# Elastic scattering spectroscopy for intraoperative oral cancer mucosal margin guidance: Initial results from a 104 patient cohort

**Authors:** G.P. Krisciunas, E. Rodriguez-Diaz, L. Berry, G. Spokas, O.M. A'Amar, M. Couey, H. Edwards, J. Gooey, J. Hanks, Z. Lu, D. Lucas, M. O'Leary, R. Pistey, M. Sakharkar, K. Sayre, J. Tracy, G. Zhao, I.J. Bigio, G.A. Grillone

PMC · DOI: 10.1016/j.amjoto.2025.104605 · American journal of otolaryngology · 2025-05-30

## TL;DR

This study shows that Elastic Scattering Spectroscopy (ESS) can accurately distinguish between benign and malignant oral tissue during surgery, with results improving when data from the same patient are combined.

## Contribution

The study presents initial clinical validation of ESS for intraoperative margin assessment in oral cancer using a 104-patient cohort.

## Key findings

- ESS achieved 82% sensitivity and 84% specificity at the sample level for differentiating benign and malignant tissue.
- Pooling samples per patient improved diagnostic accuracy to 94% sensitivity and 87% specificity.
- ESS showed high sensitivity but lower specificity when analyzing margin samples, suggesting potential for margin guidance.

## Abstract

To assess Elastic Scattering Spectroscopy (ESS) classification accuracy of benign vs malignant tissue obtained during intra-operative oral cancer resection.

The study comprised 104 patients with a biopsy positive for oral cancer (N = 85) or dysplasia (N = 19) who were scheduled to undergo surgical excision. ESS measurements were obtained intraoperatively on and immediately adjacent to the lesion within the planned resection margin prior to excision, and on contralateral normal-site control tissue. Two-millimeter biopsies were obtained from tumor and margin tissue. All measurements were evaluated using Leave One Person Out (LOPO) AI-assisted statistical algorithms. Three analyses evaluated ESS diagnostic accuracy: one at the sample level, one at the pooled sample patient level, and one using only diagnostically variable biopsy co-registered margin samples. Statistical analyses included sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and Area Under the Receiver Operating Characteristic Curve (AUC-ROC).

Diagnostic accuracy at the sample level yielded sensitivity = 82 %, specificity = 84 %, and AUC = 0.91. Pooling samples within each patient yielded sensitivity = 94 %, specificity = 87 %, and AUC = 0.95. Sample level diagnostic accuracy at the margin yielded sensitivity = 76 %, specificity = 50 %, and AUC = 0.70, but prioritizing sensitivity, yielded a sensitivity = 90 %, specificity = 30 %, with AUC = 0.70.

The ESS device demonstrated high sensitivity and appropriate specificity when differentiating benign from malignant tissue. Discriminant ability increased when samples were pooled within patients, informing future protocols for evaluating intraoperative ESS measures. These data are very promising and support the contention that ESS could be a valuable adjunct tool that facilitates comprehensive and efficient assessment of surgical margins.

## Linked entities

- **Diseases:** oral cancer (MONDO:0023644)

## Full-text entities

- **Diseases:** oral cancer (MESH:D009062), dysplasia (MESH:D015792), tumor (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

36 references — full list in the complete paper: https://tomesphere.com/paper/PMC12124536/full.md

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Source: https://tomesphere.com/paper/PMC12124536