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三级医疗保健机构中腹主动脉疾病的谱:基于MDCT的观察性研究。

Spectrum of Abdominal Aortic Disease in a Tertiary Health Care Setup: MDCT Based Observational Study.

作者信息

Kumar Dg Santosh, Bhat Venkatraman, Gadabanahalli Karthik, Kalyanpur Arjun

机构信息

Consultant Radiologist, Narayana Health, Shaw Mazumdar Medical Center , Bengaluru, Karnataka, India .

Director of Imaging Services, Sr. Consultant, Department of Radiology, Narayana Health, Shaw Mazumdar Medical Center , Bengaluru, Karnataka, India .

出版信息

J Clin Diagn Res. 2016 Nov;10(11):TC24-TC29. doi: 10.7860/JCDR/2016/21373.8928. Epub 2016 Nov 1.

Abstract

INTRODUCTION

Abdominal aortic disease is an important cause of clinical disability that requires early detection by imaging methods for prompt and effective management. Understanding regional disease pattern and prevalence has a bearing on healthcare management and resource planning. Non-invasive, conclusive imaging strategy plays an important role in the detection of disease. Multi-Detector Computed Tomography (MDCT) with its technological developments provides affordable, accurate and comprehensive imaging solution.

AIM

To evaluate regional demography of abdominal aortic disease spectrum detected using MDCT imaging data in a tertiary hospital.

MATERIALS AND METHODS

A descriptive study was conducted based on MDCT imaging data of patients who were investigated with clinical diagnosis of abdominal aortic disease, from March 2008-2010, over a period of 24 months. Patients were examined with the contrast-enhanced MDCT examination. Morphological diagnosis of the aortic disease was based on changes in relative aortic caliber, luminal irregularity, presence of wall calcification, dissection or thrombus and evidence of major branch occlusion. Patients were categorized into four groups based on imaging findings. MDCT information and associated clinical parameters were examined and correlated to management of patient. Descriptive statistical data, namely mean, standard deviation and frequency of disease were evaluated.

RESULTS

A total of 90 out of 210 patients (43%) were detected with the abdominal aortic abnormality defined by imaging criteria. Group I, comprising of patients with atherosclerosis -including those with complications, constituted 65.5% of the patients. Group II represented patients with aneurysms (45.5%). Group III, consisting of 32.2% of the patients, contained those with dissections. The rest of the patients, including patients with aorto-arteritis, were classified as group IV. Eight patients with aneurysm and one patient with aorto-arteritis were considered for surgical treatment. Ten patients with dissection underwent endovascular procedure. Rest of the patients was managed conservatively.

CONCLUSION

Aortic disease was observed in 43% of investigated patients. Atherosclerosis with and without aortic aneurysm constituted the largest group. MDCT provided comprehensive information about the lesion and associated complications. In view of the wider availability and desired imaging qualities, MDCT provided optimal information for diagnosis and management of aortic pathology. Majority of our patients (90%) were treated conservatively.

摘要

引言

腹主动脉疾病是导致临床残疾的重要原因,需要通过影像学方法进行早期检测,以便及时有效地进行治疗。了解区域疾病模式和患病率对医疗管理和资源规划具有重要意义。非侵入性、确定性的成像策略在疾病检测中起着重要作用。随着技术的发展,多排螺旋计算机断层扫描(MDCT)提供了经济实惠、准确且全面的成像解决方案。

目的

利用一家三级医院的MDCT成像数据评估腹主动脉疾病谱的区域人口统计学特征。

材料与方法

基于2008年3月至2010年期间24个月内临床诊断为腹主动脉疾病的患者的MDCT成像数据进行描述性研究。患者接受了增强MDCT检查。主动脉疾病的形态学诊断基于相对主动脉管径的变化、管腔不规则、壁钙化、夹层或血栓的存在以及主要分支闭塞的证据。根据影像学表现将患者分为四组。对MDCT信息和相关临床参数进行检查,并与患者的治疗进行关联。评估描述性统计数据,即疾病的平均值、标准差和频率。

结果

210名患者中有90名(43%)通过影像学标准检测出腹主动脉异常。第一组包括患有动脉粥样硬化(包括有并发症的患者),占患者总数的65.5%。第二组代表患有动脉瘤的患者(45.5%)。第三组占患者总数的32.2%,包括患有夹层的患者。其余患者,包括患有大动脉炎的患者,被归类为第四组。8名动脉瘤患者和1名大动脉炎患者接受了手术治疗。10名夹层患者接受了血管内介入治疗。其余患者接受保守治疗。

结论

43%的受调查患者观察到主动脉疾病。有或无主动脉瘤的动脉粥样硬化构成最大的组。MDCT提供了有关病变及相关并发症的全面信息。鉴于其更广泛的可用性和理想的成像质量,MDCT为主动脉病变的诊断和治疗提供了最佳信息。我们的大多数患者(90%)接受了保守治疗。

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Circ Res. 2016 Feb 19;118(4):750-69. doi: 10.1161/CIRCRESAHA.115.306247.
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Unstable abdominal aortic aneurysms: a review of MDCT imaging features.不稳定型腹主动脉瘤:MDCT成像特征综述
Emerg Radiol. 2016 Apr;23(2):187-96. doi: 10.1007/s10140-015-1374-x. Epub 2016 Jan 21.
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Three-dimensional contrast-enhanced MR angiography of aortic dissection: a pictorial essay.
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