Quantification of Tumor-Related Vessel Length on UF-DCE MRI and Their Association with Breast Cancer Subtypes [Presidential Award Proceedings]

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  • HASHIMOTO Hina
    Department of Human Health Science, Graduate School of Medicine Kyoto University
  • KATAOKA Masako
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine Kyoto University
  • FUJIMOTO Koji
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine Kyoto University Department of Real World Data R&D, Graduate School of Medicine, Kyoto University
  • IIMA Mami
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine Kyoto University Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital
  • TOI Masakazu
    Department of Breast Surgery, Kyoto University Hospital
  • KAWASE Kango
    Jichi Medical University Hospital
  • OHASHI Akane
    Department of Translational Medicine, Diagnostic Radiology, Lund University Department of Imaging and Functional Medicine, Skåne University Hospital
  • HONDA Maya
    Diagnostic Radiology, Kansai Electric Power Hospital
  • NAKAMOTO Yuji
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine Kyoto University

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Other Title
  • UF-DCE MRI画像を用いた腫瘍血管の長さの定量評価および乳がんサブタイプの関連性の検討［大会長賞記録］

Abstract

<p>　Tumor-related vessel length (TVE) was quantified as the number of pixels of skeletonized tumor vessels on ultrafast dynamic contrast-enhanced MRI (UF-DCE MRI). The association between TVE and breast cancer subtypes was investigated. Invasive breast cancer presenting with human epidermal growth factor receptor 2 (HER2) was associated with increased tumor-related vessel length.</p>

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