Coronary computed tomography angiographic detection of in-stent restenosis via deep learning reconstruction: a feasibility study.

Journal: European radiology
PMID: 37672056

Abstract

OBJECTIVES: Evaluation of in-stent restenosis (ISR), especially for small stents, remains challenging during computed tomography (CT) angiography. We used deep learning reconstruction to quantify stent strut thickness and lumen vessel diameter at the stent and compared it with values obtained using conventional reconstruction strategies.

Authors

  • Hideki Kawai
    Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan. hkawai@fujita-hu.ac.jp.
  • Sadako Motoyama
    Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan.
  • Masayoshi Sarai
    Fujita Health University Hospital, Toyoake, Japan.
  • Yoshihiro Sato
    Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan.
  • Takahiro Matsuyama
    Department of Radiology, Fujita Health University School of Medicine, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Ryota Matsumoto
    Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan.
  • Hiroshi Takahashi
    Department of Respiratory Medicine, Saka General Hospital, Sendai, Japan.
  • Akio Katagata
    Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan.
  • Yumi Kataoka
    Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan.
  • Yoshihiro Ida
    Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan.
  • Takashi Muramatsu
    Department of Cardiology, Cardiovascular Center, Fujita Health University Hospital, Toyoake, Aichi, Japan.
  • Yoshiharu Ohno
    From the Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan (Y.O.); Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan (Y.O.); Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.O., S.S., T.Y.); Canon Medical Systems, Otawara, Japan (K.A.); Corporate Research and Development Center, Toshiba, Kawasaki, Japan (A.Y.); Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (Y.U., Y.K.); Department of Radiology, Kohnan Hospital, Kobe, Japan (Y.K.); and Department of Radiology, Hyogo Cancer Center, Akashi, Japan (D.T.).
  • Yukio Ozaki
    Department of Cardiology, Fujita Health University Okazaki Medical Center, Okazaki, Aichi, Japan.
  • Hiroshi Toyama
    School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake cho, Toyoake City, Aichi, 470-1192, Japan.
  • Jagat Narula
  • Hideo Izawa
    Department of Cardiology, Cardiovascular Center, Fujita Health University Hospital, Toyoake, Aichi, Japan.

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