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Evaluation of Electronic Biopsy for Clinical Diagnosis in Virtual Colonoscopy

机译:电子活检在虚拟结肠镜检查中的临床诊断价值

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Virtual colonoscopy provides techniques not available in optical colonoscopy, an exciting one being the ability to perform an electronic biopsy. An electronic biopsy image is created using ray-casting volume rendering of the CT data with a translucent transfer function mapping higher densities to red and lower densities to blue. The resulting image allows the physician to gain insight into the internal structure of polyps. Benign tissue and adenomas can be differentiated; the former will appear as homogeneously blue and the latter as irregular red structures. Although this technique is now common, is included with clinical systems, and has been used successfully for computer aided detection, there has so far been no study to evaluate the effectiveness of a physician using electronic biopsy in determining the pathological state of a polyp. We present here such a study, wherein an experienced radiologist ranked polyps based on electronic biopsy alone per scan (supine and prone), as well as both combined. Our results show a correct identification 77% of the time using prone or supine images alone, and 80% accuracy using both. Using ROC analysis based on this study with one reader and a modest sample size, the combined score is not significantly higher than using a single electronic biopsy image alone. However, our analysis indicates a trend of superiority for the combined ranking that deserves a follow-up confirmatory study with a larger sample and more readers. This study yields hope that an improved electronic biopsy technique could become a primary clinical diagnosis method.
机译:虚拟结肠镜检查提供了光学结肠镜检查中不可用的技术,令人兴奋的一项功能是可以进行电子活检。使用CT数据的射线投射体积渲染和半透明的传递函数创建电子活检图像,该传递函数将较高的密度映射为红色,将较低的密度映射为蓝色。产生的图像使医生可以深入了解息肉的内部结构。可以区分良性组织和腺瘤;前者将显示为均匀的蓝色,而后者将显示为不规则的红色结构。尽管这种技术现在很普遍,已经包括在临床系统中,并且已经成功地用于计算机辅助检测,但是到目前为止,还没有研究评估使用电子活检确定医师息肉状态的医师的有效性。我们在这里进行这样的研究,其中经验丰富的放射科医生根据每次扫描单独的电子活检(仰卧位和俯卧位)以及两者结合对息肉进行排名。我们的结果表明,仅使用俯卧或仰卧图像的正确识别率为77%,同时使用这两种方法的识别率为80%。使用基于本研究的ROC分析(具有一个阅读器和适中的样本量),综合得分不会明显高于单独使用单个电子活检图像。但是,我们的分析表明组合排名具有优势的趋势,值得进行后续的验证性研究,以更大的样本量和更多的读者参与。这项研究产生了希望,一种改进的电子活检技术可以成为一种主要的临床诊断方法。

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