Optical biopsy technique for detection of aganglionosis in Hirschsprung disease by Raman spectroscopy combined with deep learning

Yuki Matsumoto; Katsuhiro Ogawa; Kai Tamura; Rena Yagi; Shun Onishi; Satoshi Ieiri; Tsuyoshi Etoh M.D.; Masafumi Inomata; Takashi Katagiri; Yusuke Oshima

doi:10.1117/12.2650175

6 March 2023 Optical biopsy technique for detection of aganglionosis in Hirschsprung disease by Raman spectroscopy combined with deep learning

Yuki Matsumoto, Katsuhiro Ogawa, Kai Tamura, Rena Yagi, Shun Onishi, Satoshi Ieiri, Tsuyoshi Etoh M.D., Masafumi Inomata, Takashi Katagiri, Yusuke Oshima

Author Affiliations +

Proceedings Volume 12368, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI; 123680B (2023) https://doi.org/10.1117/12.2650175
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

In this study, we aimed to develop a new optical biopsy technique for aganglionosis of Hirschsprung disease (HSCR) and we then evaluated a custom designed Raman optical biopsy system combined with deep learning based on convolutional neural networks (CNNs). Surgical specimens of formalin-fixed tissue of HSCR patients were subjected to this study. In the result, we achieved more than 90% classification accuracy between the normal and the lesion segments in mucosa. This study shows that CNN is useful for discriminating Raman spectra of the human gastrointestinal wall.

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Yuki Matsumoto, Katsuhiro Ogawa, Kai Tamura, Rena Yagi, Shun Onishi, Satoshi Ieiri, Tsuyoshi Etoh M.D., Masafumi Inomata, Takashi Katagiri, and Yusuke Oshima "Optical biopsy technique for detection of aganglionosis in Hirschsprung disease by Raman spectroscopy combined with deep learning", Proc. SPIE 12368, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI, 123680B (6 March 2023); https://doi.org/10.1117/12.2650175

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