論文

査読有り
2011年

Metastatic Mucinous Adenocarcinoma of the Ovary Is Characterized by Advanced Patient Age, Small Tumor Size, and Elevated Serum CA125

GYNECOLOGIC AND OBSTETRIC INVESTIGATION
  • Makiko Maeda-Taniguchi
  • Yutaka Ueda
  • Takahito Miyake
  • Takashi Miyatake
  • Toshihiro Kimura
  • Kiyoshi Yoshino
  • Masami Fujita
  • Tomoko Wakasa
  • Hiroshi Ohashi
  • Eiichi Morii
  • Takayuki Enomoto
  • Tadashi Kimura
  • 全て表示

72
3
開始ページ
196
終了ページ
202
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1159/000323962
出版者・発行元
KARGER

Background/Aims: An intraoperative diagnosis in cases with primary and metastatic ovarian carcinomas is important for adequate treatment. The aim of the present study was to find a reliable method to discriminate primary from metastatic mucinous adenocarcinomas (MACs) of the ovary intraoperatively. Methods: Clinical features of all primary and metastatic mucinous ovarian carcinomas diagnosed from 1994 to 2008 at the Osaka University and Osaka Rosai Hospitals, Osaka, Japan, were reviewed retrospectively. Results: Among the 73 MACs, 51 (70%) and 22 cases (30%) were diagnosed as primary and metastatic ovarian carcinomas, respectively. The distributions of tumor size, patient age, and serum CA125 level were significantly different between primary and metastatic cases. Our algorithm that categorizes patients 6 50 years whose tumor size was < 10 cm into metastatic cases, and patients < 50 years, or the ones whose tumor size was 6 10 cm, into primary tumors, provided an 84% accuracy in our population. Conclusions: A more reliable method to discriminate primary from metastatic MACs of the ovary by patient age and serum tumor markers was derived from our study population. Copyright (C) 2011 S. Karger AG, Basel

リンク情報
DOI
https://doi.org/10.1159/000323962
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/21893929
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000296509800010&DestApp=WOS_CPL
ID情報
  • DOI : 10.1159/000323962
  • ISSN : 0378-7346
  • PubMed ID : 21893929
  • Web of Science ID : WOS:000296509800010

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