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Predictors for trifecta achievement of robot-assisted partial nephrectomy in high-complexity tumors (Preoperative Aspects and Dimensions Used for an Anatomical score ≥10).
Takahara, Kiyoshi; Sumitomo, Makoto; Fukaya, Kosuke; Jyoudai, Takahito; Nishino, Masashi; Hikichi, Masaru; Nukaya, Takuhisa; Zennami, Kenji; Ichino, Manabu; Fukami, Naohiko; Sasaki, Hitomi; Kusaka, Mamoru; Shiroki, Ryoichi.
Afiliação
  • Takahara K; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Sumitomo M; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Fukaya K; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Jyoudai T; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Nishino M; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Hikichi M; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Nukaya T; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Zennami K; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Ichino M; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Fukami N; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Sasaki H; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Kusaka M; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
  • Shiroki R; Department of Urology, Fujita Health University School of Medicine, Toyoake, Japan.
Asian J Endosc Surg ; 13(3): 390-396, 2020 Jul.
Article em En | MEDLINE | ID: mdl-31823487
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article