Discrimination of benign and malignant lesions in canine mammary tissue samples using Raman spectroscopy: a pilot study

Diana Dantas, Liliana Soares, Susana Novais, Rui Vilarinho, J. Agostinho Moreira, Susana Silva, Orlando Frazão, Teresa Oliveira, Nuno Leal, Pedro Faísca, Joana Reis*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Breast cancer is a health problem that affects individual life quality and the family system. It is the most frequent type of cancer in women, but men are also affected. As an integrative approach, comparative oncology offers an opportunity to learn more about natural cancers in different species. Methods based on Raman spectroscopy have shown significant potential in the study of the human breast through the fingerprinting of biological tissue, which provides valuable information that can be used to identify, characterize and discriminate structures in breast tissue, in both healthy and carcinogenic environments. One of the most important applications of Raman spectroscopy in medical diagnosis is the characterization of microcalcifications, which are highly important diagnostic indicators of breast tissue diseases. Raman spectroscopy has been used to analyze the chemical composition of microcalcifications. These occur in benign and malignant lesions in the human breast, and Raman helps to discriminate microcalcifications as type I and type II according to their composition. This paper demonstrates the recent progress in understanding how this vibrational technique can discriminate through the fingerprint regions of lesions in unstained histology sections from canine mammary glands.

Original languageEnglish
Article number1652
Pages (from-to)1-16
Number of pages16
JournalAnimals
Volume10
Issue number9
DOIs
Publication statusPublished - Sep 2020
Externally publishedYes

Keywords

  • Breast cancer
  • Canine
  • Comparative oncology
  • Histopathology
  • Microcalcification
  • Raman fingerprints
  • Raman spectroscopy

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