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基于云的颈动脉管腔直径超声自动测量的操作者内和操作者间可重复性

Intra- and inter-operator reproducibility of automated cloud-based carotid lumen diameter ultrasound measurement.

作者信息

Saba Luca, Banchhor Sumit K, Araki Tadashi, Viskovic Klaudija, Londhe Narendra D, Laird John R, Suri Harman S, Suri Jasjit S

机构信息

Department of Radiology, University of Cagliari, Italy.

Department of Electrical Engineering, NIT Raipur, Chhattisgarh, India.

出版信息

Indian Heart J. 2018 Sep-Oct;70(5):649-664. doi: 10.1016/j.ihj.2018.01.024. Epub 2018 Jan 31.

DOI:10.1016/j.ihj.2018.01.024
PMID:30392503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6205023/
Abstract

BACKGROUND: Common carotid artery lumen diameter (LD) ultrasound measurement systems are either manual or semi-automated and lack reproducibility and variability studies. This pilot study presents an automated and cloud-based LD measurements software system (AtheroCloud) and evaluates its: (i) intra/inter-operator reproducibility and (ii) intra/inter-observer variability. METHODS: 100 patients (83M, mean age: 68±11years), IRB approved, consisted of L/R CCA artery (200 ultrasound images), acquired using a 7.5-MHz linear transducer. The intra/inter-operator reproducibility was verified using three operator's readings. Near-wall and far carotid wall borders were manually traced by two observers for intra/inter-observer variability analysis. RESULTS: The mean coefficient of correlation (CC) for intra- and inter-operator reproducibility between all the three automated reading pairs were: 0.99 (P<0.0001) and 0.97 (P<0.0001), respectively. The mean CC for intra- and inter-observer variability between both the manual reading pairs were 0.98 (P<0.0001) and 0.98 (P<0.0001), respectively. The Figure-of-Merit between the mean of the three automated readings against the four manuals were 98.32%, 99.50%, 98.94% and 98.49%, respectively. CONCLUSIONS: The AtheroCloud LD measurement system showed high intra/inter-operator reproducibility hence can be adapted for vascular screening mode or pharmaceutical clinical trial mode.

摘要

背景：颈总动脉管腔直径（LD）超声测量系统要么是手动的，要么是半自动的，缺乏重复性和变异性研究。这项初步研究展示了一种基于云的自动化LD测量软件系统（AtheroCloud），并评估其：（i）操作者内/间的重复性，以及（ii）观察者内/间的变异性。 方法：100例患者（83名男性，平均年龄：68±11岁），经机构审查委员会批准，包括左/右颈总动脉（200幅超声图像），使用7.5兆赫线性换能器采集。通过三名操作者的读数验证操作者内/间的重复性。两名观察者手动描绘近壁和远颈动脉壁边界，用于观察者内/间的变异性分析。 结果：所有三个自动读数对之间操作者内和操作者间重复性的平均相关系数（CC）分别为：0.99（P<0.0001）和0.97（P<0.0001）。两个手动读数对之间观察者内和观察者间变异性的平均CC分别为0.98（P<0.0001）和0.98（P<0.0001）。三个自动读数的平均值与四个手动读数的优值分别为98.32%、99.50%、98.94%和98.49%。 结论：AtheroCloud LD测量系统显示出较高的操作者内/间重复性，因此可适用于血管筛查模式或药物临床试验模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/a30820626cfc/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/e6e14e4f6c32/gr1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/80c527fdb204/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/6298dd1da8f2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/4f5a5af20b4c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/b8fddd21082e/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/83dc4815cf64/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/776f98e0e0b9/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/a0d6556f2f49/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/c3a0785dd205/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/873a07a8e511/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/a30820626cfc/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/e6e14e4f6c32/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/38fdb8b10e45/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/80c527fdb204/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/6298dd1da8f2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/4f5a5af20b4c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/b8fddd21082e/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/83dc4815cf64/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/776f98e0e0b9/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/a0d6556f2f49/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/c3a0785dd205/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/873a07a8e511/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b66/6205023/a30820626cfc/gr17.jpg

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本文引用的文献

[1]
Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials.

Comput Biol Med. 2017-10-23

[2]
Accurate cloud-based smart IMT measurement, its validation and stroke risk stratification in carotid ultrasound: A web-based point-of-care tool for multicenter clinical trial.

Comput Biol Med. 2016-8-1

[3]
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.

J Med Syst. 2016-7

[4]
Carotid inter-adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis.

J Clin Ultrasound. 2016-5

[5]
Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine.

J Med Syst. 2016-2-10

[6]
Executive Summary: Heart Disease and Stroke Statistics--2016 Update: A Report From the American Heart Association.

Circulation. 2016-1-26

[7]
Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos.

J Med Syst. 2016-3

[8]
Automatic lung segmentation using control feedback system: morphology and texture paradigm.

J Med Syst. 2015-3

[9]
Automated and accurate carotid bulb detection, its verification and validation in low quality frozen frames and motion video.

Int Angiol. 2014-12

[10]
Incident stroke is associated with common carotid artery diameter and not common carotid artery intima-media thickness.

Stroke. 2014-3-18

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