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Lasers Surg Med. 2019 Sep 15. doi: 10.1002/lsm.23161. [Epub ahead of print]

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

Author information

1
Department of Surgery, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, The Netherlands.
2
Department of In-Body Systems, Philips Research, Eindhoven, The Netherlands.
3
Department of Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, The Netherlands.
4
Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands.
5
Department of Biomedical Engineering and Physics, Academic Medical Centre, Amsterdam, The Netherlands.
6
Faculty of Science and Technology, University of Twente, Enschede, The Netherlands.

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. © 2019 Wiley Periodicals, Inc.

KEYWORDS:

deep learning; hyperspectral imaging; resection margin assessment; tissue recognition; tongue cancer

PMID:
31522461
DOI:
10.1002/lsm.23161

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