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MDCT for automated detection and measurement of pneumothoraces in trauma patients.

机译:MDCT用于创伤患者中气胸的自动检测和测量。

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OBJECTIVE: The size of a pneumothorax is an important index to guide the emergency treatment of trauma patients--chest tube drainage. The purpose of this study was to develop and validate an automated computer-aided volumetry scheme for detection and measurement of pneumothoraces for trauma patients imaged with MDCT. MATERIALS AND METHODS: Three pigs and 68 trauma patients with at least one diagnosed occult pneumothorax (23 women and 45 men; age range, 14-89 years; mean age, 41 +/- 19 years) were selected for the development and validation of our computer-aided volumetry scheme for pneumothorax. Computer-aided volumetry of pneumothorax consisted of five automated steps: extraction of pleural region, detection of pneumothorax candidates, delineation of the detected pneumothorax candidates, reduction of false-positive findings, and report of the volumetric measurement of pneumothoraces. RESULTS: In the animal study, our computer-aided volumetry scheme yielded a mean value of 24.27 +/- 0.64 mL (SD) compared with 25 mL of air volume manually injected in each scan. The correlation coefficients were 0.999 and 0.997 for the in vivo and ex vivo comparison, respectively. In the patient study, the sensitivity of our computer-aided volumetry scheme was 100% with a false-positive rate of 0.15 per case for 32 occult pneumothoraces > or = 25 mL. The correlation coefficient was 0.999 for manual volumetry comparison. This automated computer-aided volumetry scheme took approximately 3 minutes to finish the detection and measurement per case. CONCLUSION: The results show that our computer-aided volumetry scheme provides an automated method for accurate and efficient detection and measurement of pneumothoraces in MDCT images of trauma patients.
机译:目的:气胸的大小是指导创伤患者急诊治疗的重要指标-胸腔引流管。这项研究的目的是开发和验证一种自动计算机辅助容积计,用于检测和测量MDCT成像的创伤患者的气胸。材料与方法:选择3头猪和68例创伤患者,其中至少1例被诊断为隐性气胸(23名女性和45名男性;年龄范围14-89岁;平均年龄41 +/- 19岁),用于开发和验证我们针对气胸的计算机辅助容积方案。气胸的计算机辅助容量测定包括五个自动化步骤:胸膜区域的提取,气胸候选物的检测,所检测到的气胸候选物的描绘,假阳性结果的减少以及气胸的体积测量报告。结果:在动物研究中,我们的计算机辅助体积计方案得出的平均值为24.27 +/- 0.64 mL(SD),而每次扫描中手动注入的空气体积为25 mL。体内和离体比较的相关系数分别为0.999和0.997。在患者研究中,我们的计算机辅助容量计方案的敏感性为100%,对于32例≥25 mL的隐性气胸,每例假阳性率为0.15。手动容积比较的相关系数为0.999。这种自动的计算机辅助容积法大约需要3分钟才能完成每个案例的检测和测量。结论:结果表明,我们的计算机辅助容积计划为准确,有效地检测和测量创伤患者MDCT图像中的气胸提供了一种自动化方法。

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