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A novel model for predicting posthepatectomy liver failure based on liver function and degree of liver resection in patients with hepatocellular carcinoma

https://hiroshima.repo.nii.ac.jp/records/2006948
https://hiroshima.repo.nii.ac.jp/records/2006948
94d06a25-6d80-4497-91c5-dbba9bc4c3ed
名前 / ファイル ライセンス アクション
HPB_23_134.pdf HPB_23_134.pdf (874.0 KB)
Item type デフォルトアイテムタイプ_(フル)(1)
公開日 2023-03-18
タイトル
タイトル A novel model for predicting posthepatectomy liver failure based on liver function and degree of liver resection in patients with hepatocellular carcinoma
言語 en
作成者 Honmyo, Naruhiko

× Honmyo, Naruhiko

en Honmyo, Naruhiko

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Kobayashi, Tsuyoshi

× Kobayashi, Tsuyoshi

en Kobayashi, Tsuyoshi

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Kuroda, Shintaro

× Kuroda, Shintaro

en Kuroda, Shintaro

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Oshita, Akihiko

× Oshita, Akihiko

en Oshita, Akihiko

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Onoe, Takashi

× Onoe, Takashi

en Onoe, Takashi

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Kohashi, Toshihiko

× Kohashi, Toshihiko

en Kohashi, Toshihiko

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Fukuda, Saburo

× Fukuda, Saburo

en Fukuda, Saburo

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Ohmori, Ichiro

× Ohmori, Ichiro

en Ohmori, Ichiro

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Abe, Tomoyuki

× Abe, Tomoyuki

en Abe, Tomoyuki

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Imaoka, Yasuhiro

× Imaoka, Yasuhiro

en Imaoka, Yasuhiro

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Akita, Tomoyuki

× Akita, Tomoyuki

en Akita, Tomoyuki

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Tanaka, Junko

× Tanaka, Junko

en Tanaka, Junko

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Ohdan, Hideki

× Ohdan, Hideki

en Ohdan, Hideki

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利情報
権利情報 © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
権利情報
権利情報 This is not the published version. Please cite only the published version. この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。
内容記述
内容記述 Background The permissible liver resection rate for preventing posthepatectomy liver failure (PHLF) remains unclear. We aimed to develop a novel PHLF-predicting model and to strategize hepatectomy for hepatocellular carcinoma (HCC). Methods This retrospective study included 335 HCC patients who underwent anatomical hepatectomy at eight institutions between 2013 and 2017. Risk factors, including volume-associated liver-estimating parameters, for PHLF grade B–C were analyzed in a training set (n = 122) via multivariate analysis, and a PHLF prediction model was developed. The utility of the model was evaluated in a validation set (n = 213). Results Our model was based on the three independent risk factors for PHLF identified in the training set: volume-associated indocyanine green retention rate at 15 min, platelet count, and prothrombin time index (the VIPP score). The areas under the receiver operating characteristic curve of the VIPP scores for severe PHLF in the training and validation sets were 0.864 and 0.794, respectively. In both sets, the VIPP score stratified patients at risk for severe PHLF, with a score of 3 (specificity, 0.92) indicating higher risk. Conclusion Our model facilitates the selection of the appropriate hepatectomy procedure by providing permissible liver resection rates based on VIPP scores.
言語 en
内容記述
内容記述タイプ Other
内容記述 This research was supported by the Japan Agency for Medical Research and Development (AMED, grant number JP19fk0210051) and the Japanese Society for the Promotion of Science (JSPS KAKENHI, grant number JP18K08706)
出版者
出版者 Elsevier
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
出版タイプ
出版タイプ AO
出版タイプResource http://purl.org/coar/version/c_b1a7d7d4d402bcce
関連情報
識別子タイプ DOI
関連識別子 10.1016/j.hpb.2020.05.008
関連情報
識別子タイプ DOI
関連識別子 https://doi.org/10.1016/j.hpb.2020.05.008
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 1365-182X
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 1477-2574
開始ページ
開始ページ 134
書誌情報 HPB
HPB

巻 23, 号 1, p. 134-143, 発行日 2021-01
旧ID 51516
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