Real Time Tissue Characterisation Using Mass Spectrometry REI-EXCISE iKnife Study
Last updated on July 2021Recruitment
- Recruitment Status
- Active, not recruiting
- Estimated Enrollment
- 175
Summary
- Conditions
- Breast Cancer
- Surgery
- Type
- Observational
- Design
- Observational Model: Case-OnlyTime Perspective: Prospective
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Only males
Description
There is an urgent need to address high rates of close or positive margins and re-operative breast cancer surgery, which commonly results from the inability of the surgeon to rapidly and reliably evaluate resection margin status intra-operatively. This study therefore seeks to address this problem b...
There is an urgent need to address high rates of close or positive margins and re-operative breast cancer surgery, which commonly results from the inability of the surgeon to rapidly and reliably evaluate resection margin status intra-operatively. This study therefore seeks to address this problem by aiming to develop a method for near real time, in vivo intra-operative tissue classification that may be used by breast surgeons as an intelligent knife (or "iKnife") to better guide oncological margin control. The method known as Rapid Evaporative Ionisation Mass Spectrometry (REIMS) technology uses mass spectrometric and chemometric analysis of the tissue specific ionic content of the surgical diathermy smoke plume for the rapid identification of dissected breast tissues. There are no additional treatment interventions as part of REI-EXCISE. The main study procedures are breast conserving surgery using the REIMS iKnife for mass spectral analysis of each surgical margin and correlation between the results of a software recognition algorithm that capitalised on the spectral data (i.e. iKnife margin = positive / negative) with conventional histopathological assessment. False positive iKnife data will be further interrogated with digital droplet polymerase chain reaction and imprint cytology assessment.
Tracking Information
- NCT #
- NCT03432429
- Collaborators
- Cancer Research UK
- Waters Corporation
- Investigators
- Principal Investigator: Daniel Leff Department of Surgery & Cancer, Imperial College London Principal Investigator: Zoltan Takats Department of Metabolism, Digestion and Reproduction, Imperial College London