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Research ArticleClinical Studies

Prediction of Results of Radiotherapy With Ku70 Expression and an Artificial Neural Network

TOMOKAZU HASEGAWA, MASANORI SOMEYA, MASAKAZU HORI, TAKAAKI TSUCHIYA, YUUKI FUKUSHIMA, YOSHIHISA MATSUMOTO and KOH-ICHI SAKATA
In Vivo September 2020, 34 (5) 2865-2872; DOI: https://doi.org/10.21873/invivo.12114
TOMOKAZU HASEGAWA
1Department of Radiation Oncology, Sapporo Medical University School of Medicine, Sapporo, Japan
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  • For correspondence: hasse{at}sapmed.ac.jp
MASANORI SOMEYA
1Department of Radiation Oncology, Sapporo Medical University School of Medicine, Sapporo, Japan
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MASAKAZU HORI
1Department of Radiation Oncology, Sapporo Medical University School of Medicine, Sapporo, Japan
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TAKAAKI TSUCHIYA
1Department of Radiation Oncology, Sapporo Medical University School of Medicine, Sapporo, Japan
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YUUKI FUKUSHIMA
1Department of Radiation Oncology, Sapporo Medical University School of Medicine, Sapporo, Japan
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YOSHIHISA MATSUMOTO
2Research Laboratory for Nuclear Reactors, Tokyo Institute of Technology, Tokyo, Japan
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KOH-ICHI SAKATA
1Department of Radiation Oncology, Sapporo Medical University School of Medicine, Sapporo, Japan
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    Figure 1.

    The architecture of the ANN model used for predictions of PSA relapse in prostate cancer and locoregional recurrence in hypopharyngeal cancer.

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    Figure 2.

    Expression of Ku70 protein (brown; arrows) in prostate and hypopharyngeal cancer cells from biopsy specimens. Original magnification was ×400.

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Vol. 34, Issue 5
September-October 2020
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Prediction of Results of Radiotherapy With Ku70 Expression and an Artificial Neural Network
TOMOKAZU HASEGAWA, MASANORI SOMEYA, MASAKAZU HORI, TAKAAKI TSUCHIYA, YUUKI FUKUSHIMA, YOSHIHISA MATSUMOTO, KOH-ICHI SAKATA
In Vivo Sep 2020, 34 (5) 2865-2872; DOI: 10.21873/invivo.12114

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Prediction of Results of Radiotherapy With Ku70 Expression and an Artificial Neural Network
TOMOKAZU HASEGAWA, MASANORI SOMEYA, MASAKAZU HORI, TAKAAKI TSUCHIYA, YUUKI FUKUSHIMA, YOSHIHISA MATSUMOTO, KOH-ICHI SAKATA
In Vivo Sep 2020, 34 (5) 2865-2872; DOI: 10.21873/invivo.12114
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Keywords

  • prediction
  • artificial neural network
  • Ku70
  • radiotherapy
  • prostate cancer
  • hypopharyngeal cancer
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