Literature DB >> 30712167

Current status of imaging biomarkers predicting the biological nature of hepatocellular carcinoma.

Norihide Yoneda1, Osamu Matsui2, Satoshi Kobayashi3, Azusa Kitao2, Kazuto Kozaka2, Dai Inoue2, Kotaro Yoshida2, Tetsuya Minami4, Wataru Koda2, Toshifumi Gabata2.   

Abstract

Hepatocellular carcinoma (HCC) is heterogeneous in terms of its biological nature. Various factors related to its biological nature, including size, multifocality, macroscopic morphology, grade of differentiation, macro/microvascular invasion, bile duct invasion, intra-tumoral fat and molecular factors, and their value as prognostic imaging biomarkers have been reported. And recently, genome-based molecular HCC classification correlated with clinical outcome has been elucidated. The imaging biomarkers suggesting a less aggressive nature of HCC are smaller size, solitary tumor, smooth margin suggesting small nodular type with indistinct margin and simple nodular type with distinct margin, capsule, imaging biomarkers predicting early or well-differentiated grade, intra-tumoral fat detection, and low fluorodeoxyglucose (FDG) accumulation. The imaging biomarkers suggesting an aggressive HCC nature are larger size, multifocality, non-smooth margin suggesting simple nodular type with extranodular growth, confluent multinodular, and infiltrative type, imaging biomarkers predicting poor differentiation, macrovascular tumor thrombus, predicting microvascular invasion imaging biomarkers, bile duct dilatation or tumor thrombus, and high FDG accumulation. In the genome-based molecular classification, CTNNB-1 mutated HCC shows a less aggressive nature, while CK19/EpCAM positive HCC and macrotrabecular massive HCC show an aggressive one. Better understanding of these imaging biomarkers can contribute to devising more appropriate treatment plans for HCC.

Entities:  

Keywords:  Biological nature; Genome-based molecular HCC classification; Hepatocellular carcinoma; Imaging biomarkers

Mesh:

Substances:

Year:  2019        PMID: 30712167     DOI: 10.1007/s11604-019-00817-3

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  83 in total

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3.  Expression of mutant nuclear beta-catenin correlates with non-invasive hepatocellular carcinoma, absence of portal vein spread, and good prognosis.

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Journal:  J Pathol       Date:  2001-01       Impact factor: 7.996

4.  Correlation between the blood supply and grade of malignancy of hepatocellular nodules associated with liver cirrhosis: evaluation by CT during intraarterial injection of contrast medium.

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Journal:  J Hepatol       Date:  2000-12       Impact factor: 25.083

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Authors:  R Kutami; Y Nakashima; O Nakashima; K Shiota; M Kojiro
Journal:  J Hepatol       Date:  2000-08       Impact factor: 25.083

7.  The role of macroscopic classification in nodular-type hepatocellular carcinoma.

Authors:  M Shimada; T Rikimaru; T Hamatsu; Y Yamashita; T Terashi; K Taguchi; S Tanaka; K Shirabe; K Sugimachi
Journal:  Am J Surg       Date:  2001-08       Impact factor: 2.565

8.  Obstructive jaundice caused by tumor emboli from hepatocellular carcinoma.

Authors:  J Hu; Z Pi; M Y Yu; Y Li; S Xiong
Journal:  Am Surg       Date:  1999-05       Impact factor: 0.688

9.  Superparamagnetic iron oxide-enhanced magnetic resonance images of hepatocellular carcinoma: correlation with histological grading.

Authors:  Y Imai; T Murakami; S Yoshida; M Nishikawa; M Ohsawa; K Tokunaga; M Murata; K Shibata; S Zushi; M Kurokawa; T Yonezawa; S Kawata; M Takamura; H Nagano; M Sakon; M Monden; K Wakasa; H Nakamura
Journal:  Hepatology       Date:  2000-08       Impact factor: 17.425

10.  Vascular invasion and histopathologic grading determine outcome after liver transplantation for hepatocellular carcinoma in cirrhosis.

