Toward assessment of resection margins using hyperspectral diffuse reflection imaging (400–1,700 nm) during tongue cancer surgery

Journal Article (2019)
Author(s)

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

Pim Weijtmans (Philips Research)

M. Baris Karakullukcu (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Caifeng Shan (Philips Research)

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

Laura A. Smit (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Robert L.P. van Veen (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

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

Henricus J.C.M. Sterenborg (Academic Medical Centre, 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/lsm.23161 Final published version
More Info
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Publication Year
2019
Language
English
Research Group
Medical Instruments & Bio-Inspired Technology
Issue number
6
Volume number
52 (2020)
Pages (from-to)
496-502
Downloads counter
241

Abstract

Background and Objectives: There is a clinical need to assess the resection margins of tongue cancer specimens, intraoperatively. In the current ex vivo study, we evaluated the feasibility of hyperspectral diffuse reflectance imaging (HSI) for distinguishing tumor from the healthy tongue tissue. Study Design/Materials and Methods: Fresh surgical specimens (n = 14) of squamous cell carcinoma of the tongue were scanned with two hyperspectral cameras that cover the visible and near-infrared spectrum (400–1,700 nm). Each pixel of the hyperspectral image represents a measure of the diffuse optical reflectance. A neural network was used for tissue-type prediction of the hyperspectral images of the visual and near-infrared data sets separately as well as both data sets combined. Results: HSI was able to distinguish tumor from muscle with a good accuracy. The diagnostic performance of both wavelength ranges (sensitivity/specificity of visual and near-infrared were 84%/80% and 77%/77%, respectively) appears to be comparable and there is no additional benefit of combining the two wavelength ranges (sensitivity and specificity were 83%/76%). Conclusions: HSI has a strong potential for intra-operative assessment of tumor resection margins of squamous cell carcinoma of the tongue. This may optimize surgery, as the entire resection surface can be scanned in a single run and the results can be readily available. Lasers Surg. Med.