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The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer

  • Authors:
    • Takahisa Akashi
    • Tomoyuki Okumura
    • Kenji Terabayashi
    • Yuki Yoshino
    • Haruyoshi Tanaka
    • Takeyoshi Yamazaki
    • Yoshihisa Numata
    • Takuma Fukuda
    • Takahiro Manabe
    • Hayato Baba
    • Takeshi Miwa
    • Toru Watanabe
    • Katsuhisa Hirano
    • Takamichi Igarashi
    • Shinichi Sekine
    • Isaya Hashimoto
    • Kazuto Shibuya
    • Shozo Hojo
    • Isaku Yoshioka
    • Koshi Matsui
    • Akane Yamada
    • Tohru Sasaki
    • Tsutomu Fujii
  • View Affiliations / Copyright

    Affiliations: Department of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 930‑0194, Japan, Department of Surgery and Science, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama 930‑0194, Japan, Department of Mechanical and Intellectual Systems Engineering, Faculty of Engineering, University of Toyama, Toyama 930‑8555, Japan, Department of Mechanical and Intellectual Systems Engineering, Faculty of Engineering, University of Toyama, Toyama 930‑8555, Japan
    Copyright: © Akashi et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 320
    |
    Published online on: June 8, 2023
       https://doi.org/10.3892/ol.2023.13906
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Abstract

Despite recent advances in multidisciplinary treatments of esophageal squamous cell carcinoma (ESCC), patients frequently suffer from distant metastasis after surgery. For numerous types of cancer, circulating tumor cells (CTCs) are considered predictors of distant metastasis, therapeutic response and prognosis. However, as more markers of cytopathological heterogeneity are discovered, the overall detection process for the expression of these markers in CTCs becomes increasingly complex and time consuming. In the present study, the use of a convolutional neural network (CNN)‑based artificial intelligence (AI) for CTC detection was assessed using KYSE ESCC cell lines and blood samples from patients with ESCC. The AI algorithm distinguished KYSE cells from peripheral blood‑derived mononuclear cells (PBMCs) from healthy volunteers, accompanied with epithelial cell adhesion molecule (EpCAM) and nuclear DAPI staining, with an accuracy of >99.8% when the AI was trained on the same KYSE cell line. In addition, AI trained on KYSE520 distinguished KYSE30 from PBMCs with an accuracy of 99.8%, despite the marked differences in EpCAM expression between the two KYSE cell lines. The average accuracy of distinguishing KYSE cells from PBMCs for the AI and four researchers was 100 and 91.8%, respectively (P=0.011). The average time to complete cell classification for 100 images by the AI and researchers was 0.74 and 630.4 sec, respectively (P=0.012). The average number of EpCAM‑positive/DAPI‑positive cells detected in blood samples by the AI was 44.5 over 10 patients with ESCC and 2.4 over 5 healthy volunteers (P=0.019). These results indicated that the CNN‑based image processing algorithm for CTC detection provides a higher accuracy and shorter analysis time compared to humans, suggesting its applicability for clinical use in patients with ESCC. Moreover, the finding that AI accurately identified even EpCAM‑negative KYSEs suggested that the AI algorithm may distinguish CTCs based on as yet unknown features, independent of known marker expression.
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Copy and paste a formatted citation
Spandidos Publications style
Akashi T, Okumura T, Terabayashi K, Yoshino Y, Tanaka H, Yamazaki T, Numata Y, Fukuda T, Manabe T, Baba H, Baba H, et al: The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer. Oncol Lett 26: 320, 2023.
APA
Akashi, T., Okumura, T., Terabayashi, K., Yoshino, Y., Tanaka, H., Yamazaki, T. ... Fujii, T. (2023). The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer. Oncology Letters, 26, 320. https://doi.org/10.3892/ol.2023.13906
MLA
Akashi, T., Okumura, T., Terabayashi, K., Yoshino, Y., Tanaka, H., Yamazaki, T., Numata, Y., Fukuda, T., Manabe, T., Baba, H., Miwa, T., Watanabe, T., Hirano, K., Igarashi, T., Sekine, S., Hashimoto, I., Shibuya, K., Hojo, S., Yoshioka, I., Matsui, K., Yamada, A., Sasaki, T., Fujii, T."The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer". Oncology Letters 26.1 (2023): 320.
Chicago
Akashi, T., Okumura, T., Terabayashi, K., Yoshino, Y., Tanaka, H., Yamazaki, T., Numata, Y., Fukuda, T., Manabe, T., Baba, H., Miwa, T., Watanabe, T., Hirano, K., Igarashi, T., Sekine, S., Hashimoto, I., Shibuya, K., Hojo, S., Yoshioka, I., Matsui, K., Yamada, A., Sasaki, T., Fujii, T."The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer". Oncology Letters 26, no. 1 (2023): 320. https://doi.org/10.3892/ol.2023.13906
Copy and paste a formatted citation
x
Spandidos Publications style
Akashi T, Okumura T, Terabayashi K, Yoshino Y, Tanaka H, Yamazaki T, Numata Y, Fukuda T, Manabe T, Baba H, Baba H, et al: The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer. Oncol Lett 26: 320, 2023.
APA
Akashi, T., Okumura, T., Terabayashi, K., Yoshino, Y., Tanaka, H., Yamazaki, T. ... Fujii, T. (2023). The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer. Oncology Letters, 26, 320. https://doi.org/10.3892/ol.2023.13906
MLA
Akashi, T., Okumura, T., Terabayashi, K., Yoshino, Y., Tanaka, H., Yamazaki, T., Numata, Y., Fukuda, T., Manabe, T., Baba, H., Miwa, T., Watanabe, T., Hirano, K., Igarashi, T., Sekine, S., Hashimoto, I., Shibuya, K., Hojo, S., Yoshioka, I., Matsui, K., Yamada, A., Sasaki, T., Fujii, T."The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer". Oncology Letters 26.1 (2023): 320.
Chicago
Akashi, T., Okumura, T., Terabayashi, K., Yoshino, Y., Tanaka, H., Yamazaki, T., Numata, Y., Fukuda, T., Manabe, T., Baba, H., Miwa, T., Watanabe, T., Hirano, K., Igarashi, T., Sekine, S., Hashimoto, I., Shibuya, K., Hojo, S., Yoshioka, I., Matsui, K., Yamada, A., Sasaki, T., Fujii, T."The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer". Oncology Letters 26, no. 1 (2023): 320. https://doi.org/10.3892/ol.2023.13906
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