GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment
Abstract The presence of a positive deep surgical margin in tongue squamous cell carcinoma (TSCC) significantly elevates the risk of local recurrence. Therefore, a prompt and precise intraoperative assessment of margin status is imperative to ensure thorough tumor resection. In this study, we integr...
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2025-01-01
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| Series: | International Journal of Oral Science |
| Online Access: | https://doi.org/10.1038/s41368-025-00346-y |
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| _version_ | 1832585991704018944 |
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| author | Bing Yan Zhining Wen Lili Xue Tianyi Wang Zhichao Liu Wulin Long Yi Li Runyu Jing |
| author_facet | Bing Yan Zhining Wen Lili Xue Tianyi Wang Zhichao Liu Wulin Long Yi Li Runyu Jing |
| author_sort | Bing Yan |
| collection | DOAJ |
| description | Abstract The presence of a positive deep surgical margin in tongue squamous cell carcinoma (TSCC) significantly elevates the risk of local recurrence. Therefore, a prompt and precise intraoperative assessment of margin status is imperative to ensure thorough tumor resection. In this study, we integrate Raman imaging technology with an artificial intelligence (AI) generative model, proposing an innovative approach for intraoperative margin status diagnosis. This method utilizes Raman imaging to swiftly and non-invasively capture tissue Raman images, which are then transformed into hematoxylin-eosin (H&E)-stained histopathological images using an AI generative model for histopathological diagnosis. The generated H&E-stained images clearly illustrate the tissue’s pathological conditions. Independently reviewed by three pathologists, the overall diagnostic accuracy for distinguishing between tumor tissue and normal muscle tissue reaches 86.7%. Notably, it outperforms current clinical practices, especially in TSCC with positive lymph node metastasis or moderately differentiated grades. This advancement highlights the potential of AI-enhanced Raman imaging to significantly improve intraoperative assessments and surgical margin evaluations, promising a versatile diagnostic tool beyond TSCC. |
| format | Article |
| id | doaj-art-68693d9f85c9468390ccab1a1bb19827 |
| institution | Kabale University |
| issn | 2049-3169 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | International Journal of Oral Science |
| spelling | doaj-art-68693d9f85c9468390ccab1a1bb198272025-01-26T12:18:14ZengNature Publishing GroupInternational Journal of Oral Science2049-31692025-01-0117111110.1038/s41368-025-00346-yGenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessmentBing Yan0Zhining Wen1Lili Xue2Tianyi Wang3Zhichao Liu4Wulin Long5Yi Li6Runyu Jing7State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Head and Neck Oncology Surgery, West China Hospital of Stomatology, Sichuan UniversityCollege of Chemistry, Sichuan UniversityDepartment of Stomatology, The first affiliated hospital of Xiamen UniversityState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Head and Neck Oncology Surgery, West China Hospital of Stomatology, Sichuan UniversityNonclinical Drug Safety, Boehringer Ingelheim Pharmaceuticals, Inc.College of Chemistry, Sichuan UniversityState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Head and Neck Oncology Surgery, West China Hospital of Stomatology, Sichuan UniversitySchool of Cyber Science and Engineering, Sichuan UniversityAbstract The presence of a positive deep surgical margin in tongue squamous cell carcinoma (TSCC) significantly elevates the risk of local recurrence. Therefore, a prompt and precise intraoperative assessment of margin status is imperative to ensure thorough tumor resection. In this study, we integrate Raman imaging technology with an artificial intelligence (AI) generative model, proposing an innovative approach for intraoperative margin status diagnosis. This method utilizes Raman imaging to swiftly and non-invasively capture tissue Raman images, which are then transformed into hematoxylin-eosin (H&E)-stained histopathological images using an AI generative model for histopathological diagnosis. The generated H&E-stained images clearly illustrate the tissue’s pathological conditions. Independently reviewed by three pathologists, the overall diagnostic accuracy for distinguishing between tumor tissue and normal muscle tissue reaches 86.7%. Notably, it outperforms current clinical practices, especially in TSCC with positive lymph node metastasis or moderately differentiated grades. This advancement highlights the potential of AI-enhanced Raman imaging to significantly improve intraoperative assessments and surgical margin evaluations, promising a versatile diagnostic tool beyond TSCC.https://doi.org/10.1038/s41368-025-00346-y |
| spellingShingle | Bing Yan Zhining Wen Lili Xue Tianyi Wang Zhichao Liu Wulin Long Yi Li Runyu Jing GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment International Journal of Oral Science |
| title | GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment |
| title_full | GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment |
| title_fullStr | GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment |
| title_full_unstemmed | GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment |
| title_short | GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment |
| title_sort | genai synthesis of histopathological images from raman imaging for intraoperative tongue squamous cell carcinoma assessment |
| url | https://doi.org/10.1038/s41368-025-00346-y |
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