A novel machine learning-driven surface-enhanced Raman spectroscopy (SERS) platform showcased remarkable diagnostic prowess in identifying peritoneal metastasis in gastric cancer patients. The PCA-LDA model achieved an accuracy of 95.7%, sensitivity of 87.0%, and specificity of 95.5%, all significantly outperforming traditional methods like exfoliative cytology and CT scans. This innovative approach promises to streamline and enhance cancer diagnosis, providing timely, accurate information that could substantially impact patient outcomes.
Journal Article by Shi B, Lu S (…) Yan C et 9 al. in Ann Surg Oncol
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