Open Access
15 February 2024 Toward the use of diffuse reflection spectroscopy for intra-operative tissue discrimination during sarcoma surgery
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Abstract

Significance

Accurately distinguishing tumor tissue from normal tissue is crucial to achieve complete resections during soft tissue sarcoma (STS) surgery while preserving critical structures. Incomplete tumor resections are associated with an increased risk of local recurrence and worse patient prognosis.

Aim

We evaluate the performance of diffuse reflectance spectroscopy (DRS) to distinguish tumor tissue from healthy tissue in STSs.

Approach

DRS spectra were acquired from different tissue types on multiple locations in 20 freshly excised sarcoma specimens. A k-nearest neighbors classification model was trained to predict the tissue types of the measured locations, using binary and multiclass approaches.

Results

Tumor tissue could be distinguished from healthy tissue with a classification accuracy of 0.90, sensitivity of 0.88, and specificity of 0.93 when well-differentiated liposarcomas were included. Excluding this subtype, the classification performance increased to an accuracy of 0.93, sensitivity of 0.94, and specificity of 0.93. The developed model showed a consistent performance over different histological subtypes and tumor locations.

Conclusions

Automatic tissue discrimination using DRS enables real-time intra-operative guidance, contributing to more accurate STS resections.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Freija Geldof, Yvonne M. Schrage, Winan J. van Houdt, Henricus J. C. M. Sterenborg, Behdad Dashtbozorg, and Theo J. M. Ruers "Toward the use of diffuse reflection spectroscopy for intra-operative tissue discrimination during sarcoma surgery," Journal of Biomedical Optics 29(2), 027001 (15 February 2024). https://doi.org/10.1117/1.JBO.29.2.027001
Received: 6 July 2023; Accepted: 24 January 2024; Published: 15 February 2024
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KEYWORDS
Tissues

Tumors

Reflectance spectroscopy

Resection

Surgery

Diffuse reflectance spectroscopy

Binary data

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