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日本糖尿病队列中冠状动脉钙化自动体积与一组手动测量的冠状动脉管腔体积、血管体积和动脉粥样硬化体积之间的关系

Relationship between Automated Coronary Calcium Volumes and a Set of Manual Coronary Lumen Volume, Vessel Volume and Atheroma Volume in Japanese Diabetic Cohort.

作者信息

Banchhor Sumit K, Londhe Narendra D, Saba Luca, Radeva Petia, Laird John R, Suri Jasjit S

机构信息

Research Scholar, Department of Electrical Engineering, National Institute of Technology, Raipur, Chhattisgarh, India.

Assistant Professor, Department of Electrical Engineering, National Institute of Technology, Raipur, Chhattisgarh, India.

出版信息

J Clin Diagn Res. 2017 Jun;11(6):TC09-TC14. doi: 10.7860/JCDR/2017/26336.10030. Epub 2017 Jun 1.

Abstract

INTRODUCTION

A high degree of correlation exists between Coronary Artery Diseases (CAD) and calcification of the vessel wall. For Percutaneous Coronary Interventional (PCI) planning, it is essential to have an exact understanding of the extent to which calcium volume is correlated to the lumen, vessel, and atheroma volume regions in the coronary artery, which is unclear in recent studies.

AIM

Four automated Coronary Calcium Volume (aCCV) measurement methods {threshold, Fuzzy c-Means (FCM), K-means, and Hidden Markov Random Field (HMRF)} and its correlation with three manual (experts) coronary parameters namely: Coronary Vessel Volume (mCVV), Coronary Lumen Volume (mCLV), and Coronary Atheroma Volume (mCAV), was determined in a Japanese diabetic cohort.

MATERIALS AND METHODS

Intravascular Ultrasound (IVUS) image dataset from 19 patients (around 40,090 frames) was collected using 40 MHz IVUS catheter (Atlantis SR Pro, Boston Scientific, pullback speed of 0.5 mm/sec). The methodology consisted of automatically computing the calcium volume in the entire IVUS coronary videos using FCM, K-means, and HMRF based pixel classification and comparing it against the previously published threshold-based method. The Coefficient of Correlation (CC) was then established between the four aCCV and three manually (experts) coronary parameters: mCVV, mCLV, and mCAV computed using iMAP software Boston Scientific. Statistical tests (Two-tailed paired Student t-test, Wilcoxon signed rank test, Mann-Whitney test, Chi-square test, and Kolmogorov-Smirnov KS-test) were performed to demonstrate consistency, reliability, and accuracy of the proposed work.

RESULTS

Correlation coefficient of: (a) automated threshold-based volume; (b) automated FCM based volume; (c) automated K-means based volume; and (d) automated HMRF based volume and corresponding three manually (expert's) coronary parameters (mCLV, mCVV, mCAV) were: (0.51, 0.40, 0.48), (0.52, 0.38, 0.49), (0.56, 0.45, 0.52), and (0.57, 0.42, 0.56), respectively. The CC between age and haemoglobin was 0.50.

CONCLUSION

Automated coronary volume measurement using HMRF method is more accurate compared to threshold, FCM, and K-means-based method, since it is more strongly correlated with three expert's readings.

摘要

引言

冠状动脉疾病(CAD)与血管壁钙化之间存在高度相关性。对于经皮冠状动脉介入治疗(PCI)规划而言,准确了解冠状动脉中钙体积与管腔、血管及动脉粥样硬化体积区域的相关程度至关重要,而近期研究对此尚不清楚。

目的

在一个日本糖尿病队列中,确定四种自动冠状动脉钙体积(aCCV)测量方法{阈值法、模糊c均值(FCM)法、K均值法和隐马尔可夫随机场(HMRF)法}及其与三个手动(专家)冠状动脉参数的相关性,这三个参数分别为:冠状动脉血管体积(mCVV)、冠状动脉管腔体积(mCLV)和冠状动脉粥样硬化体积(mCAV)。

材料与方法

使用40MHz血管内超声(IVUS)导管(Atlantis SR Pro,波士顿科学公司,回撤速度0.5mm/秒)收集了19名患者的IVUS图像数据集(约40,090帧)。该方法包括使用基于FCM、K均值和HMRF的像素分类自动计算整个IVUS冠状动脉视频中的钙体积,并将其与先前发表的基于阈值的方法进行比较。然后在四种aCCV与三个手动(专家)冠状动脉参数:使用波士顿科学公司的iMAP软件计算的mCVV、mCLV和mCAV之间建立相关系数(CC)。进行了统计检验(双尾配对学生t检验、威尔科克森符号秩检验、曼 - 惠特尼检验、卡方检验和柯尔莫哥洛夫 - 斯米尔诺夫KS检验)以证明所提工作的一致性、可靠性和准确性。

结果

(a)基于自动阈值的体积;(b)基于自动FCM的体积;(c)基于自动K均值的体积;(d)基于自动HMRF的体积与相应的三个手动(专家)冠状动脉参数(mCLV、mCVV、mCAV)的相关系数分别为:(0.51, 0.40, 0.48)、(0.52, 0.38, 0.49)、(0.56, 0.45, 0.52)和(0.57, 0.42, 0.56)。年龄与血红蛋白之间的CC为0.50。

结论

与基于阈值、FCM和K均值的方法相比,使用HMRF方法进行自动冠状动脉体积测量更准确,因为它与三位专家的读数相关性更强。

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