Comparing in vivo and ex vivo fiberoptic diffuse reflectance spectroscopy in colorectal cancer

Journal Article (2019)
Author(s)

Elisabeth J.M. Baltussen (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Susan G. Brouwer de Koning (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Benno Hendriks (TU Delft - Medical Instruments & Bio-Inspired Technology, Philips Research)

Katarzyna Jóźwiak (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis, Brandenburg Medical School Theodor Fontane)

Henricus J.C.M. Sterenborg (Amsterdam UMC, Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Theo J.M. Ruers (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis, University of Twente)

Research Group
Medical Instruments & Bio-Inspired Technology
DOI related publication
https://doi.org/10.1002/tbio.201900008 Final published version
More Info
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Publication Year
2019
Language
English
Research Group
Medical Instruments & Bio-Inspired Technology
Journal title
Translational Biophotonics
Issue number
1-2
Volume number
1
Article number
e201900008
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Abstract

In vivo data acquisition using fiberoptic diffuse reflectance spectroscopy (DRS) is more complicated and less controlled compared to ex vivo data acquisition. It would be of great benefit if classifiers for in vivo tissue discrimination based on DRS could be trained on data obtained ex vivo. In this study, in vivo and ex vivo DRS measurements are obtained during colorectal cancer surgery. A mixed model statistical analysis is used to examine the differences between the two datasets. Furthermore, classifiers are trained and tested using in vivo and ex vivo data. It is found that with a classifier trained on ex vivo data and tested on in vivo data, similar results are obtained compared to a classifier trained and tested on in vivo data. In conclusion, under the conditions used in this study, classifiers intended for in vivo tissue discrimination can be trained on ex vivo data.