Literature DB >> 9885591

Small hepatocellular carcinoma: relationship of signal intensity to histopathologic findings and metal content of the tumor and surrounding hepatic parenchyma.

M Ebara1, H Fukuda, Y Kojima, N Morimoto, M Yoshikawa, N Sugiura, T Satoh, F Kondo, M Yukawa, T Matsumoto, H Saisho.   

Abstract

PURPOSE: To investigate the relationship between the metal content of hepatocellular carcinoma (HCC) and the signal intensity pattern on magnetic resonance images.
MATERIALS AND METHODS: The signal intensity patterns of 59 HCCs 3 cm in diameter or smaller were correlated with histologic findings and metal content.
RESULTS: HCCs with high signal intensity on T1-weighted images demonstrated more steatosis (P = .035) and higher copper content (P = .008) than did surrounding hepatic parenchyma. HCCs with high signal intensity on T2-weighted images demonstrated more clear cells (P = .001) than did surrounding hepatic parenchyma. The higher signal intensities on T1-weighted and T2-weighted images were related to a higher and a lower degree of histologic differentiation, respectively. Multivariate analysis showed that the contrast-to-noise ratio between the HCC and surrounding hepatic parenchyma was affected by intratumoral copper content (P = .0338), zinc content of surrounding hepatic parenchyma (P = .0379), and the degree of histologic differentiation on T1-weighted (P = .0031) and T2-weighted (P = .0062) images.
CONCLUSION: The signal intensity of HCC on T1-weighted images is related to the degree of histologic differentiation, intratumoral copper content, and zinc content of surrounding hepatic parenchyma, whereas the signal intensity on T2-weighted images is related to the degree of histologic differentiation.

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Year:  1999        PMID: 9885591     DOI: 10.1148/radiology.210.1.r99ja4181

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  21 in total

1.  Evaluation of hepatocellular carcinoma using SonoVue, a second generation ultrasound contrast agent: correlation with cellular differentiation.

Authors:  Carlos Nicolau; Violeta Catalá; Ramón Vilana; Rosa Gilabert; Luis Bianchi; Manel Solé; Mario Pagés; Concepció Brú
Journal:  Eur Radiol       Date:  2004-03-09       Impact factor: 5.315

Review 2.  Advances in computed tomography and magnetic resonance imaging of hepatocellular carcinoma.

Authors:  Tiffany Hennedige; Sudhakar K Venkatesh
Journal:  World J Gastroenterol       Date:  2016-01-07       Impact factor: 5.742

Review 3.  Current status of imaging biomarkers predicting the biological nature of hepatocellular carcinoma.

Authors:  Norihide Yoneda; Osamu Matsui; Satoshi Kobayashi; Azusa Kitao; Kazuto Kozaka; Dai Inoue; Kotaro Yoshida; Tetsuya Minami; Wataru Koda; Toshifumi Gabata
Journal:  Jpn J Radiol       Date:  2019-02-02       Impact factor: 2.374

4.  Assessment of hepatocellular carcinomas using conventional magnetic resonance imaging correlated with histological differentiation and a serum marker of poor prognosis.

Authors:  Shotaro Enomoto; Hideyuki Tamai; Naoki Shingaki; Yoshiyuki Mori; Kosaku Moribata; Tatsuya Shiraki; Hisanobu Deguchi; Kazuki Ueda; Izumi Inoue; Takao Maekita; Mikitaka Iguchi; Kimihiko Yanaoka; Masashi Oka; Masao Ichinose
Journal:  Hepatol Int       Date:  2011-01-09       Impact factor: 6.047

Review 5.  The status of zinc in the development of hepatocellular cancer: an important, but neglected, clinically established relationship.

Authors:  Leslie C Costello; Renty B Franklin
Journal:  Cancer Biol Ther       Date:  2014-01-21       Impact factor: 4.742

6.  Prediction of histological grade of hepatocellular carcinoma using quantitative diffusion-weighted MRI: a retrospective multivendor study.

Authors:  Yusuke Ogihara; Yoshio Kitazume; Yoshihiro Iwasa; Shinichi Taura; Yoshiro Himeno; Tomo Kimura; Seishi Sawano; Shigehiko Terada; Minoru Tanabe; Yukihisa Saida; Ukihide Tateishi
Journal:  Br J Radiol       Date:  2018-02-05       Impact factor: 3.039

7.  Differentiating malignant from benign hyperintense nodules on unenhanced T1-weighted images in patients with chronic liver disease: using gadoxetic acid-enhanced and diffusion-weighted MR imaging.

Authors:  Ji Yoon Moon; Seong Hyun Kim; Seo-Youn Choi; Jeong Ah Hwang; Ji Eun Lee; Jisun Lee
Journal:  Jpn J Radiol       Date:  2018-06-06       Impact factor: 2.374

Review 8.  Hepatocellular Carcinoma: Current Imaging Modalities for Diagnosis and Prognosis.

Authors:  Maxime Ronot; Yvonne Purcell; Valérie Vilgrain
Journal:  Dig Dis Sci       Date:  2019-04       Impact factor: 3.199

9.  Apparent diffusion coefficient value of diffusion-weighted imaging for hepatocellular carcinoma: correlation with the histologic differentiation and the expression of vascular endothelial growth factor.

Authors:  Suk Hee Heo; Yong Yeon Jeong; Sang Soo Shin; Jin Woong Kim; Hyo Soon Lim; Jae Hyuk Lee; Yang Seok Koh; Chol Kyoon Cho; Heoung Keun Kang
Journal:  Korean J Radiol       Date:  2010-04-29       Impact factor: 3.500

Review 10.  CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part II. Extracellular agents, hepatobiliary agents, and ancillary imaging features.

Authors:  Jin-Young Choi; Jeong-Min Lee; Claude B Sirlin
Journal:  Radiology       Date:  2014-10       Impact factor: 11.105

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