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Tissue identification during Pneumoperitoneum in laparoscopy

机译:腹腔镜检查中肺炎骨膜内的组织鉴定

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Pneumoperitoneum is the beginning procedure of laparoscopy to enlarge the abdominal cavity in order to allow the surgical instruments to insert for surgical purpose. However, the insertion of Veress needle is a blind fashion that could cause blood vessels or visceral injury without attention and results in undetectable internal bleeding. Seriously it may cause a life-threatened complication. We have developed a method that can monitor the tissue reflective spectrum, which can be used for tissue discrimination, in real time during the puncture of the Veress needle. The system includes a modified Veress needle which containes an optical bundle, a light spectrum analyzing and control unit. Therefore, the tissue reflective spectrum can be vivid observed and analyzed through the fiber optical technology during the procedure of the Veress needle insertion. In this study, we have measured the reflective spectra of various porcine abdominal tissues. The features of their spectra were analyzed and characterized to build up the data base and create an algorithm for tissue discrimination in laparoscopy. The results showed that the correlation coefficient (r) of the reflective spectrum can be 0.79-0.95 for the wavelength range of 350.1000 nm and 0.85-0.98 for the wavelength range of 350-650 run in the same tissue of various samples which were obtained from different days. An alternative way for tissue discrimination is achieved through a decision making tree according to the characteristics of tissue spectrum. For single blind test the success rate is nearly 100%. It seems that both the algorithms mentioned above for tissue discrimination are all very promising. Therefore, these algorithms will be applied to in vivo study in animal in the near future.
机译:气球胆管炎是腹腔镜的开始步骤,以扩大腹腔,以便允许手术器械插入外科手术。然而,Veress针的插入是一种盲时,可能导致血管或内脏损伤而不注意并导致未检测到的内部出血。严重,它可能会导致生命威胁的并发症。我们开发了一种可以监控组织反射谱的方法,该谱可以实时地用于组织鉴别,实时在验尸针的穿刺期间实时。该系统包括包含光束,光谱分析和控制单元的改进的验证针。因此,可以通过纤维光学技术在验证针插入过程中通过纤维光学技术进行鲜艳观察和分析组织反射频谱。在这项研究中,我们已经测量了各种猪腹组织的反射光谱。分析其光谱的特征,并表征以建立数据库,并在腹腔镜检查中创建一种组织鉴别算法。结果表明,光谱的相关系数(R)可以为350.1000nm的波长范围为0.79-0.95,为350-650的波长范围为0.85-0.98,在获得的各种样品的相同组织中运行不同的日子。通过根据组织谱的特征来实现组织鉴别的替代方法。对于单盲考验,成功率近100%。似乎上面提到的组织歧视的算法都是非常有前途的。因此,这些算法将在不久的将来应用于动物的体内研究。

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