Quantitative Ultrasound Image Analysis Helps in the Differentiation of Hepatocellular Carcinoma (HCC) From Borderline Lesions and Predicting the Histologic Grade of HCC and Microvascular Invasion

Naoki Matsumoto, Masahiro Ogawa, Masahiro Kaneko, Mariko Kumagawa, Yukinobu Watanabe, Midori Hirayama, Hiroshi Nakagawara, Ryota Masuzaki, Tatsuo Kanda, Mitsuhiko Moriyama, Tadatoshi Takayama, Masahiko Sugitani

研究成果: ジャーナルへの寄稿記事査読

4 被引用数 (Scopus)

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「Quantitative Ultrasound Image Analysis Helps in the Differentiation of Hepatocellular Carcinoma (HCC) From Borderline Lesions and Predicting the Histologic Grade of HCC and Microvascular Invasion」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

Medicine and Dentistry