Tumor Laterality Predicts Pelvic Lymph Node Metastasis Patterns in Bladder Cancer.

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Title: Tumor Laterality Predicts Pelvic Lymph Node Metastasis Patterns in Bladder Cancer.
Authors: Hajime T; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.; Department of Urology, Nakatsu Municipal Hospital, Nakatsu, Japan., Shiota M; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. shiota.masaki.101@m.kyushu-u.ac.jp., Fukuchi G; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan., Mutaguchi J; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan., Matsumoto T; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan., Tanegashima T; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan., Tsukahara S; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan., Kobayashi S; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan., Eto M; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Source: Annals of surgical oncology [Ann Surg Oncol] 2026 Apr; Vol. 33 (4), pp. 3752-3757. Date of Electronic Publication: 2026 Jan 16.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 9420840 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4681 (Electronic) Linking ISSN: 10689265 NLM ISO Abbreviation: Ann Surg Oncol Subsets: MEDLINE
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  Data: Tumor Laterality Predicts Pelvic Lymph Node Metastasis Patterns in Bladder Cancer.
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  Data: <searchLink fieldCode="AU" term="%22Hajime+T%22">Hajime T</searchLink>; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.; Department of Urology, Nakatsu Municipal Hospital, Nakatsu, Japan.<br /><searchLink fieldCode="AU" term="%22Shiota+M%22">Shiota M</searchLink>; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. shiota.masaki.101@m.kyushu-u.ac.jp.<br /><searchLink fieldCode="AU" term="%22Fukuchi+G%22">Fukuchi G</searchLink>; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.<br /><searchLink fieldCode="AU" term="%22Mutaguchi+J%22">Mutaguchi J</searchLink>; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.<br /><searchLink fieldCode="AU" term="%22Matsumoto+T%22">Matsumoto T</searchLink>; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.<br /><searchLink fieldCode="AU" term="%22Tanegashima+T%22">Tanegashima T</searchLink>; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.<br /><searchLink fieldCode="AU" term="%22Tsukahara+S%22">Tsukahara S</searchLink>; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.<br /><searchLink fieldCode="AU" term="%22Kobayashi+S%22">Kobayashi S</searchLink>; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.<br /><searchLink fieldCode="AU" term="%22Eto+M%22">Eto M</searchLink>; Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9420840 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1534-4681 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210689265%22">10689265 </searchLink><i>NLM ISO Abbreviation: </i>Ann Surg Oncol <i>Subsets: </i>MEDLINE
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        Value: 10.1245/s10434-026-19088-0
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      – Code: eng
        Text: English
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      – TitleFull: Tumor Laterality Predicts Pelvic Lymph Node Metastasis Patterns in Bladder Cancer.
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              M: 04
              Text: 2026 Apr
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              Y: 2026
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