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图像存档与通信系统(PACS)在鱼骨检测中的应用:一项动物研究。

Picture archive and communication system (PACS) in the detection of fish bone: an animal study.

作者信息

Wang Yung-Cheng, Huang Yung-Chien, Chang Hsio-Yun, Chang Yen-Liang, Chen Chi-Jen, Wang Pa-Chun

机构信息

Department of Radiology, Cathay General Hospital, Taipei, Taiwan.

出版信息

Otolaryngol Head Neck Surg. 2008 Jun;138(6):756-61. doi: 10.1016/j.otohns.2008.02.009.

Abstract

OBJECTIVES

We have developed an animal model to investigate the feasibility of using a digital radiography picture archive and communication system (PACS) to identify fish bones.

SUBJECTS AND METHODS

Bones from 21 species of freshwater and seawater fish were placed in the upper esophagus of a test pig. Digital radiographic images of the lateral neck were taken (60 kV, 200 mA, and 20 ms, 100 cm in distance). The images were interpreted by three radiologists. The chi(2) test, Kendall's coefficient of concordance, and the logistic regression model were applied for statistical analyses.

RESULTS

Milkfish had the lowest visibility (33.3%) in PACS. There was a significant variation in the ratings of visibility among three radiologists (P < 0.01, Kendall's coefficient 0.75). Seawater vs freshwater category, bone length, and radiologist were significant factors that affected visibility.

CONCLUSION

The sensitivity is 0.89. Images from seawater fish with long bones have better visibility. PACS is feasible in diagnosing upper esophagus fish bones, but the physician's knowledge of local varieties of fish prior to image study is equally important.

摘要

目的

我们开发了一种动物模型,以研究使用数字放射摄影图像存档与通信系统(PACS)识别鱼骨的可行性。

对象与方法

将21种淡水鱼和海水鱼的骨头置于试验猪的食管上段。拍摄颈部侧位的数字放射图像(60 kV、200 mA、20 ms,距离100 cm)。由三名放射科医生解读图像。采用卡方检验、肯德尔和谐系数和逻辑回归模型进行统计分析。

结果

遮目鱼在PACS中的可见度最低(33.3%)。三名放射科医生对可见度的评级存在显著差异(P < 0.01,肯德尔系数0.75)。海水鱼与淡水鱼类别、骨头长度和放射科医生是影响可见度的重要因素。

结论

敏感度为0.89。长骨海水鱼的图像可见度更好。PACS在诊断食管上段鱼骨方面是可行的,但医生在图像研究前对当地鱼类品种的了解同样重要。

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