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计算机辅助技术评估急性肺栓塞:一项可靠性研究。

Assessment of Acute Pulmonary Embolism by Computer-Aided Technique: A Reliability Study.

机构信息

Department of Radiology, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China (mainland).

Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).

出版信息

Med Sci Monit. 2020 Feb 29;26:e920239. doi: 10.12659/MSM.920239.

Abstract

BACKGROUND Acute pulmonary embolism is one of the most common cardiovascular diseases. Computer-aided technique is widely used in chest imaging, especially for assessing pulmonary embolism. The reliability and quantitative analyses of computer-aided technique are necessary. This study aimed to evaluate the reliability of geometry-based computer-aided detection and quantification for emboli morphology and severity of acute pulmonary embolism. MATERIAL AND METHODS Thirty patients suspected of acute pulmonary embolism were analyzed by both manual and computer-aided interpretation of vascular obstruction index and computer-aided measurements of emboli quantitative parameters. The reliability of Qanadli and Mastora scores was analyzed using computer-aided and manual interpretation. RESULTS The time costs of manual and computer-aided interpretation were statistically different (374.90±150.16 versus 121.07±51.76, P<0.001). The difference between the computer-aided and manual interpretation of Qanadli score was 1.83±2.19, and 96.7% (29 out of 30) of the measurements were within 95% confidence interval (intraclass correlation coefficient, ICC=0.998). The difference between the computer-aided and manual interpretation of Mastora score was 1.46±1.62, and 96.7% (29 out of 30) of the measurements were within 95% confidence interval (ICC=0.997). The emboli quantitative parameters were moderately correlated with the Qanadli and Mastora scores (all P<0.001). CONCLUSIONS Computer-aided technique could reduce the time costs, improve the and reliability of vascular obstruction index and provided additional quantitative parameters for disease assessment.

摘要

背景

急性肺栓塞是最常见的心血管疾病之一。计算机辅助技术广泛应用于胸部成像,特别是评估肺栓塞。计算机辅助技术的可靠性和定量分析是必要的。本研究旨在评估基于几何形状的计算机辅助检测和定量分析在急性肺栓塞栓子形态和严重程度评估中的可靠性。

材料与方法

对 30 例疑似急性肺栓塞患者进行血管阻塞指数的手动和计算机辅助解读以及栓子定量参数的计算机辅助测量。使用计算机辅助和手动解读分析 Qanadli 和 Mastora 评分的可靠性。

结果

手动和计算机辅助解读的时间成本存在统计学差异(374.90±150.16 与 121.07±51.76,P<0.001)。Qanadli 评分的计算机辅助和手动解读之间的差值为 1.83±2.19,96.7%(30 例中的 29 例)的测量值在 95%置信区间内(组内相关系数 ICC=0.998)。Mastora 评分的计算机辅助和手动解读之间的差值为 1.46±1.62,96.7%(30 例中的 29 例)的测量值在 95%置信区间内(ICC=0.997)。栓子定量参数与 Qanadli 和 Mastora 评分呈中度相关(均 P<0.001)。

结论

计算机辅助技术可以减少时间成本,提高血管阻塞指数的可靠性,并为疾病评估提供额外的定量参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67d6/7063852/442b1f53f6ca/medscimonit-26-e920239-g001.jpg

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