Literature DB >> 27193795

Differentiation of mass-forming intrahepatic cholangiocarcinoma from poorly differentiated hepatocellular carcinoma: based on the multivariate analysis of contrast-enhanced computed tomography findings.

Yi-Jun Zhao1, Wei-Xia Chen2, Dong-Sheng Wu3, Wen-Yan Zhang4, Li-Rong Zheng1.   

Abstract

PURPOSE: We aim to gain further insight into identifying differential radiological features of mass-forming intrahepatic cholangiocarcinoma (mICC) from poorly differentiated hepatocellular carcinoma (pHCC) on contrast-enhanced computed tomography (CT).
MATERIALS AND METHODS: 107 patients with pathologically confirmed mICC (n = 48) and pHCC (n = 59) who had undergone preoperative contrast-enhanced CT were enrolled. Qualitative analysis of CT images were evaluated for tumor demarcation, shape, presence of satellite nodules, capsular retraction, biliary involvement, intratumoral arteries, tortuous tumoral vessels, vascular invasion, portal vein tumor thrombus, arterial enhancement pattern, portal venous phase enhancement, and washout pattern. Quantitative analysis was performed for mean attenuation of tumor and tumor-to-liver contrast during each phase. The degree of arterial enhancement was graded based on quantitative measurements.
RESULTS: A lobulated shape, indistinct margin, peripheral rim enhancement in the arterial phase, and the presence of bile duct dilatation were CT features favoring mICC, whereas a round shape, partially indistinct margin, heterogeneous enhancement in the arterial phase, washout pattern and the presence of tortuous tumoral vessels were CT features favoring pHCC in the univariate analysis (P < 0.05). Tumor-to-liver contrast of pHCC was greater than that of mICC during the arterial phase (P = 0.015). In the multivariate analysis, bile duct dilatation, tortuous tumoral vessels, and a washout pattern were independent CT features for distinguishing between the two types. (P = 0.003, P = 0.003, P = 0.044, respectively).
CONCLUSION: The absence of a washout pattern and tortuous tumoral vessels and presence of bile duct dilatation are more indicative of mICC than of pHCC on contrast-enhanced CT.

Entities:  

Keywords:  Contrast-enhanced computed tomography; Differential diagnosis; Liver; Mass-forming intrahepatic cholangiocarcinoma; Poorly differentiated hepatocellular carcinoma

Mesh:

Substances:

Year:  2016        PMID: 27193795     DOI: 10.1007/s00261-015-0629-z

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  11 in total

Review 1.  Radiomics of Biliary Tumors: A Systematic Review of Current Evidence.

Authors:  Francesco Fiz; Visala S Jayakody Arachchige; Matteo Gionso; Ilaria Pecorella; Apoorva Selvam; Dakota Russell Wheeler; Martina Sollini; Luca Viganò
Journal:  Diagnostics (Basel)       Date:  2022-03-28

2.  Predicting peritumoral Glisson's sheath invasion of intrahepatic cholangiocarcinoma with preoperative CT imaging.

Authors:  Yingfan Mao; Yong Zhu; Yudong Qiu; Weiwei Kong; Liang Mao; Qun Zhou; Jun Chen; Jian He
Journal:  Quant Imaging Med Surg       Date:  2019-02

Review 3.  Atypical Appearance of Hepatocellular Carcinoma and Its Mimickers: How to Solve Challenging Cases Using Gadoxetic Acid-Enhanced Liver Magnetic Resonance Imaging.

Authors:  Jae Hyun Kim; Ijin Joo; Jeong Min Lee
Journal:  Korean J Radiol       Date:  2019-07       Impact factor: 3.500

4.  Hepatocellular carcinoma with hilar bile duct tumor thrombus versus hilar Cholangiocarcinoma on enhanced computed tomography: a diagnostic challenge.

Authors:  Xiaoqi Zhou; Jifei Wang; Mimi Tang; Mengqi Huang; Ling Xu; Zhenpeng Peng; Zi-Ping Li; Shi-Ting Feng
Journal:  BMC Cancer       Date:  2020-01-22       Impact factor: 4.430

5.  Clinicopathological and radiological significance of the collateral vessels of renal cell carcinoma on preoperative computed tomography.

Authors:  Xueling Suo; Junru Chen; Yijun Zhao; Qidun Tang; Xibiao Yang; Yuan Yuan; Ling Nie; Ni Chen; Hao Zeng; Jin Yao
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

6.  Application of Radiomics Analysis Based on CT Combined With Machine Learning in Diagnostic of Pancreatic Neuroendocrine Tumors Patient's Pathological Grades.

Authors:  Tao Zhang; YueHua Zhang; Xinglong Liu; Hanyue Xu; Chaoyue Chen; Xuan Zhou; Yichun Liu; Xuelei Ma
Journal:  Front Oncol       Date:  2021-02-11       Impact factor: 6.244

7.  Value of perfusion parameters histogram analysis of triphasic CT in differentiating intrahepatic mass forming cholangiocarcinoma from hepatocellular carcinoma.

Authors:  Fang Zhao; Guodong Pang; Xuejing Li; Shuo Yang; Hai Zhong
Journal:  Sci Rep       Date:  2021-11-30       Impact factor: 4.379

8.  Radiomics Analysis of Contrast-Enhanced CT for the Preoperative Prediction of Microvascular Invasion in Mass-Forming Intrahepatic Cholangiocarcinoma.

Authors:  Fei Xiang; Shumei Wei; Xingyu Liu; Xiaoyuan Liang; Lili Yang; Sheng Yan
Journal:  Front Oncol       Date:  2021-11-19       Impact factor: 6.244

9.  Association of dysmorphic intratumoral vessel with high lung shunt fraction in patients with hepatocellular carcinoma.

Authors:  Tae Won Choi; Ijin Joo; Hyo-Cheol Kim
Journal:  Sci Rep       Date:  2022-08-21       Impact factor: 4.996

10.  The preoperative prognostic value of the radiomics nomogram based on CT combined with machine learning in patients with intrahepatic cholangiocarcinoma.

Authors:  Youyin Tang; Tao Zhang; Xianghong Zhou; Yunuo Zhao; Hanyue Xu; Yichun Liu; Hang Wang; Zheyu Chen; Xuelei Ma
Journal:  World J Surg Oncol       Date:  2021-08-01       Impact factor: 2.754

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