Literature DB >> 29656560

Preoperative criterion identifying a low-risk group for lymph node metastasis in intrahepatic cholangiocarcinoma.

Tomoaki Yoh1, Etsuro Hatano2, Satoru Seo1, Hiroaki Terajima3, Yoichiro Uchida3, Kojiro Taura1, Kentaro Yasuchika1, Shinji Uemoto1.   

Abstract

BACKGROUND: Imaging study cannot identify patients with potential low-risk for lymph node (LN) metastasis in intrahepatic cholangiocarcinoma (ICC). The purpose of this study was to identify a low-risk group for LN metastasis in ICC using preoperatively available factors.
METHODS: Data from 127 consecutive patients, who underwent curative intent surgery for ICC at Kyoto University Hospital and Kitano Hospital between 2002 and 2016, were retrospectively analyzed. By using only preoperative data, multiple linear regression model for predicting LN metastasis was developed.
RESULTS: Forty-three patients exhibited LN metastasis (33.9%). Serum CA19-9 levels ≥37 IU/ml, ICC with hilar invasion, and LN swelling were identified as independent preoperative predictors of LN metastasis. The prediction model for LN metastasis using these three factors revealed good discrimination (area under the receiver operating characteristics curve 0.874, P < 0.001). Negative for all three factors (i.e. CA19-9 levels <37 IU/ml, peripheral ICC and no LN swelling) identified 35 patients (27.6%) as a low-risk group, with the false negative rate of 2.3%.
CONCLUSIONS: We proposed a preoperative criterion for predicting LN metastasis, giving rise to the identification of ICC patients who showed a low-risk of LN metastasis.
© 2018 Japanese Society of Hepato-Biliary-Pancreatic Surgery.

Entities:  

Keywords:  Intrahepatic cholangiocarcinoma; Low-risk group; Lymph node metastasis; Surgery

Mesh:

Year:  2018        PMID: 29656560     DOI: 10.1002/jhbp.552

Source DB:  PubMed          Journal:  J Hepatobiliary Pancreat Sci        ISSN: 1868-6974            Impact factor:   7.027


  7 in total

1.  A radiomics approach to predict lymph node metastasis and clinical outcome of intrahepatic cholangiocarcinoma.

Authors:  Gu-Wei Ji; Fei-Peng Zhu; Yu-Dong Zhang; Xi-Sheng Liu; Fei-Yun Wu; Ke Wang; Yong-Xiang Xia; Yao-Dong Zhang; Wang-Jie Jiang; Xiang-Cheng Li; Xue-Hao Wang
Journal:  Eur Radiol       Date:  2019-03-26       Impact factor: 5.315

Review 2.  Resection for intrahepatic cholangiocellular cancer: new advances.

Authors:  Daniel R Waisberg; Rafael S Pinheiro; Lucas S Nacif; Vinicius Rocha-Santos; Rodrigo B Martino; Rubens M Arantes; Liliana Ducatti; Quirino Lai; Wellington Andraus; Luiz C D'Albuquerque
Journal:  Transl Gastroenterol Hepatol       Date:  2018-09-12

3.  Postoperative adjuvant transarterial chemoembolization for intrahepatic cholangiocarcinoma patients with microvascular invasion: a propensity score analysis.

Authors:  Zhangjun Cheng; Zhengqing Lei; Xiaoling Jin; Qi Zhang; Anfeng Si; Pinghua Yang; Jiahua Zhou; Daniel Hartmann; Norbert Hüser; Feng Shen
Journal:  J Gastrointest Oncol       Date:  2021-04

4.  Clinicopathological features and recurrence patterns of combined hepatocellular-cholangiocarcinoma.

Authors:  Takamichi Ishii; Takashi Ito; Shinji Sumiyoshi; Satoshi Ogiso; Ken Fukumitsu; Satoru Seo; Kojiro Taura; Shinji Uemoto
Journal:  World J Surg Oncol       Date:  2020-12-04       Impact factor: 2.754

5.  Deep Learning Radiomics to Predict Regional Lymph Node Staging for Hilar Cholangiocarcinoma.

Authors:  Yubizhuo Wang; Jiayuan Shao; Pan Wang; Lintao Chen; Mingliang Ying; Siyuan Chai; Shijian Ruan; Wuwei Tian; Yongna Cheng; Hongbin Zhang; Xiuming Zhang; Xiangming Wang; Yong Ding; Wenjie Liang; Liming Wu
Journal:  Front Oncol       Date:  2021-10-26       Impact factor: 6.244

6.  Clinical Staging of Mass-Forming Intrahepatic Cholangiocarcinoma: Computed Tomography Versus Magnetic Resonance Imaging.

Authors:  Yeun-Yoon Kim; Suk-Keu Yeom; Seung Soo Lee; Mi-Suk Park; Hyejung Shin; Sang Hyun Choi; Hyungjin Rhee; Ji Hoon Park; Eun-Suk Cho; Sumi Park
Journal:  Hepatol Commun       Date:  2021-08-24

7.  Preoperative prediction of intrahepatic cholangiocarcinoma lymph node metastasis by means of machine learning: a multicenter study in China.

Authors:  Tingfeng Huang; Hongzhi Liu; Zhaowang Lin; Jie Kong; Kongying Lin; Zhipeng Lin; Yifan Chen; Qizhu Lin; Weiping Zhou; Jingdong Li; Jiang-Tao Li; Yongyi Zeng
Journal:  BMC Cancer       Date:  2022-08-29       Impact factor: 4.638

  7 in total

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