コテラ ヨシヒト   Kotera Yoshihito
  小寺 由人
   所属   医学部 医学科(東京女子医科大学病院)
   職種   非常勤講師
論文種別 原著
言語種別 英語
査読の有無 査読なし
表題 Proposal of a novel H category-based classification of colorectal liver metastases based on a Japanese nationwide survey.
掲載誌名 正式名:Journal of hepato-biliary-pancreatic sciences
略  称:J Hepatobiliary Pancreat Sci
ISSNコード:18686982/18686974
掲載区分国外
巻・号・頁 28(4),pp.317-326
著者・共著者 Beppu Toru, Imai Katsunori, Honda Goro, Sakamoto Katsunori, Kobayashi Shin, Endo Itaru, Hasegawa Kiyoshi, Kotake Kenjiro, Itabashi Michio, Hashiguchi Yojiro, Kotera Yoshihito, Yamaguchi Tatsuro, Tabuchi Ken, Kobayashi Hirotoshi, Yamaguchi Kensei, Morita Satoshi, Kikuchi Ken, Miyazaki Masaru, Sugihara Kenichi, Yamamoto Masakazu, Takahashi Keiichi,
発行年月 2021/04
概要 BACKGROUND:The conventional H category-based classification for colorectal liver metastases (CRLM) was created by equal weighting of tumor number and tumor size; however, our previous nomogram to predict postoperative disease-free survival demonstrated that CRLM ≥5 as a parameter provided 4.5 times greater impact compared with a largest CRLM size >5 cm.METHODS:A total of 3815 patients newly diagnosed with CRLM between 2005 and 2007, including 2220 resectable cases, were investigated. Six groups were created based on largest lesion size (≤ 5 vs >5 cm) and lesion number (1, 2-4, and ≥5).RESULTS:The novel (n) H1, nH2, and nH3 categories were defined as solitary lesions with a size ≤5 cm; lesions other than nH1 or nH3; and ≥5 lesions with any lesion size, respectively. In the resectable cohort, the 5-year cumulative overall survival rates were 64.0%, 53.5%, and 42.6% in the nH1, nH2, and nH3 groups, respectively (P < .001), and no significant differences were observed between the conventional H2 and H3 categories. In the overall cohort, the discrimination ability of the two classifications were comparable.CONCLUSION:The novel H category-based classification might be beneficial in predicting overall survival in patients with CRLM independent of their resectability.
DOI 10.1002/jhbp.920
PMID 33609318