Sugahara T, Yamagihara Y, Sugimoto N, Kimura K, Awano K, Azumi T
Department of Radiology, National Cardiovascular Center Research Institute, Osaka, Japan.
Acta Radiol. 1992 Jan;33(1):6-9.
To accurately diagnose stenotic lesions on coronary cineangiograms, an automatic detection method using computer image processing was developed. We evaluated its accuracy by comparing the results of computer-aided interpretation (CAI) with those obtained independently by 3 observers. Evaluation was performed on 129 segments from 27 arteries visualized on angiograms obtained in 18 patients. The detection rates of stenosis of the 3 observers by pure visual interpretation were 7.0%, 27.9%, and 17.1%, and using CAI 40.0%, 42.6%, and 47.3%. By computer recognition alone, a detection rate of 51.9% was achieved. The agreement by at least 2 observers (consensus) on the sites with lesions was 41.1% while the consensus of computer recognition regarding the sites with lesion was 40.3%. Therefore, our findings indicated that computer recognition of cineangiograms is likely to result in overdetection of lesions. However, all 3 observers detected stenotic lesions better with CAI than with pure visual interpretation. Accordingly, CAI may improve the reliability of cineangiographic diagnosis.
为了在冠状动脉电影血管造影上准确诊断狭窄病变，开发了一种使用计算机图像处理的自动检测方法。我们通过将计算机辅助解读（CAI）的结果与3名观察者独立获得的结果进行比较来评估其准确性。对18例患者血管造影中显示的27条动脉的129个节段进行了评估。3名观察者通过单纯视觉解读的狭窄检出率分别为7.0%、27.9%和17.1%，使用CAI时分别为40.0%、42.6%和47.3%。仅通过计算机识别，检出率达到了51.9%。至少2名观察者（达成共识）对病变部位的一致率为41.1%，而计算机识别对病变部位的共识率为40.3%。因此，我们的研究结果表明，计算机对电影血管造影的识别可能会导致病变的过度检测。然而，所有3名观察者使用CAI检测狭窄病变的效果都优于单纯视觉解读。因此，CAI可能会提高电影血管造影诊断的可靠性。
