A radiogenomic analysis of hepatocellular carcinoma: association between fractional allelic imbalance rate index and the liver imaging reporting and data system (LI-RADS) categories and features

被引:12
作者
Furlan, Alessandro [1 ]
Almusa, Omar [1 ]
Yu, Robinson K. [1 ,2 ]
Sagreiya, Hersh [1 ,3 ]
Borhani, Amir A. [1 ]
Bae, Kyongtae T. [1 ]
Marsh, J. Wallis [4 ,5 ]
机构
[1] Univ Pittsburgh, Dept Radiol, Med Ctr, Pittsburgh, PA 15260 USA
[2] Brigham & Womens Hosp, Dept Radiol, 75 Francis St, Boston, MA 02115 USA
[3] Stanford Univ, Dept Radiol, Stanford, CA 94305 USA
[4] West Virginia Univ, Dept Surg, Morgantown, WV USA
[5] Univ Pittsburgh, Dept Surg, Med Ctr, Pittsburgh, PA USA
关键词
GENE-EXPRESSION PROGRAMS; RECURRENCE; DIAGNOSIS; CRITERIA; MARKERS; VERSION; TUMOR; CT;
D O I
10.1259/bjr.20170962
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective: To evaluate the association between the liver imaging reporting and data system (LI-RADS) categories and features and the fractional allelic imbalance (FAI) rate index of hepatocellular carcinoma (HCC). Methods: The institutional review board approved this retrospective study. Medical records collected between January 2008 and December 2013 were reviewed to find patients with histologically confirmed HCC, FAI analysis, and CT or MR imaging of the liver. The final population included 71 patients (54 males, 17 females). Three radiologists reviewed the images using the LI-RADS v. 2014. The association between FAI and LI-RADS categories and features was tested using the Spearman's rank correlation coefficient (rho) and the Wilcoxon rank-sum test [low FAI (<40%) vs high FAI (>= 40%)]. A p value < 0.007 was used as the threshold for statistical significance after application of the Bonferroni correction for multiple comparisons. Results: HCCs were classified as LR-3 (n = 4), LR-4 (n = 22), and LR-5 (n = 45). There was a positive correlation (rho = 0.264) between FAI rate index and LI-RADS category, although not statistically significant after Bonferroni correction (p = 0.024). 14 of the 20 (70%) HCCs with high FAI (>= 40%) were categorized as LR-5, 6/20 (30%) as LR-4 and none as LR-3 (p = 0.377). Among the evaluated LI-RADS imaging features, only lesion size showed a statistically significant different distribution in tumors with high FAI compared to those with low FAI. HCCs with FAI >= 10% were larger (56 +/- 42 mm) compared to those with FAI <40% (36 +/- 30 mm; p = 0.005). Conclusion: There was a positive correlation, although not statistically significant, between the LI-RADS diagnostic categories and the FAI rate of HCC. Tumors with high FAI were larger compared to those with low FAI. Advances In knowledge: HCCs with high (>= 40%) FAI are larger compared to those with low (<40%) FAI.
引用
收藏
页数:6
相关论文
共 19 条
  • [1] American College of Radiology, 2014, LIV IM REP DAT SYST
  • [2] [Anonymous], 2017, LIV IM REP DAT SYST
  • [3] A computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma
    Banerjee, Sudeep
    Wang, David S.
    Kim, Hyun J.
    Sirlin, Claude B.
    Chan, Michael G.
    Korn, Ronald L.
    Rutman, Aaron M.
    Siripongsakun, Surachate
    Lu, David
    Imanbayev, Galym
    Kuo, Michael D.
    [J]. HEPATOLOGY, 2015, 62 (03) : 792 - 800
  • [4] Fractional allelic imbalance could allow for the development of an equitable transplant selection policy for patients with hepatocellular carcinoma
    Dvorchik, Igor
    Schwartz, Myron
    Fiel, M. Isabel
    Finkelstein, Sydney D.
    Marsh, J. Wallis
    [J]. LIVER TRANSPLANTATION, 2008, 14 (04) : 443 - 450
  • [5] Hepatocellular carcinoma: Recent trends in the United States
    El-Serag, HB
    [J]. GASTROENTEROLOGY, 2004, 127 (05) : S27 - S34
  • [6] 2017 Version of LI-RADS for CT and MR Imaging: An Update
    Elsayes, Khaled M.
    Hooker, Jonathan C.
    Agrons, Michelle M.
    Kielar, Ania Z.
    Tang, An
    Fowler, Kathryn J.
    Chernyak, Victoria
    Bashir, Mustafa R.
    Kono, Yuko
    Do, Richard K.
    Mitchell, Donald G.
    Kamaya, Aya
    Hecht, Elizabeth M.
    Sirlin, Claude B.
    [J]. RADIOGRAPHICS, 2017, 37 (07) : 1994 - 2017
  • [7] Microdissection-based allelotyping discriminates de novo tumor from intrahepatic spread in hepatocellular carcinoma
    Finkelstein, SD
    Marsh, W
    Demetris, AJ
    Swalsky, PA
    Sasatomi, E
    Bonham, A
    Subotin, M
    Dvorchik, I
    [J]. HEPATOLOGY, 2003, 37 (04) : 871 - 879
  • [8] Interreader Reliability of LI-RADS Version 2014 Algorithm and Imaging Features for Diagnosis of Hepatocellular Carcinoma: A Large International Multireader Study
    Fowler, Kathryn J.
    Tang, An
    Santillan, Cynthia
    Bhargavan-Chatfield, Mythreyi
    Heiken, Jay
    Jha, Reena C.
    Weinreb, Jeffrey
    Hussain, Hero
    Mitchell, Donald G.
    Bashir, Mustafa R.
    Costa, Eduardo A. C.
    Cunha, Guilherme M.
    Coombs, Laura
    Wolfson, Tanya
    Gamst, Anthony C.
    Brancatelli, Giuseppe
    Yeh, Benjamin
    Sirlin, Claude B.
    [J]. RADIOLOGY, 2018, 286 (01) : 173 - 185
  • [9] Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging
    Hectors, Stefanie J.
    Wagner, Mathilde
    Bane, Octavia
    Besa, Cecilia
    Lewis, Sara
    Remark, Romain
    Chen, Nelson
    Fiel, M. Isabel
    Zhu, Hongfa
    Gnjatic, Sacha
    Merad, Miriam
    Hoshida, Yujin
    Taouli, Bachir
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [10] Heterogeneous Type 4 Enhancement of Hepatocellular Carcinoma on Dynamic CT Is Associated With Tumor Recurrence After Radiofrequency Ablation
    Kawamura, Yusuke
    Ikeda, Kenji
    Seko, Yuya
    Hosaka, Tetsuya
    Kobayashi, Masahiro
    Saitoh, Satoshi
    Kumada, Hiromitsu
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2011, 197 (04) : W665 - W673