Geldof F, Schrage YM, van Houdt WJ, Sterenborg HJCM, Dashtbozorg B, Ruers TJM. Toward the use of diffuse reflection spectroscopy for intra-operative tissue discrimination during sarcoma surgery.
JOURNAL OF BIOMEDICAL OPTICS 2024;
29:027001. [PMID:
38361507 PMCID:
PMC10869119 DOI:
10.1117/1.jbo.29.2.027001]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/17/2024]
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.
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