Diffuse reflection spectroscopy at the fingertip: design and performance of a compact side-firing probe for tissue discrimination during colorectal cancer surgery

Geldof, Freija; Witteveen, Mark; Sterenborg, Henricus J. C. M.; Ruers, Theo J.M.; Dashtbozorg, Behdad

doi:10.1364/boe.476242

Cited by 7 publications

(5 citation statements)

References 34 publications

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“…All diffuse reflectance spectra were calibrated on a white reference object of spectralon in a similar manner as described in Refs. 56 and 58 . Therefore, any disparity between the light sources would be inconsequential.…”

Section: Methodsmentioning

confidence: 99%

Margin assessment during breast conserving surgery using diffuse reflectance spectroscopy

Veluponnar,

de Boer,

Dashtbozorg

et al. 2024

J. Biomed. Opt.

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During breast-conserving surgeries, it is essential to evaluate the resection margins (edges of breast specimen) to determine whether the tumor has been removed completely. In current surgical practice, there are no methods available to aid in accurate real-time margin evaluation.Aim: In this study, we investigated the diagnostic accuracy of diffuse reflectance spectroscopy (DRS) combined with tissue classification models in discriminating tumorous tissue from healthy tissue up to 2 mm in depth on the actual resection margin of in vivo breast tissue.Approach: We collected an extensive dataset of DRS measurements on ex vivo breast tissue and in vivo breast tissue, which we used to develop different classification models for tissue classification. Next, these models were used in vivo to evaluate the performance of DRS for tissue discrimination during breast conserving surgery. We investigated which training strategy yielded optimum results for the classification model with the highest performance.Results: We achieved a Matthews correlation coefficient of 0.76, a sensitivity of 96.7% (95% CI 95.6% to 98.2%), a specificity of 90.6% (95% CI 86.3% to 97.9%) and an area under the curve of 0.98 by training the optimum model on a combination of ex vivo and in vivo DRS data.Conclusions: DRS allows real-time margin assessment with a high sensitivity and specificity during breast-conserving surgeries.

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Section: Methodsmentioning

confidence: 99%

Margin assessment during breast conserving surgery using diffuse reflectance spectroscopy

Veluponnar,

de Boer,

Dashtbozorg

et al. 2024

J. Biomed. Opt.

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“…By incorporating DRS into a flexible fiber-optic probe that can be either passed down a laparoscope working channel, or used with robotic surgery instruments, DRS surgical guidance can potentially increase the accuracy of surgical procedures, improve rates of complete resection and thereby decrease colorectal cancer (CRC) recurrence and mortality. If a side-firing fiber-optic probe 31 can be directly integrated into the fingertip of a surgeon, open surgery could also be made more accurate.…”

Section: Relevance Of Our Workmentioning

confidence: 99%

Diffuse reflectance spectroscopy for colorectal cancer surgical guidance: towards real-time tissue characterization and new biomarkers

Saito Nogueira,

Maryam,

Amissah

et al. 2024

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“…It provides unique information about the tissue composition by illuminating the tissue with a broadband light source via an optical fiber, and subsequently measuring the reflectance spectrum after the light underwent multiple scattering and absorption interactions. Previous studies have successfully used DRS for tumor classification and surgical margin assessment in other cancer types, including breast, 27 – 29 colorectal, 30 – 32 head and neck, 33 and lung tumors. 34 In this study, we investigate the potential of DRS to distinguish tumor tissue from healthy tissue during sarcoma surgery.…”

Section: Introductionmentioning

confidence: 99%

Toward the use of diffuse reflection spectroscopy for intra-operative tissue discrimination during sarcoma surgery

Geldof,

Schrage,

van Houdt

et al. 2024

J. Biomed. Opt.

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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 intraoperative guidance, contributing to more accurate STS resections.

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Diffuse reflection spectroscopy at the fingertip: design and performance of a compact side-firing probe for tissue discrimination during colorectal cancer surgery

Cited by 7 publications

References 34 publications

Margin assessment during breast conserving surgery using diffuse reflectance spectroscopy

Margin assessment during breast conserving surgery using diffuse reflectance spectroscopy

Diffuse reflectance spectroscopy for colorectal cancer surgical guidance: towards real-time tissue characterization and new biomarkers

Toward the use of diffuse reflection spectroscopy for intra-operative tissue discrimination during sarcoma surgery

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