ArticleScientific reports2025
Raman spectroscopy based diagnosis of pancreatic ductal adenocarcinoma.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Glucagon-like peptide 1 receptor agonists and cancer risk: the good, the bad and the unknown.Nature reviews. Clinical oncology · 2026Review
- Miniaturized handheld Raman imager based on 2D MEMS scanning for non-destructive analysis of thermally sensitive samples.Biomedical optics express · 2026Article
- Label-free molecular profiling of cancer using Raman spectroscopy: from fundamentals to clinical applications.Frontiers in oncology · 2026Review
- Development of a rapid and novel diagnostic technique for cardiac amyloidosis using Raman spectroscopy.Research square · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
Pancreatic ductal adenocarcinoma is currently the 12th most frequent form of cancer worldwide, characterized by a very low 5-year survival rate. Although several therapeutic approaches have been proposed to treat this form of pancreatic cancer, surgical resection is still commonly recognized as the most effective technique to slow down the disease progression and maximize the 5-year survival rate. Analogously, one critical issue is the ability of current diagnostic methodologies to distinguish between irregular growth of the tumor mass and surrounding inflammatory tissues. In this pilot study, we apply Raman spectroscopy, supported by a series of machine learning techniques, to distinguish among healthy, pancreatitis and ductal adenocarcinoma tissues, respectively, for a total of 15 cases. Raman spectroscopy is a label-free, non-destructive spectral technique exploiting Raman scattering. In turn, by applying a combination of principal component analysis and random forest classifier on the Raman spectral dataset, we achieved a maximum accuracy of up to
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