Tourism Marketing: A Collaborative Approach

Abstract

Minimally invasive robotic-assisted surgeries have been increasingly used as a first-line of treatment for patients undergoing oncologic surgeries. In-situ tissue identification is critical to guide tissue resection and assist decision-making. Traditional intraoperative histopathologic analysis of frozen tissue sections can be time-consuming and present logistical challenges which interrupt surgical workflows. We report the development and implementation of a laparoscopic, drop-in version of the MasSpec Pen device integrated into the da Vinci Xi Surgical system for <i>in vivo</i> tissue analysis in a robotic-assisted porcine surgery. We evaluated the performance of the drop-in MasSpec Pen during surgery by introducing the device into the animal upper gastrointestinal system and performing <i>in vivo</i> analyses of the stomach and liver, including charred and bloody tissues after electrocauterization. The molecular profiles obtained included ions tentatively identified as metabolites and lipids typically observed with MasSpec Pen analysis, without causing observable tissue damage. Statistical classifiers built to distinguish porcine liver and stomach tissues using the <i>in vivo</i> data yielded an overall tissue identification accuracy of 98% (<i>n</i> = 53 analyses). The results provide evidence that the drop-in MasSpec Pen developed can be used to acquire mass spectra <i>in vivo</i> during a robotic-assisted surgery and might be used as an <i>in vivo</i> tissue assessment tool to help guide surgical resections and streamline surgical workflows.