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Fourier Transform Infrared spectroscopy for the assessment of skin cancer:a potential tool in cancer diagnostics

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  • معلومة اضافية
    • Contributors:
      Rieppo, L. (Lassi); Teppo, H. (Hanna-Riikka); Saarakkala, S. (Simo)
    • بيانات النشر:
      Oulun yliopisto
    • الموضوع:
      2023
    • Collection:
      Jultika - University of Oulu repository / Oulun yliopiston julkaisuarkisto
    • نبذة مختصرة :
      Skin cancer is the most common cancer, and its incidence is increasing each year. Its diagnosis is based on a histopathological inspection by pathologists. Other imaging techniques are currently being actively researched to assist pathologists in improving diagnostic accuracy. Fourier Transform Infrared (FTIR) spectroscopy is gaining in popularity among researchers due to its ability to provide spatially resolved biochemical and biological information while also being compatible with histopathological samples. Furthermore, facilitating FTIR spectroscopic data with various machine learning methodologies for automating classification has become a popular practice. These methodologies have achieved high accuracy in discriminating cancerous samples from healthy ones, but limited work has been done to determine the metastatic potential of cells and optimize the FTIR spectroscopy protocol for achieving the best classification result. This thesis reviewed all skin cancer studies that used FTIR spectroscopy as a potential diagnostic tool to assess its effectiveness in various aspects of skin cancer research and to analyse the performance of different methods used for differentiating diseased samples from healthy ones. In addition, a model was developed to examine whether different malignant melanoma cell lines (primary and metastatic) can be discriminated using the spectral data acquired from the samples. Furthermore, the effects of different modes (transmission and transflection) and sample processing methods (deparaffinized and paraffinized) on the acquired spectra were investigated, and the combination providing the best classification result was determined. According to the results of this thesis, FTIR spectroscopy can differentiate different types of skin cancers from healthy samples as well as between different skin cancers (melanoma and non-melanoma) and the most common non-melanoma cancers. Melanoma has received the most attention in skin cancer research due to its ability to metastasize nearby lymph ...
    • File Description:
      application/pdf
    • Relation:
      info:eu-repo/semantics/altIdentifier/pissn/0355-3221; info:eu-repo/semantics/altIdentifier/eissn/1796-2234
    • Rights:
      info:eu-repo/semantics/openAccess ; © University of Oulu, 2023
    • الرقم المعرف:
      edsbas.1EB07681