Ultrasound-based radiomics and machine learning for enhanced diagnosis of knee osteoarthritis: Evaluation of diagnostic accuracy, sensitivity, specificity, and predictive value.

Abstract

Authors

• Takeharu Kiso
  Department of Radiology, Medical Corporation Seireikai Tachikawa Memorial Hospital, 2-12-14 Yakumo, Kasama, Ibaraki 309-1611, Japan.
• Yukinori Okada
  Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan. yokada@sg.med.osaksa-u.ac.jp.
• Satoru Kawata
  Department of Radiology, Faculty of Medical and Health Sciences, Tsukuba International University, 6-20-1 Manabe, Tsuchiura-shi, Ibaraki 300-0051, Japan.
• Kouta Shichiji
  Department of Radiology, Medical Corporation Seireikai Tachikawa Memorial Hospital, 2-12-14 Yakumo, Kasama, Ibaraki 309-1611, Japan.
• Eiichiro Okumura
  Department of Clinical Radiology, Faculty of Health Sciences, Tsukuba International University, 6-20-1, Manabe, Tsuchiura, Ibaraki, 300-0051, Japan. e-okumura@tius.ac.jp.
• Noritaka Hatsumi
  Department of Radiology, Medical Corporation Seireikai Tachikawa Memorial Hospital, 2-12-14 Yakumo, Kasama, Ibaraki 309-1611, Japan.
• Ryohei Matsuura
  Department of Radiology, Medical Corporation Seireikai Tachikawa Memorial Hospital, 2-12-14 Yakumo, Kasama, Ibaraki 309-1611, Japan.
• Masaki Kaminaga
  Department of Radiology, Medical Corporation Seireikai Tachikawa Memorial Hospital, 2-12-14 Yakumo, Kasama, Ibaraki 309-1611, Japan.
• Hikaru Kuwano
  Department of Radiology, Medical Corporation Seireikai Tachikawa Memorial Hospital, 2-12-14 Yakumo, Kasama, Ibaraki 309-1611, Japan.
• Erika Okumura
  Graduate School of Medical Sciences, Suzuka University, 1001-1, Kishioka-cho, Suzuka-shi, Mie 510-0293, Japan.

Keywords

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