Hyperspectral Imaging for Tissue Classification after Advanced Stage Ovarian Cancer Surgery

Hyperspectral Imaging for Tissue Classification after Advanced Stage Ovarian Cancer Surgery: A Pilot Study

Perez, S.M. (TU Delft Medical Instruments & Bio-Inspired Technology; Erasmus MC)
van de Berg, N.J. (TU Delft Medical Instruments & Bio-Inspired Technology; Erasmus MC)
Manni, Francesca (Eindhoven University of Technology)
Lai, Marco (Eindhoven University of Technology)
Rijstenberg, Lucia (Erasmus MC)
Hendriks, B.H.W. (TU Delft Medical Instruments & Bio-Inspired Technology)
Dankelman, J. (TU Delft Medical Instruments & Bio-Inspired Technology)
Ewing-Graham, Patricia C. (Erasmus MC)
Nieuwenhuyzen, G.M. (Erasmus MC; Albert Schweitzer Hospital)
Van Beekhuizen, Heleen J. (Erasmus MC)

2022

The most important prognostic factor for the survival of advanced-stage epithelial ovarian cancer (EOC) is the completeness of cytoreductive surgery (CRS). Therefore, an intraoperative technique to detect microscopic tumors would be of great value. The aim of this pilot study is to assess the feasibility of near-infrared hyperspectral imaging (HSI) for EOC detection in ex vivo tissue samples. Images were collected during CRS in 11 patients in the wavelength range of 665–975 nm, and processed by calibration, normalization, and noise filtering. A linear support vector machine (SVM) was employed to classify healthy and tumorous tissue (defined as >50% tumor cells). Classifier performance was evaluated using leave-one-out cross-validation. Images of 26 tissue samples from 10 patients were included, containing 26,446 data points that were matched to histopathology. Tumorous tissue could be classified with an area under the curve of 0.83, a sensitivity of 0.81, a specificity of 0.70, and Matthew’s correlation coefficient of 0.41. This study paves the way to in vivo and intraoperative use of HSI during CRS. Hyperspectral imaging can scan a whole tissue surface in a fast and non-contact way. Our pilot study demonstrates that HSI and SVM learning can be used to discriminate EOC from surrounding tissue.

hyperspectral imaging
ovarian epithelial carcinoma
cytoreduction surgical procedure
support vector machine
classification

http://resolver.tudelft.nl/uuid:274485b3-8d6f-4813-8fc3-ca4a6cfcd0c5

https://doi.org/10.3390/cancers14061422

2072-6694

Cancers, 14 (6)

Institutional Repository

journal article

© 2022 S.M. Perez, N.J. van de Berg, Francesca Manni, Marco Lai, Lucia Rijstenberg, B.H.W. Hendriks, J. Dankelman, Patricia C. Ewing-Graham, G.M. Nieuwenhuyzen, Heleen J. Van Beekhuizen