Effect of spatial resolution on the diagnostic performance of machine-learning radiomics model in lung adenocarcinoma: comparisons between normal- and high-spatial-resolution imaging for predicting invasiveness.

Journal: Japanese journal of radiology
Published Date: Jul 31, 2025

Abstract

PURPOSE: To construct two machine learning radiomics (MLR) for invasive adenocarcinoma (IVA) prediction using normal-spatial-resolution (NSR) and high-spatial-resolution (HSR) training cohorts, and to validate models (model-NSR and -HSR) in another test cohort while comparing independent radiologists' (R1, R2) performance with and without model-HSR.

Authors

  • Masahiro Yanagawa
    Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
  • Yukihiro Nagatani
    Department of Radiology, Shiga University of Medical Science, Seta Tsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
  • Akinori Hata
    Department of Radiology, Osaka University Graduate School of Medicine.
  • Hiromitsu Sumikawa
    Department of Radiology, Kinki-Chuo Chest Medical Center, 1180 Nagasone-cho, Kita-ku, Sakai-City, 591-8555, Japan.
  • Hiroshi Moriya
    Department of Radiology, Ohara General Hospital, 6-1 Uwamachi, Fukushima-city, Fukushima, 960-861, Japan.
  • Shingo Iwano
    Department of Radiology, Nagoya University Graduate School of Medicine, Showa-ku, Nagoya, Japan.
  • Nanae Tsuchiya
    Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, 1076 Kiyuna, Ginowan-shi, Okinawa, 901-2720, Japan. ntsuchi@med-ryukyu.ac.jp.
  • Tae Iwasawa
    Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Kanagawa, 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.).
  • Noriyuki Tomiyama
    Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.

Keywords

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