.9 years) were examined. We compared pre-operative CT [pre-contrast (CT-P), early post-contrast phase (CT-E), delayed post-contrast phase (CT-D)] of lipid-rich necrotic core (NC) and fibrous tissue (F) plaque components with pathological images. The ability of features to differentiate plaque components using several discrimination techniques were compared.

RESULTS

CT values of NC and F were 36 ± 13, 45 ± 11 (mean ± standard deviation, Hounsfield unit, HU), 41 ± 17, 69 ± 18, and 44 ± 16, 70 ± 13 in CT-P ( < 0.01), CT-E ( < 0.0001), and CT-D ( < 0.0001), respectively. The threshold, sensitivity, and accuracy for distinguishing NC from F were 44 HU, 74%, and 68%; 55 HU, 85%, and 85%; and 63 HU, 92%, and 84% in CTP, CT-E, and CT-D, respectively. CT-P had lower accuracy than CT-E and CT-D (both < 0.05), but CT-E and CT-D were similar. CT-E and CT-D yielded 90 and 91% sensitivity and accuracy, respectively in linear discrimination analysis.

CONCLUSION

In both pre- and post-contrast CT, CT values were lower in NC than F. Although values overlapped, using two-phase post-contrast CTs improved discrimination ability.

ADVANCES IN KNOWLEDGE

Our findings may help to establish computer-aided diagnosis of vulnerable atherosclerotic plaques in future.

摘要

目的

动脉粥样硬化斑块的 CT 病理特征尚未确定。我们比较了病理证实的斑块成分的 CT 值,并评估了它们区分斑块成分的能力。

方法

检查了 10 名男性和 2 名女性(年龄 54-74 岁,平均 65.9 岁)颈动脉内膜切除术样本的 50 张组织病理学图像。我们比较了富含脂质的坏死核心(NC)和纤维组织(F)斑块成分的术前 CT(造影前 [CT-P]、早期造影后 [CT-E]、延迟造影后 [CT-D])与病理图像。比较了几种鉴别技术对特征区分斑块成分的能力。

结果

NC 和 F 的 CT 值分别为 36 ± 13、45 ± 11(均值 ± 标准差,Hounsfield 单位,HU)、41 ± 17、69 ± 18 和 44 ± 16、70 ± 13 在 CT-P(<0.01)、CT-E(<0.0001)和 CT-D(<0.0001)中。鉴别 NC 和 F 的阈值、灵敏度和准确率分别为 44 HU、74%和 68%;55 HU、85%和 85%;63 HU、92%和 84%在 CTP、CT-E 和 CT-D 中。CT-P 的准确性低于 CT-E 和 CT-D(均<0.05),但 CT-E 和 CT-D 相似。CT-E 和 CT-D 在线性判别分析中分别产生 90%和 91%的灵敏度和准确率。

结论

在造影前和造影后 CT 中,NC 的 CT 值均低于 F。虽然值有重叠,但使用双相造影后 CT 可提高鉴别能力。

知识进步

我们的研究结果可能有助于未来建立计算机辅助诊断易损性动脉粥样硬化斑块。

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Plaque Rupture in Coronary Atherosclerosis Is Associated With Increased Plaque Structural Stress.
JACC Cardiovasc Imaging. 2017 Dec;10(12):1472-1483. doi: 10.1016/j.jcmg.2017.04.017. Epub 2017 Jul 19.
2
Dose reduction potential of iterative reconstruction algorithms in neck CTA-a simulation study.
Dentomaxillofac Radiol. 2016 Oct;45(8):20160228. doi: 10.1259/dmfr.20160228. Epub 2016 Aug 19.
3
Advances in MRI for the evaluation of carotid atherosclerosis.
Br J Radiol. 2015 Aug;88(1052):20140282. doi: 10.1259/bjr.20140282. Epub 2015 Mar 31.
4
Detection of carotid artery stenosis: a comparison between 2 unenhanced MRAs and dual-source CTA.
AJNR Am J Neuroradiol. 2014 Dec;35(12):2360-5. doi: 10.3174/ajnr.A4073. Epub 2014 Aug 7.
5
Mechanisms of plaque formation and rupture.
Circ Res. 2014 Jun 6;114(12):1852-66. doi: 10.1161/CIRCRESAHA.114.302721.
6
Automated subtraction CT angiography for visualization of the whole brain vasculature: a feasibility study.
Acad Radiol. 2013 Aug;20(8):1009-14. doi: 10.1016/j.acra.2013.04.008. Epub 2013 Jun 5.
7
MRI of carotid atherosclerosis.
AJR Am J Roentgenol. 2013 Mar;200(3):W304-13. doi: 10.2214/AJR.12.8665.
8
Carotid plaque enhancement and symptom correlations: an evaluation by using multidetector row CT angiography.
AJNR Am J Neuroradiol. 2011 Nov-Dec;32(10):1919-25. doi: 10.3174/ajnr.A2605. Epub 2011 Aug 25.

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