Literature DB >> 25818729

Prediction of microvascular invasion of hepatocellular carcinomas with gadoxetic acid-enhanced MR imaging: Impact of intra-tumoral fat detected on chemical-shift images.

Ji Hye Min1, Young Kon Kim2, Sanghyeok Lim3, Woo Kyoung Jeong1, Dongil Choi1, Won Jae Lee1.   

Abstract

PURPOSE: To investigate the impact of intra-tumoral fat detected by chemical-shift MR imaging in predicting the MVI of HCC.
MATERIALS AND METHODS: Gadoxetic acid-enhanced MR imaging of 365 surgically proven HCCs from 365 patients (306 men, 59 women; mean age, 55.6 years) were evaluated. HCCs were classified into two groups, fat-containing and non-fat-containing, based on the presence of fat on chemical-shift images. Fat-containing HCCs were subdivided into diffuse or focal fatty change groups. Logistic regression analyses were used to identify clinical and MR findings associated with MVI.
RESULTS: Based on MR imaging, 66 tumors were classified as fat-containing HCCs and 299 as non-fat-containing HCCs. Among the 66 fat-containing HCCs, 38 (57.6%) showed diffuse fatty changes and 28 (42.4%) showed focal fatty changes. MVI was present in 18 (27.3%) fat-containing HCCs and in 117 (39.1%) non-fat-containing HCCs (P=0.07). Univariate analysis revealed that serum alpha-fetoprotein (AFP) and tumor size were significantly associated with MVI (P<0.001). A multiple logistic regression analysis showed that log AFP (odds ratio 1.178, P=0.0016), tumor size (odds ratio 1.809, P<0.001), and intra-tumoral fat (odds ratio 0.515, P=0.0387) were independent variables associated with MVI.
CONCLUSION: Intra-tumoral fat detected with MR imaging may suggest lower risk for MVI of HCC and, therefore, a possibly more favorable prognosis, but the clinical value of this finding is uncertain.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Fat; Gd-EOB-DTPA; Hepatocellular carcinoma; Magnetic resonance imaging; Microvascular invasion

Mesh:

Substances:

Year:  2015        PMID: 25818729     DOI: 10.1016/j.ejrad.2015.03.002

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  21 in total

Review 1.  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

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

3.  Nomogram to Assist in Surgical Plan for Hepatocellular Carcinoma: a Prediction Model for Microvascular Invasion.

Authors:  Shengtao Lin; Feng Ye; Weiqi Rong; Ying Song; Fan Wu; Yunhe Liu; Yiling Zheng; Tana Siqin; Kai Zhang; Liming Wang; Jianxiong Wu
Journal:  J Gastrointest Surg       Date:  2019-02-28       Impact factor: 3.452

4.  Magnetic resonance imaging with gadoxetic acid for local tumour progression after radiofrequency ablation in patients with hepatocellular carcinoma.

Authors:  Tae Wook Kang; Hyunchul Rhim; Jisun Lee; Kyoung Doo Song; Min Woo Lee; Young-Sun Kim; Hyo Keun Lim; Kyung Mi Jang; Seong Hyun Kim; Geum-Youn Gwak; Sin-Ho Jung
Journal:  Eur Radiol       Date:  2016-01-08       Impact factor: 5.315

5.  The Clinical Implications of Liver Resection Margin Size in Patients with Hepatocellular Carcinoma in Terms of Positron Emission Tomography Positivity.

Authors:  Jae Hyun Park; Dong Hwi Kim; Sung Hoon Kim; Moon Young Kim; Soon Koo Baik; In Su Hong
Journal:  World J Surg       Date:  2018-05       Impact factor: 3.352

6.  Multiplication of Tumor Volume by Two Tumor Markers Is a Post-Resection Prognostic Predictor for Solitary Hepatocellular Carcinoma.

Authors:  Shin Hwang; Gi-Won Song; Young-Joo Lee; Ki-Hun Kim; Chul-Soo Ahn; Deok-Bog Moon; Tae-Yong Ha; Dong-Hwan Jung; Gil-Chun Park; Sung-Gyu Lee
Journal:  J Gastrointest Surg       Date:  2016-06-16       Impact factor: 3.452

7.  A scientometric analysis on hepatocellular carcinoma magnetic resonance imaging research from 2008 to 2017.

Authors:  Da-Wei Yang; Xiao-Pei Wang; Zhen-Chang Wang; Zheng-Han Yang; Xue-Feng Bian
Journal:  Quant Imaging Med Surg       Date:  2019-03

8.  MRI Features for Predicting Microvascular Invasion of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Seung Baek Hong; Sang Hyun Choi; So Yeon Kim; Ju Hyun Shim; Seung Soo Lee; Jae Ho Byun; Seong Ho Park; Kyung Won Kim; Suk Kim; Nam Kyung Lee
Journal:  Liver Cancer       Date:  2021-03-11       Impact factor: 11.740

9.  Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging.

Authors:  Takashi Ota; Masatoshi Hori; Kosuke Sasaki; Hiromitsu Onishi; Atsushi Nakamoto; Mitsuaki Tatsumi; Hideyuki Fukui; Kazuya Ogawa; Noriyuki Tomiyama
Journal:  Medicine (Baltimore)       Date:  2021-05-21       Impact factor: 1.817

10.  Irregular vascular pattern by contrast-enhanced ultrasonography and high serum Lens culinaris agglutinin-reactive fraction of alpha-fetoprotein level predict poor outcome after successful radiofrequency ablation in patients with early-stage hepatocellular carcinoma.

Authors:  Hitomi Takada; Kaoru Tsuchiya; Yutaka Yasui; Natsuko Nakakuki; Nobuharu Tamaki; Shoko Suzuki; Hiroyuki Nakanishi; Jun Itakura; Yuka Takahashi; Masayuki Kurosaki; Yasuhiro Asahina; Nobuyuki Enomoto; Namiki Izumi
Journal:  Cancer Med       Date:  2016-10-17       Impact factor: 4.452

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.