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

2019 ◽  
Vol 29 (7) ◽  
pp. 3725-3735 ◽  
Author(s):  
Gu-Wei Ji ◽  
Fei-Peng Zhu ◽  
Yu-Dong Zhang ◽  
Xi-Sheng Liu ◽  
Fei-Yun Wu ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Clinical Outcome ◽  
Intrahepatic Cholangiocarcinoma ◽  
Node Metastasis

scholarly journals Intrahepatic cholangiocarcinoma patients without indications of lymph node metastasis not benefit from lymph node dissection

Oncotarget ◽  
2017 ◽  
Vol 8 (69) ◽  
pp. 113817-113827 ◽  
Author(s):  
Jie Hu ◽  
Fei-Yu Chen ◽  
Kai-Qian Zhou ◽  
Cheng Zhou ◽  
Ya Cao ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Node Dissection ◽  
Intrahepatic Cholangiocarcinoma ◽  
Node Dissection ◽  
Node Metastasis

A long-term survivor of intrahepatic cholangiocarcinoma with paraaortic lymph node metastasis

2006 ◽  
Vol 41 (4) ◽  
pp. 391-392 ◽  
Author(s):  
Takahiro Uenishi ◽  
Osamu Yamazaki ◽  
Katsuhiko Horii ◽  
Takatsugu Yamamoto ◽  
Shoji Kubo
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Intrahepatic Cholangiocarcinoma ◽  
Paraaortic Lymph Node ◽  
Node Metastasis ◽  
Paraaortic Lymph Node Metastasis ◽  
Term Survivor

scholarly journals The prognostic role of lymphovascular invasion and lymph node metastasis in perihilar and intrahepatic cholangiocarcinoma

HPB ◽  
2020 ◽  
Vol 22 ◽  
pp. S264-S265
Author(s):  
J. Bednarsch ◽  
Z. Czigany ◽  
I. Amygdalos ◽  
D Morales Santana ◽  
M. Den Dulk ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Intrahepatic Cholangiocarcinoma ◽  
Lymphovascular Invasion ◽  
Prognostic Role ◽  
Node Metastasis

Low Incidence of Lymph Node Metastasis After Resection of Hepatitis Virus-Related Intrahepatic Cholangiocarcinoma

2016 ◽  
Vol 41 (4) ◽  
pp. 1082-1088 ◽  
Author(s):  
Hiroya Iida ◽  
Masaki Kaibori ◽  
Shogo Tanaka ◽  
Shigekazu Takemura ◽  
Hiroshi Wada ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Intrahepatic Cholangiocarcinoma ◽  
Hepatitis Virus ◽  
Node Metastasis ◽  
Low Incidence

scholarly journals Development and Validation of Nomograms for Predicting Prognosis in Intrahepatic Cholangiocarcinoma Patients with Lymph Node Metastasis

2021 ◽  
Author(s):  
xianmao shi ◽  
Xing Sun ◽  
Xin Qin ◽  
Ze Su ◽  
Zhaoshan Fang ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Intrahepatic Cholangiocarcinoma ◽  
Clinical Decision Making ◽  
Curve Analysis ◽  
Individual Treatment ◽  
Decision Curve Analysis ◽  
Node Metastasis ◽  
Calibration Curves

Abstract Background. Lymph node metastasis (LNM) is one of the common metastatic sites of in advanced-stage intrahepatic cholangiocarcinoma (ICC), and the prognosis of ICC patients with LNM is worse than patients without it. Our study aimed to identify the prognostic factors of ICC patients with LNM, and develop an effective nomogram to quantify the prognosis of ICC patients with LNM.Methods. We retrospectively reviewed the data of ICC patients between 2010 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic analysis were used to determine the independent predictors for LNM in patients with ICC. Univariate and multivariate Cox analyses were used to identify the independent prognostic factors for ICC patients with LNM. Finally, two nomograms for predicting overall survival (OS) and cause-specific survival (CSS) were established, and the nomogram of predicting OS was evaluated by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA).Results. A total of 1539 patients with ICC were enrolled into our analysis, including 381 cases (24.76%) with LNM at initial diagnosis and 1158 cases (75.24%) without it. The independent risk factors for LNM in newly diagnosed ICC patients are age, T stage, and tumor size. The independent prognostic factors for ICC patients with LNM are grade, chemotherapy, and surgery of primary site. For the prognostic nomogram for OS, the AUCs of 6-, 12-, and 24-months were 0.809, 0.780, and 0.755 in the training set and 0.806, 0.780, and 0.753 in the testing set, respectively. The calibration curves and decision curve analysis indicated the good performance of the nomogram.Conclusions. The individualized nomogram could predict OS of ICC patients with LNM with good performance, which could be served as an effective tool for prognostic evaluation and individual treatment strategies optimization in ICC patients with LNM, and clinical utility may benefit for clinical decision-making.

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