Abstract

Embedded sensors for endoscopy devices have been studied toward a convenient and decision-supportive methodology in colorectal cancer (CRC) diagnosis, but no device could provide direct CRC screening with in situ measurements. In this study, we proposed a millimeter-scale electrical impedance spectroscopy (EIS) device that can be integrated into a biopsy tool in endoscopy for colorectal tumor detection. A minimally invasive tripolar electrode was designed to sense the tissue impedance, and a multilayer neural network was implemented for the classification algorithm. The sensor performance was investigated in terms of sensitivity, reliability, and repeatability using dummy tissues made of agarose hydrogels at various saline concentrations. In addition, an in vivo study was conducted in mice with an implanted CT-26 colon tumor line. The results demonstrated that the prototyped EIS device and algorithm can detect the tumor tissue in suspicious lesions with high sensitivity and specificity of 87.2 and 92.5%, respectively, and a low error of 7.1%. The findings of this study are promising for in situ CRC screening and may advance the diagnostic efficacy of CRC detection during endoscopic procedures.

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