Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors
This study introduces Raman imaging technique for diagnosing skin cancer in veterinary oncology patients (dogs and cats). Initially, Raman spectral bands (with specificity to certain molecular structures and functional groups) were identified in formalin-fixed samples of mast cell tumors and soft ti...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Veterinary Quarterly |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/01652176.2025.2486771 |
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| author | Mindaugas Tamošiūnas Martynas Maciulevičius Romans Maļiks Diāna Dupļevska Daira Viškere Ilze Matīse-van Houtana Roberts Kadiķis Blaž Cugmas Renaldas Raišutis |
| author_facet | Mindaugas Tamošiūnas Martynas Maciulevičius Romans Maļiks Diāna Dupļevska Daira Viškere Ilze Matīse-van Houtana Roberts Kadiķis Blaž Cugmas Renaldas Raišutis |
| author_sort | Mindaugas Tamošiūnas |
| collection | DOAJ |
| description | This study introduces Raman imaging technique for diagnosing skin cancer in veterinary oncology patients (dogs and cats). Initially, Raman spectral bands (with specificity to certain molecular structures and functional groups) were identified in formalin-fixed samples of mast cell tumors and soft tissue sarcomas, obtained through routine veterinary biopsy submissions. Then, a custom-built Raman macro-imaging system featuring an intensified CCD camera (iXon Ultra 888, Andor, UK), tunable narrow-band Semrock (USA) optical filter compartment was used to map the spectral features at 1437 cm−1 and 1655 cm−1 in ex vivo tissue. This approach enabled wide-field (cm2), rapid (within seconds), and safe (< 400 mW/cm2) imaging conditions, supporting accurate diagnosis of tissue state. The findings indicate that machine learning classifiers – particularly support vector machine (SVM) and decision tree (DT) – effectively distinguished between soft tissue sarcoma, mastocytoma and benign tissues using Raman spectral band imaging data. Additionally, combining Raman macro-imaging with residual near-infrared (NIR) autofluorescence as a bimodal imaging technique enhanced diagnostic performance, reaching 85 – 95% in accuracy, sensitivity, specificity, and precision – even with a single spectral band (1437 cm−1 or 1655 cm−1). In conclusion, the proposed bi-modal imaging is a pioneering method for veterinary oncology science, offering to improve the diagnostic accuracy of malignant tumors. |
| format | Article |
| id | doaj-art-9603da5f78ec480c80300e69dc880bcd |
| institution | OA Journals |
| issn | 0165-2176 1875-5941 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Veterinary Quarterly |
| spelling | doaj-art-9603da5f78ec480c80300e69dc880bcd2025-08-20T02:08:31ZengTaylor & Francis GroupVeterinary Quarterly0165-21761875-59412025-12-0145111710.1080/01652176.2025.2486771Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumorsMindaugas Tamošiūnas0Martynas Maciulevičius1Romans Maļiks2Diāna Dupļevska3Daira Viškere4Ilze Matīse-van Houtana5Roberts Kadiķis6Blaž Cugmas7Renaldas Raišutis8Institute of Atomic Physics and Spectroscopy, University of Latvia, Rīga, LatviaUltrasound Research Institute, Kaunas University of Technology, Kaunas, LithuaniaInstitute of Electronics and Computer Science, Riga, LatviaInstitute of Electronics and Computer Science, Riga, LatviaInstitute of Atomic Physics and Spectroscopy, University of Latvia, Rīga, LatviaInstitute of Atomic Physics and Spectroscopy, University of Latvia, Rīga, LatviaInstitute of Electronics and Computer Science, Riga, LatviaInstitute of Atomic Physics and Spectroscopy, University of Latvia, Rīga, LatviaUltrasound Research Institute, Kaunas University of Technology, Kaunas, LithuaniaThis study introduces Raman imaging technique for diagnosing skin cancer in veterinary oncology patients (dogs and cats). Initially, Raman spectral bands (with specificity to certain molecular structures and functional groups) were identified in formalin-fixed samples of mast cell tumors and soft tissue sarcomas, obtained through routine veterinary biopsy submissions. Then, a custom-built Raman macro-imaging system featuring an intensified CCD camera (iXon Ultra 888, Andor, UK), tunable narrow-band Semrock (USA) optical filter compartment was used to map the spectral features at 1437 cm−1 and 1655 cm−1 in ex vivo tissue. This approach enabled wide-field (cm2), rapid (within seconds), and safe (< 400 mW/cm2) imaging conditions, supporting accurate diagnosis of tissue state. The findings indicate that machine learning classifiers – particularly support vector machine (SVM) and decision tree (DT) – effectively distinguished between soft tissue sarcoma, mastocytoma and benign tissues using Raman spectral band imaging data. Additionally, combining Raman macro-imaging with residual near-infrared (NIR) autofluorescence as a bimodal imaging technique enhanced diagnostic performance, reaching 85 – 95% in accuracy, sensitivity, specificity, and precision – even with a single spectral band (1437 cm−1 or 1655 cm−1). In conclusion, the proposed bi-modal imaging is a pioneering method for veterinary oncology science, offering to improve the diagnostic accuracy of malignant tumors.https://www.tandfonline.com/doi/10.1080/01652176.2025.2486771Raman spectral band imagingnear-infrared autofluorescenceveterinary oncologymast cell tumorsoft tissue sarcoma |
| spellingShingle | Mindaugas Tamošiūnas Martynas Maciulevičius Romans Maļiks Diāna Dupļevska Daira Viškere Ilze Matīse-van Houtana Roberts Kadiķis Blaž Cugmas Renaldas Raišutis Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors Veterinary Quarterly Raman spectral band imaging near-infrared autofluorescence veterinary oncology mast cell tumor soft tissue sarcoma |
| title | Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors |
| title_full | Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors |
| title_fullStr | Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors |
| title_full_unstemmed | Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors |
| title_short | Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors |
| title_sort | raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors |
| topic | Raman spectral band imaging near-infrared autofluorescence veterinary oncology mast cell tumor soft tissue sarcoma |
| url | https://www.tandfonline.com/doi/10.1080/01652176.2025.2486771 |
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