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Journal:  Hepatology       Date:  2001-05       Impact factor: 17.425

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Authors:  Matthias Holzlechner; Eliseo Eugenin; Brendan Prideaux
Journal:  Cancer Rep (Hoboken)       Date:  2019-12

Review 2.  Individualized Ablation of Hepatocellular Carcinoma: Tailored Approaches across the Phenotype Spectrum.

Authors:  Zlatko Devcic; Mohamed Elboraey; Lucas Vidal; Kabir Mody; Denise Harnois; Tushar Patel; Beau B Toskich
Journal:  Semin Intervent Radiol       Date:  2019-10-31       Impact factor: 1.513

Review 3.  Advanced CT techniques for assessing hepatocellular carcinoma.

Authors:  Yuko Nakamura; Toru Higaki; Yukiko Honda; Fuminari Tatsugami; Chihiro Tani; Wataru Fukumoto; Keigo Narita; Shota Kondo; Motonori Akagi; Kazuo Awai
Journal:  Radiol Med       Date:  2021-05-05       Impact factor: 3.469

4.  Serum alanine aminotransferase to hemoglobin ratio and radiological features predict the prognosis of postoperative adjuvant TACE in patients with hepatocellular carcinoma.

Authors:  Zicong Xia; Yulou Zhao; Hui Zhao; Jing Zhang; Cheng Liu; Wenwu Lu; Lele Wang; Kang Chen; Junkai Yang; Jiahong Zhu; Wenjing Zhao; Aiguo Shen
Journal:  Front Oncol       Date:  2022-09-16       Impact factor: 5.738

5.  Hepatocellular carcinoma pathologic grade prediction using radiomics and machine learning models of gadoxetic acid-enhanced MRI: a two-center study.

Authors:  Yeo Eun Han; Yongwon Cho; Min Ju Kim; Beom Jin Park; Deuk Jae Sung; Na Yeon Han; Ki Choon Sim; Yang Shin Park; Bit Na Park
Journal:  Abdom Radiol (NY)       Date:  2022-09-21

Review 6.  MRI features of histologic subtypes of hepatocellular carcinoma: correlation with histologic, genetic, and molecular biologic classification.

Authors:  Ja Kyung Yoon; Jin-Young Choi; Hyungjin Rhee; Young Nyun Park
Journal:  Eur Radiol       Date:  2022-03-08       Impact factor: 7.034

7.  Hepatocellular carcinoma and macrovascular tumor thrombosis: treatment outcomes and prognostic factors for survival.

Authors:  Nokjung Kim; Myung-Won You
Journal:  Jpn J Radiol       Date:  2019-09-14       Impact factor: 2.374

8.  Noninvasive prediction of HCC with progenitor phenotype based on gadoxetic acid-enhanced MRI.

Authors:  Jie Chen; Zhenru Wu; Chunchao Xia; Hanyu Jiang; Xijiao Liu; Ting Duan; Likun Cao; Zheng Ye; Zhen Zhang; Ling Ma; Bin Song; Yujun Shi
Journal:  Eur Radiol       Date:  2019-09-16       Impact factor: 5.315

Review 9.  Multimodal Imaging-Based Potential Visualization of the Tumor Microenvironment in Bone Metastasis.

Authors:  Jang Bae Moon; Su Woong Yoo; Changho Lee; Dong-Yeon Kim; Ayoung Pyo; Seong Young Kwon
Journal:  Cells       Date:  2021-10-25       Impact factor: 6.600

10.  Comparison of Sonazoid contrast-enhanced ultrasound and gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid MRI for the histological diagnosis of hepatocellular carcinoma.

Authors:  Feiqian Wang; Kazushi Numata; Masahiro Okada; Makoto Chuma; Hiromi Nihonmatsu; Satoshi Moriya; Akito Nozaki; Katsuaki Ogushi; Wen Luo; Litao Ruan; Masayuki Nakano; Masako Otani; Yoshiaki Inayama; Shin Maeda
Journal:  Quant Imaging Med Surg       Date:  2021-06
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