Combining diffuse reflectance spectroscopy and ultrasound imaging for resection margin assessment during colorectal cancer surgery

Combining diffuse reflectance spectroscopy and ultrasound imaging for resection margin assessment during colorectal cancer surgery

Geldof, Freija (Netherlands Cancer Institute)
Jong, Lynn-Jade (Netherlands Cancer Institute)
Dashtbozorg, Behdad (Netherlands Cancer Institute)
Hendriks, B.H.W. (TU Delft Medical Instruments & Bio-Inspired Technology; Philips Research)
Sterenborg, Henricus J.C.M. (Netherlands Cancer Institute; Amsterdam UMC)
Ruers, Theo J.M. (Netherlands Cancer Institute; University of Twente)

Azar, Fred S. (editor)
Intes, Xavier (editor)
Fang, Qianqian (editor)

2021

Establishing adequate resection margins during colorectal cancer surgery is challenging. Currently, in up to 30% of the cases the tumor is not completely removed, which emphasizes the lack of a real-time tissue discrimination tool that can assess resection margins up to multiple millimeters in depth. Therefore, we propose to combine spectral data from diffuse reflectance spectroscopy (DRS) with spatial information from ultrasound (US) imaging to evaluate multi-layered tissue structures. First, measurements with animal tissue were performed to evaluate the feasibility of the concept. The phantoms consisted of muscle and fat layers, with a varying top layer thickness of 0-10 mm. DRS spectra of 250 locations were obtained and corresponding US images were acquired. DRS features were extracted using the wavelet transform. US features were extracted based on the graph theory and first-order gradient. Using a regression analysis and combined DRS and US features, the top layer thickness was estimated with an error of up to 0.48 mm. The tissue types of the first and second layers were classified with accuracies of 0.95 and 0.99 respectively, using a support vector machine model.

Colorectal cancer
Diffuse reflectance spectroscopy
Margin assessment
Multi-layer tissue
Multimodal imaging
Surgical guidance
Tissue classification
Ultrasound imaging

http://resolver.tudelft.nl/uuid:03f66387-9062-4acc-9bca-a7959597fcaa

https://doi.org/10.1117/12.2578478

SPIE

9781510641037

Multimodal Biomedical Imaging XVI

Multimodal Biomedical Imaging XVI 2021, 2021-03-06 → 2021-03-11, Virtual, Online, United States

Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 1605-7422, 11634

Institutional Repository

conference paper

© 2021 Freija Geldof, Lynn-Jade Jong, Behdad Dashtbozorg, B.H.W. Hendriks, Henricus J.C.M. Sterenborg, Theo J.M. Ruers